Intel: Recent Episodes
Intel Corporation
Intel consistently challenges the laws of physics as it advances chip technology, leading the industry in advances in technology, education, culture, manufacturing and social responsibility. From behind-the-scenes looks into building the latest chips to breaking news updates on the products that will take advantage of the newest advances in chip technology, find out directly from the experts at Intel.
Intel is entering a new era, with Intel Product and Intel Foundry as separate business entities. Through activities such as accelerated adoption of AI capabilities, data transformation, and ongoing modernization of factory and data center alike, Intel IT plays a pivotal role as a resilient change agent. We are aligning IT investments and initiatives with Intel’s strategic business objectives and are building resilience into our IT systems, processes, and organizational culture to support enterprise-wide resilience.
This year’s Intel IT Annual Performance Report chronicles Intel IT’s recent efforts and achievements within four categories: enabling the business to thrive, driving operational excellence, delivering an amazing employee experience, and shaping a resilient workforce.
The report includes an opening letter from our CIO, Motti Finklestein, and numerous success stories. Here is just a sampling:
- We have developed an enterprise-grade, scalable GenAI platform and a dashboard that enables us to track the lifecycle and business value of all GenAI projects across Intel. 30,000 monthly users have already created more than 7,000 personal assistants, and our 400+ GenAI use cases have generated an estimated USD 376 million in business value.
- We are nearing completion of modernizing our enterprise resource planning (ERP) platform. So far, we have over 56 million master and transactional data records loaded, and during our first and second releases, we achieved 100% and 90% data load success, respectively. We are now poised to start scaling our data strategy across the enterprise.
- We are transforming our data centers by using sustainable technology like advanced cooling techniques and fuel cell technology; deploying software-defined networking; and evolving our enterprise architecture (EA) processes and practices. The EA effort alone has eliminated more than 300 in-house applications, removed 1,400 commercial software products from the environment, and generated USD 13 million in cost avoidance.
- Factory modernization initiatives include implementing a 5G private network and extending our industrial Internet of Things (IIoT). We have also deployed over a dozen robots equipped with multiple integrated IoT sensors; these robots can autonomously roam Intel facilities to perform facility inspections and read values from instrumentation.
- We are transforming the employee experience through cloud-based client device management, improving the Wi-Fi experience using client analytics, and benchmarking the PC experience to pinpoint applications that negatively affect battery life. We have cut the number of “How do I…” support tickets by 30% by deploying a GenAI-based chatbot.
- We are creating a strong workforce that can keep innovating despite disruption and rapid change. Our new People Council is staffed by leaders who focus on developing and retaining top talent, talent trends, and strategic workforce planning. Our employee training programs center on five top skills for the future: AI, SAP, cloud, business relationship management, and data.
Read the entire APR for the details of these stories and more.
Modern electrical grids incorporate redundancy and automated rerouting to maintain a reliable electrical supply during equipment failures or natural disasters. Plants have coping mechanisms to deal with adverse conditions like drought. Similarly, it is important that IT systems, including applications, infrastructure, platforms, and services, can withstand or recover quickly from difficulties. Resilient technology helps companies thrive, and when disruptions occur, enables them to emerge stronger than before.
In 2024, Intel IT launched our OneIT Resiliency Program, geared to instill resiliency across technologies, operations, and culture and organizational entities. In addition to defining these three pillars, we codified resiliency through a unique combination of framework, principles, standards, maturity model, and roadmaps. We focused first on applications, closing 100% of all resiliency gaps in Tier 1 applications by the end of the year. We also successfully weathered a major incident caused by one of our security software vendors: Despite widespread PC failure across the company, we restored functionality in just a few hours for Tier 1 and Tier 2 applications and under 1.5 days for all applications at Intel.
During 2025, we will extend our efforts to infrastructure and data centers. We hope that our resiliency framework, standards, blueprints, recipes, and maturity model will inspire other IT departments to pursue a similar path to IT—and enterprise—resilience.
Intel’s manufacturing landscape is evolving rapidly, driven by digital transformation and automation. Intel’s manufacturing facilities generate vast amounts of data that must be efficiently processed, analyzed, and secured to optimize operations and maintain competitiveness.
In 2013, we deployed an “ultra” data warehouse that replaced our older fragmented and siloed databases. It has stood the test of time, easily scaling as we added yet more data and data domains. As Intel transitions to a foundry model, its factories will become more complex and will generate even more data than before. Plus, security is becoming even more critical—Intel must not only protect its own manufacturing data from unauthorized access; it must also ensure that Intel Foundry customers have confidence that their data is in safe hands and guaranteed to be separate from Intel’s data. We have implemented process-specific security (PSS), which helps prevent unauthorized data access while still delivering efficient query execution.
Our highly secure and high-performance data warehouse, running on modern Intel architecture, helps unlock important insights hidden in massive manufacturing data volumes. This solution has shown that it can reliably scale to handle not only today’s data challenges but also grow with Intel as it expands its factories to support its foundry model and IDM 2.0.
Training models on Intel Gaudi accelerators is helping improve efficiency in Intel’s factories.
Intel’s smart manufacturing environment relies on AI to improve yield, perform root-cause analysis, and accelerate anomaly detection. As Intel transforms to an internal foundry model, it is crucial that the Manufacturing Automation team helps improve factory efficiency by enabling faster, more cost-efficient deep-learning (DL) and machine-learning (ML) workloads.
We recently benchmarked a manufacturing object detection DL model training workload. We compared the performance of our legacy GPU-based system, a vendor upgrade to the GPUs, and Intel® Gaudi® accelerators. Our AI-based solution using Intel Gaudi accelerators produced the following benefits:
• A 20% improvement in DL model training time
• Reduced manual processes for employees and faster defect detection
• Streamlined workflows and enhanced manufacturing efficiency
• Improved cost efficiency and better supply chain availability for reduced operational expenses
Intel’s AI hardware and software ecosystem is a competitive and efficient solution for high-volume manufacturing (HVM) use cases. The manufacturing efficiency offered by Intel Gaudi accelerators will help us improve production yields and increase Intel factory revenue.
Software-defined networking (SDN) is helping Intel IT keep up with Intel’s business expansion. We regularly experience an annual 25% increase in demand for data center network capacity. Furthermore, business pressures necessitate that new capacity be operational within 24 hours. As early as 2014, we acknowledged the potential of SDN to help address these challenges.
After evaluating the components and architectures of SDN, we opted for an open, standards-based architecture rather than a supplier-centric solution. As our SDN architecture has evolved, we have established a standardized and scalable data center network architecture that extensively uses automation. The open interface provides the flexibility to integrate additional business-driven automation, enabling us to meet our growth objective and timeline requirements.
Our network architecture strategy relies on five pillars:
• Scalability through standardization. We maintain compliancy with our standards for hardware, OS, device roles, topology, configurations, and solutions to enable automation and rapid scalability at large data centers.
• Programmability. This allows our workforce to adapt to significant growth in network scale with improved speed. It also facilitates full lifecycle provisioning of network infrastructure from Day 0 to end of life.
• Security. We have the capability to segment the network using a common infrastructure to support various use cases and enhance data center security.
• Resiliency. Built-in network resiliency helps ensure the continuous operation of network functionality, facilitates rapid recovery, and maintains performance even in compromised conditions.
• Supportability. We strive to be sure the network maintains its designed level of performance and availability of the network. Adhering to standards facilitates troubleshooting.
Over the past five years, we have migrated the majority of our data centers to a new SDN architecture that employs a leaf-spine underlay combined with overlay networks. By utilizing Industry-standard components and protocols, we have significantly improved network delivery times while reducing the need for human resources, thereby enhancing overall efficiency. Additionally, we have increased the stability and reliability of the network and consolidated multiple dedicated customer networks onto a common infrastructure that’s integrated with enhanced security controls.
Intel IT adopted a “right workload, right place” multicloud strategy nearly 10 years ago. This strategy has accelerated application development and deployment agility, achieved cost-responsible scalability, and enabled our business partners across Intel to achieve their business goals.
A decade of validation has underscored that emphasizing business value in cloud hosting decisions is advantageous. However, we continue to adapt our multicloud strategy as both business needs and the IT ecosystem evolve.
Some of those adaptations include the following:
• Developing a unified hosting portal for our cloud management platform.
• Embracing open-source offerings for our database as a service (DBaaS) solutions.
• Honing our application hosting decisions so our use of software as a service (SaaS), public cloud, and private cloud is optimized.
• Rapidly scaling our containers as a service (CaaS) environment.
• Supporting the growth of AI and automation.
But the cloud journey is never finished. New trends in the enterprise—such as the increasing use of AI, as well as innovations in the IT landscape—mean that we must continue to evaluate and evolve our multicloud strategy to consistently support the business in the most cost-efficient manner possible.
To benchmark the end-user PC experience, Intel IT uses tools that clarify PC power consumption and applications’ effect on battery life. This helps us optimize the IT build and answer one of the most common questions we receive from users: “Why doesn’t my corporate laptop battery last as long as my laptop at home?”
We know employees want to be as productive as possible, and battery life is crucial to Intel’s highly mobile workforce. On the other hand, our IT build includes several components that help keep Intel’s data and intellectual property safe. Necessarily, these additional software components consume their fair share of power. To fully understand what users are experiencing with their laptops—as well as how the Intel IT build introduces power consumption overhead—we rigorously benchmark the corporate PC experience.
In collaboration with Intel’s Client Computing group, we recently overhauled our PC experience benchmarking methodology and toolset. We adopted new benchmarking tools that more accurately represent the applications that Intel employees use. We also now use the Intel® Battery Life Diagnostic Tool (Intel® BLDT) to identify specific background processes and applications that are responsible for excessive power consumption.
We use these tools to reduce power consumption rates on users’ PCs and help the Client Computing group drive improvements to client devices and meet customers’ expectations. By sharing our benchmarking approach and results, we hope to encourage other IT departments to take a similar approach.
Intel IT’s Information Security (InfoSec) group has adopted capability-based planning (CBP) because it provides a framework for aligning our group’s strategies with Intel’s overall business strategy. CBP helps us prioritize projects and resources, communicate more effectively with business stakeholders, reduce complexity, and become more agile and responsive to changing business needs.
CBP is a planning methodology that drives business-focused outcomes by providing a systematic, objective, and holistic view of a group’s capabilities. In our case, these capabilities center around InfoSec, such as digital identity and access management and privacy management. Using a four-phase cyclical process of alignment, assessment, planning, and management, we can:
• Determine the maturity of every capability using a precise, mathematical formula.
• Identify and prioritize gaps between the current capability maturity and the desired level of maturity.
• Create a roadmap to resolve those gaps.
This comprehensive method of capability mapping and scoring delivers a unified view of capabilities and objectives so that teams can collaborate and optimize cross-functional efficiency.
Adopting CBP has provided several benefits to the InfoSec group:
• Strengthened InfoSec strategic alignment
• Optimized resource allocation for critical security capabilities
• Proactive risk management
• Enhanced security performance tracking
• Improved collaboration for shared security
• Responsive adaptation to third-party security frameworks
As other Intel IT groups—and even business units—see the positive outcomes of CBP, we hope they also begin to adopt it, which would multiply the benefits across all of Intel. Furthermore, CBP has already fostered collaboration across departments and teams.
Our comprehensive method of capability mapping and a formulaic scorecard captures the strategic importance, business goal importance, capability maturity score, and quantified risk. It highlights what is required to execute initiatives successfully. Our solution addresses our longstanding InfoSec planning challenges but can also be applied to other IT groups and even other industries. Adopting CBP is an excellent way to align every decision with its strategic vision and capabilities and drive sustained enterprise success.
“Learn how Intel IT is gaining operational efficiencies resulting from a 5G private network in Intel’s manufacturing environment.
Minimizing factory downtime and improving operational efficiency have always been the driving forces behind Intel IT’s push to digitize equipment in both factory and subfab environments. Now, we’re expanding these efforts by working with Intel’s Corporate Services (CS) team to connect critical factory-support infrastructure, including surveillance systems in guardhouses, electrical supply equipment, water systems, and more.
Connecting equipment in remote outdoor areas to the corporate network has always been a challenge. Wi-Fi coverage is limited; hard wiring is costly and time-intensive; and relying on public networks introduces concerns with cost, performance, and security. After reviewing the options, we chose to roll out 5G private networks at Intel factories to extend wireless connectivity for key use cases in Internet of Things (IoT), robotics, operations, and security. This deployment, combined with 5G-enabled IoT Gateways and an array of sensors, lets us reach further and deliver more robust connectivity where it’s needed.
With our 5G private network in place, CS technicians can tap into sensor data to gain deeper visibility into equipment health, enabling predictive and preventative maintenance. This enhanced connectivity also allows technicians to connect field devices, like tablets, directly to the corporate network to increase efficiency. Currently, our 5G private program supports only 13 use cases—a fraction of the potential applications. Our 5G deployment spans five factories and is projected to generate a net present value of USD 35M over the next five years.
We hope that by sharing our 5G private network journey, we can inspire other IT departments to explore using this technology to continue the digital transformation of their previously unconnected environments.”
Thousands of Intel’s employees connect to the corporate Wi-Fi network every day. When connectivity issues occur, both productivity and user experience (UX) suffer. Intel IT makes every effort to optimize the network’s performance. Still, until recently, we had little visibility into client behavior through traditional network monitoring solutions because they report issues only from the network infrastructure perspective. At the same time, endpoint IT tools are limited to operating system data.
Based on its existing market presence with PC Wi-Fi products, Intel’s Client Computing product group developed Intel Connectivity Analytics technology. The product group collaborated with Cisco—a well-known enterprise Wi-Fi network infrastructure supplier—and Intel IT to develop compelling use cases and solutions that utilize Intel Connectivity Analytics. Intel IT provided product feedback and practical applications of the technology in our enterprise environment and helped optimize the use cases over Intel’s network infrastructure. Our input helped to better define the data and analytics needed to achieve the desired business outcomes, such as faster troubleshooting, mean time to repair (MTTR), reduced network total cost of ownership, and a better UX.
Intel IT now uses Intel Connectivity Analytics—delivered through the Cisco Catalyst Center (previously Cisco DNA Center) and cloud dashboard—to improve the management of Intel’s Wi-Fi network. We are also working with the overall ecosystem to expand the use cases for Intel Connectivity Analytics and further enhance AI for IT Operations (AIOps). We have reduced some client-side troubleshooting from upwards of 15 minutes to 10–15 seconds. Similarly, finding the root cause for ubiquitous network issues—which could take days—now often takes seconds as well.
We encourage other IT departments to consider deploying IT tools powered by Intel Connectivity Analytics for Wi-Fi, which is built into Intel Wi-Fi adapters and requires no software installation or maintenance. It can be utilized by Cisco and other Intel Connectivity Analytics Program members.
In addition, we are now working with the Intel Client Computing product group to develop an additional Intel Connectivity Analytics offering that shares data through a PC agent to the cloud and expands the available connectivity analytics beyond Wi-Fi to include Thunderbolt technology, Bluetooth, Ethernet, and more.
With the surge in the growth and adoption of Generative AI (GenAI) tools, Intel has seen hundreds of employees and teams begin using and developing tools based on commercial large language models (LLMs).
Recognizing the immense potential of these tools to enhance efficiency and innovation—as well as concerns around AI data security, ethical use, and accuracy of responses—Intel IT formed a working group to understand common usage patterns, coordinate knowledge sharing across teams, and establish guidelines for safe usage.
This proactive approach led to the development of a new platform, aimed at democratizing Intel’s use of GenAI by empowering employees at all levels of technical skill to use these tools to improve their day-to-day productivity and unlock new efficiencies in Intel’s business processes.
Our initiative is designed to facilitate the use of GenAI without the need to repeatedly rebuild common components, thereby reducing security risks and speeding time to value. The rapid deployment of this platform has already demonstrated tangible value. Although the platform is currently in pilot, early users have reported notable increases in productivity. We estimate that approximately 75% of Intel employees will eventually use the GenAI platform.”
Intel is evolving quickly, and Intel IT is a key driver in that evolution. As the architects of Intel’s IT landscape, we are the strategic, trusted technology partner for Intel’s business. Our focus is on innovation, AI, and optimization as well as the IT experience of our workforce, our end users, and Intel’s customers.
The 21st edition of the IT Annual Performance Report highlights the transformative progress we made in 2023 and how IT is providing the essential technology and resources that will spearhead Intel’s transformation and continued growth in 2024.
Please explore the report for more on our accomplishments and plans ahead.
Intel IT migrated enterprise data analytics to the cloud, enabling faster turnaround of business requests and increased operational efficiency.
Digital twins are revolutionizing how we model, simulate, and optimize everything—from product designs to real-world systems and processes across virtually every industry.
For our manufacturing process, we developed Intel Operations Recon to model, simulate, and optimize our manufacturing operations, improve yields accelerate problem resolution and training, increase uptime, and more. And now we’re making Intel Operations Recon available to all kinds of industries that can benefit from it. And the software can be customized to model, simulate,
analyze and optimize operations based on each customer’s specific needs.
Intel Operations Recon enables you to see your world in three modes:
- Live mode—where you can track and analyze what’s happening live, in real-time.
- Playback mode—which lets you see and analyze historical operations and problems.
- Simulation mode—where you can quickly and easily simulate “What if” scenarios to analyze and optimize decisions and responses to maximize operating excellence.
Intel Operations Recon benefits also extend beyond efficiency. You can also use it to improve safety and customer satisfaction, reduce costs and risks, contribute to your sustainability initiatives, and more.
In this video, we provide an example of how Intel Operations Recon could be applied to the airline industry.
If are you ready to unlock unprecedented levels of visibility, insights, and efficiency in your operations quickly and easily with Intel Recon, reach out to recon.info@intel.com to get started.
Intel IT is using computer vision and AI for inline inspection in Intel’s assembly and test factories.
Keeping Intel’s global network of factories running at top efficiency is one of Intel IT’s primary roles. Over the last decade, we have introduced numerous automated, artificial intelligence (AI)-based solutions that significantly reduce waste and improve product quality. Recently, we added a new capability using computer vision (CV) and machine learning that enables us to perform inline inspection during assembly and test processes. Inline inspection can catch defects and tool issues much earlier than offline inspection. Additionally, our solution, called Intelligent Wafer Vision Inspection (IWVI), can easily detect micrometer-sized defects that are hard to see even with a microscope, as well as defects that are impossible to detect after the process is complete.
High-resolution cameras take multiple images per second while a grinding tool thins the wafer, and a protective polyester film is installed. The images are analyzed by a machine-learning model at the edge. If defects are detected, the solution can sound an alarm or even stop the tool.
The solution, which includes Intel® Core™ i9 processors, Intel® Xeon® Scalable processors and Intel ARC A770 discrete GPUs, is being deployed to all Intel assembly and test factories.
The IWVI solution has been identified as a critical solution to help ensure the quality and reliability of new generations of products in Intel’s factories of the future. Its standardized design results in fast deployment and easy extendibility to new use cases. The PoC demonstrated that the solution could accurately identify many types of defects in the wafer-thinning process, including indentations, scratches of various sizes, grinding marks, stains, cracks, bubbles, wafer shift and mount shift.
The PoC demonstrated that up to 50% of wafer-thinning issues can be detected earlier with inline inspection compared to offline inspection. When the IWVI alarm sounds, the wafer can be reworked, which avoids whole-wafer delamination during downstream processes. More importantly, the solution goes beyond what was possible with offline metrology:
• Detects excursions as they occur.
• Detects process defects and shuts down the tool quickly.
• Enables a new capability to inspect frame cleanness and inner ring.
Using the IWVI solution, we achieve several business benefits:
• Scrap avoidance, saving Intel up to USD 2 million each year.
• Reduced business risk.
• Higher product quality.
• Freeing engineers from tedious manual offline inspection
We anticipate that the solution will eventually extend to additional processes, and we are excited to share our success with other manufacturers, who may be able to adapt the solution to additional use cases.
Learn the latest in Intel IT’s approach to fault detection for factory equipment.
For many years, Intel IT has utilized a standard infrastructure with Industrial Internet of Things (IIoT) sensors and Intel IoT Gateways for various applications on the factory floor. Simultaneously, we have employed a separate and expensive vendor-based system for fault detection and classification (FDC) on factory equipment. This system has contributed to reduced factory downtime and enhanced predictive maintenance on certain subfab equipment, such as pumps, gas abatement systems, chillers, and more.
To lower costs, increase quality and accelerate necessary changes in the factory, we explored displacing the vendor’s system with our standardized IoT infrastructure. We also added new, innovative command-and-control capabilities. As we connected tools to our IIoT infrastructure, our system proved to be 10x less expensive than the vendor’s solution. It is also more flexible and can communicate with open standards and proprietary protocols.
The “brains” of the system are a collection of Python drivers—written by software developers in any Intel group who wants to contribute to the code—that control both the data collection and the command-and-control capabilities. This open-source solution has zero license costs and democratizes the solution; if another machine needs closed-loop control, an engineer can simply add a new driver to the library. The solution consists of the data collection plane and the control plane:
• Data collection plane. Python drivers set up the communication with the equipment, collect data, analyze and format the data, and publish it to consuming applications using the message queue telemetry transport (MQTT) protocol.
• Control plane. The same Python drivers apply logic to create the control command, send the command to the relevant equipment and verify that it succeeded. The result of the command is published to the appropriate backend manufacturing system, again using MQTT
Having demonstrated lower costs and improved product quality, we are now scaling our IIoT-based FDC solution to over a thousand subfab tools. We estimate the solution’s value as high as USD 16 million for just a single factory that contains hundreds of subfab entities that support the wafer-etching process.
Our low-cost IIoT manufacturing use cases create savings & reduce downtime. We hope they inspire other manufacturers to adopt a similar approach.
Increasing Electronic Design Automation (EDA) performance and throughput is critical to Intel’s silicon Design engineers.
Silicon chip Design engineers at Intel face ongoing challenges: integrating more features into ever-shrinking silicon chips, bringing products to market faster and keeping Design engineering and manufacturing costs low. Design engineers run more than 273 million compute-intensive batch jobs every week. Each job takes from a few seconds to several days to complete.
As design complexity increases, so do the requirements for compute capacity, so refreshing servers and workstations with higher-performing systems is cost-effective and offers a competitive advantage by enabling faster chip design. Refreshing older servers also enables us to realize data center cost savings. By taking advantage of the performance and power-efficiency improvements in new server generations, we can increase computing capacity within the same data center footprint, helping to avoid expensive data center construction and reduce operational costs due to reduced power consumption.
To meet these engineers’ computing capacity requirements, Intel IT conducts ongoing throughput performance tests using real-world Intel silicon Design workloads. These tests measure EDA workload throughput and help us analyze the performance improvements—and in turn, business benefits offered by newer generations of Intel® processors.
We recently tested two-socket servers based on the Intel® Xeon® Platinum 8400 and Gold 6400 processor Series, operating single- and multi-threaded EDA applications running Intel silicon Design workloads for more than 113 hours (about 4 and a half days). Select results include the following:
• Higher frequency for per-core performance. For critical-path EDA workloads, selecting a high-frequency CPU like the Intel Xeon Gold 6444Y processor (32 cores per server) can deliver up to 1.14x higher per-core performance compared to lower-frequency, higher-core-count CPUs in the same generation of processors.
• Higher core counts for throughput. For volume validation runs, selecting a higher-core-count CPU at optimal frequency like the Intel Xeon Platinum 8462Y+ processor (64 cores per server) can deliver up to 1.75x higher Register Transfer Level (RTL) Simulation throughput per server when compared to a lower-core-count CPU (32 cores per server) in the same generation of processors. The Intel Xeon Platinum 8462Y+ processor (64 cores per server) completed workloads up to 2.17x faster than a previous-generation Intel Xeon Gold 6346 processor-based server, which has only 32 cores. Compared to a 2nd Gen Intel Xeon Gold 6246R processor (32 cores per server), the server with the newer processor outperformed the older processor by up to 2.40x in throughput.
Based on our performance assessment and our refresh cycle, we are deploying servers based on the 4th Gen Intel Xeon Scalable processor family in our data centers. By doing so, we have significantly increased EDA throughput performance to improve the overall EDA design cycles and optimize time to market of Intel® chips.
After our successful, proof-of-concept (POC) testing of our on-premise platform, where we found that the Granulate software reduced 25% of memory and 44% of CPU utilization, while offering potential cost savings, we began testing in the cloud Databricks data lake. Collaborating with our technology partner Accenture, Intel IT performed a four-week POC with the active Granulate agent in our Production and Quality Assurance (QA) environment running on the Databricks platform securely in the public cloud. The results included a 23% improvement in vCore compute consumption, a 17% increase in data throughput, and reduced CO2 emissions, aligning with the on-premises benefits we observed previously for another big data workload.
The Intel Information Security proof of concept demonstrated the CrowdStrike Falcon platform can quickly identify, contain, and remediate threats.
CrowdStrike and Intel co-engineered a new, advanced memory scanning capability based on Intel TDT delivering an additional layer of defense.
Improving Thunderbolt intelligence: Data collection and event monitoring provide Intel IT with actionable insights for an improved experience for users.
Thunderbolt technology has established itself as the fastest, simplest, most reliable USB-C connection available—the premier connectivity solution IT can offer users throughout the organization.1 Developed and maintained by Intel Corporation, Thunderbolt provides a universal cable connectivity solution delivering high-speed bandwidth ideal for fast data and video transfer. In addition, Thunderbolt simultaneously charges the user’s laptop—all over a single cable.
Thunderbolt standardization provides IT with the reliability and manageability needed to support users with greatly varying needs. Thunderbolt brand certification mandates a high level of minimum performance and capabilities for ports, cables, PCs, and accessories, increasing dependability across devices and operating systems. As the most comprehensive standard for USB-C connections available on the market, Thunderbolt technology provides IT with the freedom to choose from a broad range of compatible products. Plus, it delivers backward compatibility with earlier Thunderbolt devices, as well as USB-C and display devices.
And now, Intel has developed one more reason for Enterprise IT to take advantage of Thunderbolt technology: Thunderbolt Event Collector (TEC), a new, sophisticated tool for monitoring and managing the Thunderbolt user experience.
The challenge that Intel IT has faced when providing their corporate users with the many advantages of Thunderbolt technology is a lack of visibility into what Thunderbolt users experience. There has been no telemetry to collect and transmit data on a range of events and parameters. How is performance on different applications? Are Intel workers having a seamless experience? Are they using the appropriate devices, and are those devices connecting properly, both individually and when chained together? Are monitors displaying content optimally? And so on. Prior to Thunderbolt Event Collector, Intel IT had few tools to help support users. When a user had a problem with a USB dock or Thunderbolt dock, tech support faced a virtual black box and, in some cases, required more lengthy support sessions to dig into the problem. The results were lengthy (and not always successful) support sessions and disgruntled users.
Thunderbolt Event Collector telemetry provides new insight and understanding of the user experience, helping Intel IT solve user problems more quickly and easily. Installing the tool on ~150,000 laptops throughout the company has enabled Intel IT to gather insights across the entire organization and improve the overall Thunderbolt experience—and do so in the background, transparently, with virtually no negative impact on system performance or usability.
Let’s take a closer look…
Learn how Intel IT uses reliability engineering to cut manufacturing systems unscheduled downtime.
Driven by the rising importance of keeping manufacturing sites operating at full capacity 24/7, Intel Manufacturing IT (MIT) has set a goal of achieving “four nines” (99.99%) availability (or 0.01% downtime) by 2025.
To help achieve this ambitious goal, we added a Reliability Engineer role to enhance the resilience of Intel’s manufacturing facilities. Reliability engineering (RE) is an emerging practice, first developed by cloud-based digital service providers. It focuses on designing systems to be failure-tolerant, so that service is maintained even when individual components fail.
At its core, RE entails identifying design patterns that promote continuity of service, both within individual applications and in their interactions. This approach involves collaboration between the RE team and the development team to help ensure that feedback on opportunities to enhance resilience is received and incorporated into system design. By closing the loop with developers, Reliability Engineers help align their overarching goals for resilience with the feature delivery objectives of the development team, enabling us to create robust and reliable solutions that meet the needs of our stakeholders.
Our Reliability Engineers proactively tackle potential vulnerabilities and develop strategies to mitigate the impact of failures on manufacturing operations. They play a critical role in identifying common failure modes, developing standards and designing solutions to lower the risk of failure.
• Reliability Engineers’ use of the Failure Mode and Effects Analysis (FMEA) methodology enabled us to develop a Resiliency Maturity Model (RMM), which is applicable across all our systems.
• This approach has helped us to identify over 200 resilience improvement projects and add them to our development roadmap for the next two years.
• Through these RE initiatives and implementation of numerous operational improvement activities, unscheduled factory downtime has decreased by 50% from 2019 levels.
Our results show how an RE approach can extend the benefits of resilience to the manufacturing environment, preparing us for future adoption of cloud-based microservice environments. We have demonstrated that best-in-class reliability and availability of IT systems can be achieved by adopting a standard set of RE tools and proactively applying them to improve resilience.”
Learn more about Intel IT’s approach to data center facilities risk management.
Intel IT Intel’s 54 data center modules located around the globe power Intel’s design, office, manufacturing and enterprise business domains—they are the heartbeat of Intel’s continued innovation. Intel IT has recently improved how we approach data center facilities risk management, using a unique combination of processes, data and visibility:
• We adopted the Information Technology Infrastructure Library (ITIL) for incident, problem and change management.
• We developed and conducted a global data center “street to server” audit that probed every aspect of every data center.
• We designed a custom dashboard that provides us with a data center heat map of data center incidents.
Using these processes, data and tools enables us to intelligently prioritize data center risk mitigation efforts and focus investments on problems with the most business impact. Over almost four years, we have reduced the overall data center risk score by a little over 50%. Notable results include:
• We have reduced the occurrence and impact/severity of data center mega-events.
• Both incidents and business impacts are trending down.
• We now make better risk decisions about where to direct our resources.
We have also implemented new maintenance practices and updated our documentation. We expect these efforts to create an increasing return on investment as we measure long-term savings on a revolving five-year basis. Going forward, the team will continue rolling out actions derived from this project, including multi-year construction projects.
As a result of reduced risks, our data center environment is more stable, which reduces business impact. The overall number of incidents has declined and the number of incidents with business impact dropped to nearly zero by the end of 2022. Also, our data indicates that our informed risk-taking decisions have grown increasingly accurate.
We have learned that not investing in our data centers can introduce risk through technical debt. Adoption of the ITIL change, incident and problem management modules— combined with a highly detailed global data center audit over nearly four years and a close working relationship with Corporate Services—has enabled us to lower overall data center risk score by 50%. Key lessons include:
• The ITIL processes gave us the right methodology.
• The street-to-server audit presented us with the necessary data.
• The dashboards and heat map provided us with the necessary visibility.
We can now make data-driven data center investment decisions so we can focus our investments on areas that matter most and that will deliver the best return on investment. We hope that by sharing our best practices, we can help other IT departments take a fresh look at data center risk management.
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IT Best Practices: Improving big data platform efficiency is an ongoing effort for Intel IT. In initial testing, Granulate reduced...[…]
As Intel manufactures hundreds of millions of complex products every year,
Intel IT collects and stores terabytes of manufacturing data to support continual engineering data analysis. As the volume, velocity and complexity of the data increases, it is imperative that we maintain this decision support system at the lowest possible cost. Additionally, we need to be able to assess the cost for future scaling needs. Therefore, we decided to evaluate the scalability, performance and cost of several Intel architecture-based massively parallel processing (MPP) relational database management systems (RDBMS). We found that industry- standard benchmarks did not closely resemble our manufacturing data and did not measure the metrics that were important to us. Therefore, we created a custom MPP RDBMS benchmark that helped us choose a cost-optimized solution.
We used this custom benchmark to complete a comprehensive technical proof of concept (PoC) with several industry-leading MPP RDBMS vendors whose products run on Intel architecture. We are confident that this benchmark enabled us to choose the best Intel Xeon processor-based MPP RDBMS solution while keeping manufacturing data management costs under control. Also, based on the evaluation results, the vendors we worked with have improved their products, strengthening the entire industry ecosystem. And, with the release of the 4th Gen Intel Xeon Scalable processors and associated accelerators, we’re expecting that RDBMS vendors will make their products even more cost competitive. By sharing our benchmark methodology, we hope to help other companies to understand their data better and select a data management system that meets their needs.
Transformer models are the powerful neural networks that have become the standard for delivering advanced performance behind these innovations. But there is a challenge: Training these deep learning models at scale and doing inference on them requires a large amount of computing power. This can make the process time-consuming, complex, and costly.
Today we will talk about all kinds of issues around accessible, production level AI solutions. We also talk about ethical questions around AI usage and why open, democratized AI solutions are important.
Learn more:
Hugging Face
https://huggingface.co
Hugging Face Hub
https://huggingface.co/models
Fast Inference on Large Language Models: BLOOMZ on Habana Gaudi2 Accelerator
https://huggingface.co/blog/habana-gaudi-2-bloom
Accelerating Stable Diffusion Inference on Intel CPUs
https://huggingface.co/blog/stable-diffusion-inference-intel
Transformer Performance with Intel & Hugging Face Webinar
https://www.intel.com/content/www/us/en/developer/videos/optimize-end-to-end-transformer-model-performance.html#gs.pomt5k
Intel Explainable AI Tools
https://github.com/IntelAI/intel-xai-tools
Intel Distribution of OpenVINO Toolkit
https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html
Intel AI Analytics Toolkit (AI Kit)
https://www.intel.com/content/www/us/en/developer/tools/oneapi/ai-analytics-toolkit.html
Guests:
Julien Simon – Chief Evangelist @ Hugging Face
Ke Ding – Principal Engineer @ Intel
The SafeHouse Initiative was organized to provide education and awareness to businesses who are inundated with technical concepts, jargon and terms around the concepts of Business Continuity and Cyber Security. We understand that customers want to focus on their business rather than becoming Cyber Security or Disaster Recovery/Business Continuity technology experts.
Follow Jake on Twitter at:
twitter.com/jakesmithintel
As the world moves towards more specialized hardware like GPUs, Google TPUs, Habana Gaudi (HPU), FPGAs, etc, enabling developers to run their code on the most efficient hardware can be challenging. Intel oneAPI and xPUs are at the vanguard of this shift and Digital Cortex is leading the way forward with its comprehensive set of products built on these emerging technologies. By providing unprecedented access to compute across varying architectures and platforms, Digital Cortex is helping developers unlock new levels of performance while simplifying development processes.
We talk to Digital Cortex CEO Charlie Wardell to learn how Digital Cortex is building on top of the oneAPI vision to bring a marketplace of compute kernels to their platform that can run anywhere. Charlie also shares his thoughts on entrepreneurship and what made him make the leap from working in a company to founding a company.
Learn more:
Digital Cortex
digital-cortex.io
oneAPI
oneapi.io
Intel oneAPI toolkits
intel.com/content/www/us/en/developer/tools/oneapi/overview.html#gs.rahkwl
Guest:
Charlie Wardell – CEO of Digital Cortex
Over the last couple of decades, the world of computer graphics has been growing at an amazing rate. From animated movies to video games, consumers have reaped the benefits of these technological advances. One of the latest algorithmic advances in rendering is path guiding. Learn about path guiding and how you can take advantage of this cool technology using Chaos V-Ray and the Intel Path Guiding Library (OpenPGL)
Learn more:
Chaos V-Ray:
chaos.com
Intel Open Path Guiding Library (OpenPGL) Github
github.com/OpenPathGuidingLibrary/openpgl
Paper: A 5D Tree to Reduce the Variance of Monte Carlo Ray Tracing
Author: Eric Lafortune
researchgate.net/publication/2574746_A_5D_Tree_to_Reduce_the_Variance_of_Monte_Carlo_Ray_Tracing
Paper: Importance driven path tracing using the photon map.
Author: Henrik Jensen
graphics.stanford.edu/~henrik/papers/ewr6.html
Paper: Robust Fitting of Parallax-Aware Mixtures for Path Guiding
Author: Lukas Ruppert
dl.acm.org/doi/10.1145/3386569.3392421
Paper: Practical Path Guiding for Efficient Light-Transport Simulation (a.k.a. Practical Path Guiding)
Author: Thomas Müller
dl.acm.org/doi/10.1111/cgf.13227
Paper: Path Guiding in Production
Author: Jikra Vorba
cgg.mff.cuni.cz/~jirka/path-guiding-in-production/2019/index.htm
See also:
oneapi.com
Guests:
Dian Nikolov – Software Engineer @ Chaos
Sebastian Herholz – Software Engineer @ Intel
Learn why our customers are moving to immersion cooling, and how it and sustainability are changing data centers in this conversation with Intel Fellows Mohan Kumar, Nishi Ahuja and Senior PE Sandeep Ahuja and host Jake Smith.
For more information, visit Data Center Sustainability – Intel and Submer Partner on Immersion Cooling | Intel Business – YouTube:
youtube.com/watch?v=yBVO_YQBYjc
and Intel Data Center Manager | Sustainability:
intel.com/content/www/us/en/…pkw=sustainability
Follow Jake on Twitter at:
twitter.com/jakesmithintel
Quantum computing technology is becoming more viable, which means programming models are going to have to be created to harness this potentially world changing technology. To many developers, understanding the possibilities of quantum computing and moving from a binary world to a world of quantum states is challenging.
Tony talks to Anne Matsuura, a physicist and Director of Quantum Applications and Architecture in Intel Labs about what quantum computing can do for society and how Intel is working on building hardware and software solutions to make that future a reality.
We also talk about what a quantum computer actually looks like today (hint: it’s not a tiny flat chip).
Learn more:
Intel Quantum Computing Homepage
intel.com/content/www/us/en/research/quantum-computing.html
oneAPI
oneapi.io
intel.com/content/www/us/en/developer/tools/oneapi/overview.html
Guests:
Anne Matsuura – Director of Quantum Applications and Architecture in Intel Labs
IT Best Practices: Intel IT planned the deployment of the Vistex rebate management solution, based on the SAP platform, over three releases. The solution was part of a portfolio of modernization initiatives through which Intel sought to standardize its contract structures, rebate accruals, and settlement and payment processes. After Release 1 of the program was deployed, new business requirements dictated that internal users and external customers needed the solution sooner than initially planned.
The team accelerated deployment of Release 2 and Release 3 by applying agile methodologies including test quality practices like end-to-end integration testing. As a result, Intel IT was able to meet the new schedule commitments. Compared to Release 1, the team reduced the testing time of Release 2 by 50 percent and Release 3 by 79 percent. The team achieved these results even as the number of test cases rose in each release: compared to Release 1, test cases increased by 25 percent in Release 2 and by 24 percent in Release 3.
The team attributed much of the reduction in delivery time to automation. By Release 3, Intel IT had automated 66 percent of the end-to-end integration tests and 94 percent of the regression tests. Test-automation efficiency (defined as the ratio of effort saved by automating testing to the effort required for manual testing) was 74 percent for both Releases 2 and 3. Intel IT achieved these levels of accelerated delivery and test efficiency while remaining within the original budget and resources. The team also created a reusable testing framework that can now be applied to other programs. Post-program efficiency was calculated at 75 percent.
By delivering Release 2 and Release 3 on schedule and with high quality, Intel’s internal stakeholders were able to onboard customers faster and gain access to real-time financial information sooner. This allowed Intel’s business groups to respond to market demands more rapidly with faster business decisions.
This paper shares how Intel IT accelerated business value and improved quality through a large-scale test automation program. It describes the team’s use of possibility thinking to jumpstart the pivot to agile methodologies, and it outlines the six test quality practices that the team adopted. The paper also describes Intel IT’s development of a test-automation framework, highlighting both automation efficiency and end-to-end integration testing. By sharing details of the program, Intel IT hopes to enable other teams to build a framework that delivers quality software faster, leading to more rapid realization of business value.
IT Best Practices: How Intel Automated Factory Solutions delivers tremendous benefits to semiconductor manufacturing environments:
The idea of creating replicas of real-world objects is not new. Architects, for instance, have long built models of the buildings they propose to create, giving themselves and clients new perspectives that are much more tangible and informative than sketches, or even detailed blueprints.
But architectural models are static. Today, the ever-increasing technological capabilities of computers equipped with high performance processors mean we can digitize the concept of modeling, raising it to new, dynamic levels. Now, instead of simple physical replicas, we can build Digital Twins (DTs)—data sets that simulate not only the physical attributes of entities (such as shape, color, and size) but also more abstract characteristics (such as strength, elasticity, conductivity, and many more). Plus, once created, Digital Twins of different objectives can be combined into Digital Twin systems, their behavior mimicking that of their real-world counterparts. That behavior can be recorded, analyzed, tested, and revised cyclically.
IT Best Practices: As Intel’s business grows, increased demands on the data center have required greater innovation and new strategies and technologies that support not just lowering costs and improving efficiency, but also meeting environmental responsibility goals.
Today’s environmental and climate-change challenges make managing data centers in a sustainable way – part of our new normal. Intel’s RISE (Responsible, Inclusive, and Sustainable to Enable) strategy and goals include achieving net-zero greenhouse gas emissions in global operations by 2040. This goal is requiring Intel to apply breakthrough solutions and processes throughout the organization, including data centers.
These solutions are helping to manage growing demands on the data center. Compute demand grew by 31% between 2010 to 2021 and raw storage demand grew by 41%. Intel Data Center Manager (Intel DCM) allows us to address these demands while providing a complete picture of all the equipment in the room.
It’s part of a solution that is helping us achieve an overall savings of USD5.9 billion. We achieved this while improving quality-of-service (QoS) levels and reducing the total cost of ownership (TCO) for business applications. This has allowed us to improve IT operational efficiency and environmental responsibility.
Over the last several years, sustainability has emerged as a major corporate priority—shaping everything from R&D programs to manufacturing and distribution processes.
Enterprise IT organizations are clearly positioned to play a pivotal role in hitting their companies’ sustainability goals. A 2021 survey of IT decision makers (ITDMs), conducted by Forrester Research and commissioned by Intel, found that 64% were making sustainability programs a high or critical priority. Further, more than half of the ITDMs surveyed agreed that their organizations’ end-user device purchasers would play a vital role in meeting sustainability goals.
Intel is committed to sustainable practices in everything from their materials sourcing and manufacturing to their processor architecture and our work with OEMs to help push the envelope on power and performance. One of Intel’s most important sustainability success stories just may be systems powered by Intel vPro, an Intel Evo Design. This is where Intel’s sustainability efforts are resonating with ITDMs whose PC purchasing decisions need to deliver on sustainability as well as security and productivity.
Let’s look at why these systems have become such a valuable resource for IT departments tasked with supporting an organization’s broader sustainability goals…
On today’s episode of Conversations in the Cloud Alex Liu, Chief Technology Officer of BasicAI stops by to talk about the company’s efforts at evolving the training data platform. Xtreme1 is the world’s first open-source platform for multisensory training data and can rapidly accelerate the processing and management of training data.
AI engineers spend a preponderance of their time preparing the training data. Through advanced AI-powered annotation tools, Xtreme1 improves modeling. Capable of handling various time-sensitive online/offline tasks, distributed data analysis computation, model training, evaluation, and inference, Xtreme1 is fully compatible with CPU-only runtime environments. In particular, the model inference has been optimized for Intel Xeon CPU to provide higher throughput. Inference throughput on Intel Xeon 8380 is vastly improved with the help of Intel extension for PyTorch and OpenVINO toolkit.
For more information go to:
basic.ai
xtreme1.io
Davit Buniatyan, Activeloop CEO, joins host Jake Smith on the latest episode of Conversations in the Cloud to discuss optimizing data lakes for creating deep learning-based products. Deep Lake allows storing complex data in AI-native format and streaming it over the network to Tensor Query Language, in-browser visualization engine, and deep learning frameworks without sacrificing GPU utilization. A member of the Intel Disruptor program, Activeloop partners with Intel to deliver Deep Lake on Intel® Xeon Scalable Processors and make Deep Lake more performant.
Learn more about Deep Lake at:
activeloop.ai
Research Links:
Deep Lake Whitepaper:
deeplake.ai/whitepaper
Deep Lake Academic Paper:
arxiv.org/pdf/2209.10785.pdf
Deep Lake GitHub Repository:
github.com/activeloopai/deeplake
Deep Lake Datasets:
datasets.activeloop.ai/docs/ml/datasets/
Joining Jake on the podcast today is Kasia Borowska, Co-Founder and Managing Director at Brainpool AI. The duo discuss the most popular applications of AI in business, how they benefit, and the best ways to start implementing solutions.
Brainpool AI is an Artificial Intelligence services company that connects a global network of over 600 AI and Machine Learning experts with corporate partners. Intelligent automation helps their clients grow efficiently, reducing operational costs and overhead. The resultant higher quality products and services greatly benefit their customers’ clients.
Libraries like Intel OpenVino help leverage existing models in creating solutions for business partners. Borowska finds most customers would like to avoid “reinventing the wheel” when it comes to onboarding new AI solutions.
Check out their website for more information at brainpool.ai .
AI is the new hot thing in business. Everyone wants to talk about how they are harnessing AI to make their business better. However this is not a trivial process, and maybe companies are left wondering what went wrong. Aible is a company devoted to providing business impact in less than 30 days.
We talk to Arijit Sengupta, the CEO of Aible, about how Aible is able to make an impact quickly. He talks about how Aible can transform an AI solution into a business solution, using high schoolers and Aible versus data scientists to prove the point. We also discuss bias in AI, the future of AI, and how AI has the power to transform how we work and live.
Learn more:
Aible
aible.com
Aible/Intel blog
intel.com/content/www/us/en/developer/articles/technical/30-days-to-ai-value-intel-aible-solution.html#gs.krmfw7
Intel/Aible Performance Benchmark and Case Studies Report
enaible.aible.com/hubfs/Intel_Aible_Benchmark.pdf
Case Study Videos: How to guarantee impact from AI in 30 days
aible.wistia.com/medias/2dddd6pr8i
AI is a Waste of Money
aible.com/ai-book
Intel AI Analytics Toolkit
intel.com/content/www/us/en/developer/tools/oneapi/ai-analytics-toolkit.html
Intel Distribution of OpenVINO™ Toolkit
intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html
oneAPI
oneapi.io
intel.com/content/www/us/en/developer/tools/oneapi/overview.html
Guests:
Arijit Sengupta – Aible CEO
Karl-Heinz Hoffmann, VP of Technology Ecosystem at SingleStore, joins host Jake Smith in a conversation about how SingleStore’s database technology (SingleStoreDB) unifies transactions and analytics to power real-time business decision-making. Karl-Heinz talks about modern business applications where companies take advantage of SingleStoreDB to bring real-time analytics and data feeds together, driving business impacts. Furthermore, Karl-Heinz shares his view of the future database structure moving towards an architecture that consolidates transactions and analytics to accelerate real-time business insights.
For more information, visit:
singlestore.com
Follow Jake on Twitter at:
twitter.com/jakesmithintel
As AI becomes more prevelent in society, one of the biggest questions is how can we take AI and harness it for good? One area that is extremely active is healthcare. AI is being explored across a variety of disciplines in the medical field.
One way to use AI in healthcare is to make doctors more efficient, and that is precisely what Chest-rAi aims to do. Learn a little bit about how AI can be harnessed to make it easier for doctors to be more efficient and help more patients through use of Chest-rAi.
Learn more:
LTTS Chest-rAi and Intel AI Analytics and OpenVINO Toolkits blog
intel.com/content/www/us/en/developer/articles/technical/ltts-chest-rai-and-intel-tools-redefine-radiology.html
Chest-rAi
ltts.com/solutions/healthcare/AI-radiography/chest-rAi
Intel AI Analytics Toolkit
intel.com/content/www/us/en/developer/tools/oneapi/ai-analytics-toolkit.html
Intel Distribution of OpenVINO™ Toolkit
intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html
oneAPI
oneapi.io
intel.com/content/www/us/en/developer/tools/oneapi/overview.html
The accelerator landscape has been rapidly changing over the past decade, and as super computers come online, they face the challenge of supporting the latest and greatest accelerators. Through use of C++. Kokkos and SYCL, the engineers working on the Aurora project at Argonne National Laboratory are demonstrating how to enable workloads that are performant now, while continuing to keep an eye on the future.
Guests:
Nevin Liber – Computer Scientist @ Argonne Leadership Computing Facility
alcf.anl.gov/about/people/nevin-liber
James Reinders – Technical Evangelist @ Intel
linkedin.com/in/jamesreinders
Learn more:
See what next-generation scientific problems are being slated to run on Aurora
intel.com/content/www/us/en/customer-spotlight/stories/argonne-aurora-customer-story.html
Argonne Leadership Computing Facility and Aurora
alcf.anl.gov
alcf.anl.gov/aurora
SYCL Tech
sycl.tech
oneAPI
oneapi.io
intel.com/content/www/us/en/developer/tools/oneapi/overview.html
Kokkos
github.com/kokkos/kokkos
Today, Codeplay Software announces expanding oneAPI for Nvidia and AMD GPUs, making multiarchitecture, multivendor programming much easier. This includes new plugins: oneAPI for Nvidia GPUs and oneAPI for AMD GPUs (beta).
Software developers are increasingly looking to move away from proprietary interfaces and use open standards that are defined by the industry. This can allow them to target a broad set of platforms and architectures. oneAPI aims to bring this to reality by supporting the widest set of processors and accelerators. As a cross-industry initiative, oneAPI offers an open, standards-based, multiarchitecture programming model and specification.
Having official plugins for Nvidia and AMD platforms is a major milestone for the oneAPI open community. The oneAPI Nvidia and AMD GPU plugins seamlessly work with the Intel oneAPI DPC++/C++ Compiler 2023 and many popular libraries, bringing open, standards-based programming to a range of processors from multiple hardware vendors. The oneAPI for Nvidia GPUs and oneAPI for AMD GPUs packages are available to download for free on the Codeplay website.
Learn more:
Intel oneAPI toolkits
intel.com/content/www/us/en/developer/tools/oneapi/toolkits.html
Codeplay
developer.codeplay.com/home/
oneAPI for NVIDIA GPUs
developer.codeplay.com/products/oneapi/nvidia/home/
oneAPI for AMD GPUs (beta)
developer.codeplay.com/products/oneapi/amd/home/
James’ blog on the Intel oneAPI 2023 Toolkit release
intel.com/content/www/us/en/developer/articles/news/oneapi-2023.html
Codeplay blog on the oneAPI for NVIDIA and AMD plugins
codeplay.com/portal/blogs/2022/12/16/bringing-nvidia-and-amd-support-to-oneapi.html
Guests:
Gordon Brown – Codeplay oneAPI Product Manager
James Reinders – Intel Evangelist
ChatGPT, DALL-E, Stable Diffusion and other generative AI have rapidly captivated the public. They provide new, easy ways, to create new content based on AI models that have been trained on large, public data sets. How does this technology work? What does it mean for society? In this podcast we discuss the technology behind generative AI, some of the potential legal and societal issues, and what the pros and cons of generative AI are.
For more information see:
Attention is All You Need
arxiv.org/abs/1706.03762
Copilot
github.com/features/copilot
ChatGPT
openai.com/blog/chatgpt
Stable Diffusion
stability.ai/blog/stable-diffusion-public-release
Midjourney
midjourney.com
openVINO
intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html
Intel Extension for PyTorch
intel.com/content/www/us/en/developer/tools/oneapi/extension-for-pytorch.html
oneAPI
intel.com/content/www/us/en/developer/tools/oneapi/overview.html
Tim Davis @ Texas A&M Github Copilot Tweet
twitter.com/DocSparse/status/1581461734665367554
ChatGPT Tech Radar Article
techradar.com/news/i-asked-chatgpt-to-write-about-itself-in-my-style-so-i-didnt-have-to
Guests
Ezequiel Lanza – Open Source, AI Evangelist @ Intel
Benjamin Consolvo – AI Community Manager @ Intel
IT Best Practices: Intel IT delivers improved automation, reliability, scalability, security and resource efficiency to Intel’s factory floor by deploying Cisco Application Centric Infrastructure (ACI) technology.
Over the last few years, Intel IT has transformed Intel’s factory data centers using software-defined networking (SDN), leaf/spine topologies and other modernizations. This success has inspired us to apply the same constructs to the factory floor network, which connects and runs the semiconductor tools that produce Intel’s silicon products.
Deploying Cisco Application Centric Infrastructure (ACI) switches powered by the Intel Xeon D-1500 and D-1600 processor families has helped enable us to solve some of the technical challenges associated with the classic factory floor network. ACI and SDN bring a wide range of quantifiable benefits, including the following:
• Completed new factory network builds with 85% less headcount and weeks faster through the use of automated scripts.
• Increased efficiency through the use of open-source and vendor-created automation playbooks.
• Implemented a resilient zero-downtime architecture.
• 100x times more efficient on-switch memory utilization for security implementation, compared to the classic network.
• Factory reliability, security, long life and high performance enhanced by Intel Xeon systems on a chip (SoCs).
Traditionally, ACI is used primarily in data centers. We have proven that ACI can meet factory floor requirements and is now used as the plan of record (PoR) for all new Intel factories. We are gradually migrating existing factories to the new network design and anticipate broadening our use of automation through ACI, further enhancing Intel factory efficiency and reliability. We hope that the rigorous testing and validation process that we have established can help other manufacturers transform their own factories using Cisco ACI.
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IT Best Practices: As Intel’s business grows, demand for data center network capacity has increased by more than 25% annually. Additionally, business pressures require new capacity to be brought into production within 24 hours. As far back as 2014, we recognized the potential of software-defined networking (SDN) to help meet these challenges. After evaluating SN […]
IT Best Practices: Large-scale, Agile transformations are extremely challenging for digital enterprises. Every organization’s path is unique and more often than not, failure is part of the process. Intel IT’s Agile journey is no different-attimes oscillating between challenging to downright discouraging over the course of a decade-before finally turning the corner and delivering sustained improvements […]
IT Best Practices: Master data is defined by Garner as “the consistent and uniform set of identifiers and extended attributes that describes the core entities of the enterprise.” Intel uses vast amounts of master data every day for many reasons, spanning transactions, reporting and advanced analytics. But often, Intel’s master data exists in silos, presenting […]
In this Intel Conversations in the Cloud audio podcast: Stephen Gold, CMO of SparkCognition, joins host Jake Smith to discuss SparkCognition’s vision of delivering the best AI solutions to address the critical challenges facing organizations across industries around predictive maintenance, assets management, cost efficiency, worker safety and cybersecurity. He discusses how SparkCognition is leveraging its […]
James Cho, VP of Business Development at ThunderSoft, joins host Jake Smith to discuss how Cloud and IoT accelerate digital transformation everywhere – consumer, industrial, automotive, healthcare, government, education – with almost unlimited computing power and connecting every intelligent device to the network. James talks about ThunderSoft’s long-term partnership with Intel in engineering collaboration and […]
Ever since its introduction in 2014, SYCL has grown in popularity and adoption. It is a royalty-free, cross-platform abstraction layer that enables code for heterogeneous processors, written in a “single-source” style using C++ standards. The flexibility to deploy across multiple platforms, reuse code helps enable advanced hardware features that can be used by developers. This […]
Daniel Chang, CEO of ENERZAi, joins host Jake Smith to discuss ENERZAi’s vision of delivering the best AI experience on everything for everyone, and how they are doing this by overcoming the constraints that edge devices have through AI models. He highlights how ENERZAi’s Automated Model Compression Optimization Toolkit enables AI models to maintain high […]
In this Intel Conversations in the Cloud audio podcast: Jayachandran Ramachandran, Senior Vice President of AI Labs at Course 5 Intelligence, joins host Jake Smith to discuss the Course5 Intelligence Discovery AI augmented analytics platform. Jay highlights how Discovery allows enterprises to achieve real-time access to conversational insights and cognitive answers from their data. He […]
In this Intel Conversations in the Cloud audio podcast: Mauro Bennici, Co-Founder and CTO of You Are My Guide joins host Jake Smith to discuss Ghostwriter AI customer analysis and forecasting. Mauro talks about the journey of You Are My Guide, starting out using natural language processing (NLP) to help provide tourism services and evolving […]
In this Intel Conversations in the Cloud audio podcast: Nelson Lee, Head of Partnerships at Synergies joins host Jake Smith to discuss the importance of data science and AI in the manufacturing industry. Nelson talks about how Synergies works to close the gap for manufacturing organizations using outdated data and limited data science expertise in […]
In this Intel Conversations in the Cloud audio podcast: Mateus Dalponte from Axur joins host Jake Smith to talk about the importance of digital risk protection and how to mitigate the evolving world of digital fraud. Mateus discusses how Axur’s Fake Social Removal and Digital Risk Protection platforms can help protect a company’s reputation by […]
The rapid advancement in machine learning and data science fields have aided data scientists in arriving at meaningful insights. However, it’s not been an easy task to optimize machine learning infrastructures to allow data scientists to focus on their core expertise. Today, we will discuss how certain tools and hardware optimizations are not only saving […]
In this Intel Conversations in the Cloud audio podcast: Markus Lippus from MindTitan joins host Jake Smith to talk about how AI is innovating many industries across the world including customer service. Markus discusses how his background in biology shaped his passion for machine learning (ML) and helped drive the creation of MindTitan. He highlights […]
Intel has long been at the forefront of radical innovations that have revolutionized the way we live and work – beginning with the development of the first microprocessor, transforming the world as we knew it by making a new era of computing possible. Over the next 50+ years, Intel has continued to transform industries, driving […]
In this third episode of Intel’s Path to Cloud series, Phil Vokins, Cloud Services Director with Intel Americas is joined by experts Chandra Chitneni, Networks Principal Engineer and Sridhar Mahankali, Networks Security Principal Engineer to discuss the differences between and considerations for adopting private vs. hybrid vs. multi-cloud options. In this video, the team demystifies […]
In the gaming world, artificial intelligence (AI) is proving to be a game-changer. It has played a pivotal role in enhancing game-player’s experiences. Amongst other capabilities, Artificial intelligence is used to generate responsive, adaptive, or intelligent behaviors primarily in non-player characters (NPCs) similar to human-like intelligence. With the right tools and access to advanced technologies, developers […]
IT Best Practices: Intel IT operates 56 data center modules at 16 data center sites. These sites have a total capacity of 103 megawatts, housing more than 360,000 servers that underpin the computing needs of 116,000 employees. Intel IT has four main segments of operation: Design, Office, Manufacturing and Enterprise. This paper focuses on only […]
IT Best Practices: Intel employees expect easy-to-use, seamless and effective printing. Intel IT has the responsibility to find the most cost-effective, secure and technically viable solution. Marrying these two goals is an art, and Intel IT’s best practices can demystify this process, provide insights about the selection of devices, help evaluate different modes of ownership […]
Scientific visualization (SciVis) is a process of representing raw scientific data as images, which helps scientists improve their interpretations of large data sets. More and more, advanced visualization tools are becoming an integral part of a researcher’s analysis toolkit; and when in the hands of scientists and researchers, they can visualize, interact with, and get […]
Intel IT is using artificial intelligence (AI) to accelerate yield ramp by clustering and classifying manufacturing failure patterns. Expert yield analysis engineers have always performed end-of-line yield analysis at Intel’s silicon wafer factories (fabs). But as the number of products and volume grow in Intel’s manufacturing environment, a manual detection approach to yield analysis poses […]
In this Intel Conversations in the Cloud audio podcast: Atif Kureishy, founder and CEO of Vistry, joins host Jake Smith to talk about deploying restaurant automation technology improve quality of service. Atif goes into detail about Vistry’s Discrn platform, why the company extended Intel’s edge insight for industrial software architecture to optimize workloads, and how […]
IT Best Practices: Intel IT tests Wi-Fi 6 in an actual office environment during COVID lockdown, proving enhanced performance under challenging, real-world scenarios and delivering important insights for successful deployments. Wi-Fi 6 may be the ideal gateway toward realization of an enterprise-wide wireless infrastructure. With many of our office spaces temporarily vacated due to the […]
In this Intel Conversations in the Cloud audio podcast: Nico Holmberg from Silo AI joins host Jake Smith to talk about building tailored AI solutions for a variety of industries. Nico goes into detail about how Intel and Silo AI are working together on real-time computer vision for quality control in industrial manufacturing. Nico also […]
IT Best Practices: Intel IT runs Intel data center services like a factory, affecting change in a disciplined manner and applying breakthrough technologies, solutions and processes. This enables us to optimally meet Intel’s business requirements while providing our internal customers with effective data center infrastructure capabilities and innovative business services. Building on previous investments and […]
In this Intel Conversations in the Cloud audio podcast: Erik Landolsi, CTO of Irisity, joins host Jake Smith to talk about using AI for video analytics. Erik talks about the challenges of connecting and processing immense amounts of video data, why Irisity anonymizes certain details based on where cameras are installed, and what the recent […]
In this Intel Conversations in the Cloud audio podcast: Helen Kim from MaxLinear (previously NanoSemi, Inc.) joins host Jake Smith to talk about reducing compute resources to achieve target accuracies in deep neural networks. Helen goes into detail about MaxLinear’s Augmented Neuron technology, which mathematically augments neural networks to reduce memory usage and latency. Jake […]
In this Intel Conversations in the Cloud audio podcast: S. Venkat from MindTree joins host Jake Smith to talk about digital customer service, specifically the company’s MindTree Cognitive Contact Center, which combines existing call center infrastructure with new technology. The two discuss how MindTree worked with the Intel Distribution of Python along with SigOpt (a […]
In this Intel Conversations in the Cloud audio podcast: Arijit Sengupta, founder and CEO of Aible, joins host Jake Smith to talk about the difference between the promise of AI and actual results. Arijit talks about helping develop BeyondCore, which was acquired by Salesforce, his book AI is a Waste of Money, the current unsustainable […]
In this Intel Conversations in the Cloud audio podcast: Nitin Somalaraju from Tech Mahindra joins host Jake Smith to talk about the company’s Speech Analytics platform named Sayint, which uses cutting-edge artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) to uncover meaningful insights from customer conversations. Nitin talks about why regional localization […]
In this Intel Conversations in the Cloud audio podcast: James Carnall from ZeroFOX joins host Jake Smith to talk about AI-powered digital risk protection across the internet, including text, images and video, to identify threats ranging from deep fakes and fraud to potential cyberattacks. James explains why the ZeroFOX team worked directly with Intel for […]
In this Intel Conversations in the Cloud audio podcast: Jeff Boudier from Hugging Face joins host Jake Smith to talk about the company’s open source machine learning transformers (also known as “pytorch-pretrained-bert”) library. Jeff talks about how transformers have accelerated the proliferation of natural language process (NLP) models and their future use in objection detection […]
Adoption of Python has been enormous over the last decade. Why? It’s easy to use, accessible, versatile and can be used for AI, machine learning, data analytics, data visualization, and all types of science. Tune into how 3 experts are involved in building common standards for Python data APIs that can help users use a […]
Helen Wang from Magic Data joins host Jake Smith to talk about the company’s work in automatic speech recognition (ASR), text-to-speech (TTS), and natural language processing (NLP). Helen discusses the scalable capabilities Magic Data offers customers worldwide and goes into detail about how Intel engineers worked with Magic Data developers to optimize OpenVINO (often associated […]
Sanjay Prasad from Metaswitch (a Microsoft company) joins host Jake Smith to talk about why Metaswitch collaborates with Intel to improve network function virtualization, media transcoding, throughput and more. Sanjay talks about some of the performance gains his team has seen over the last ten years from gen-over-gen processor advancement and discusses the future communication […]
IT Best Practices: In this second video of the Path to Cloud series Phil Vokins, Cloud Services Director, Intel Americas, is joined by Shachaf Levi, Intel IT Cloud Security Architect and Sridhar Mahankali, Intel IT Principal Engineer, Network Security where they shed light on the biggest concern for companies moving to the cloud – security. […]
In this Intel Conversations in the Cloud audio podcast: Marcin Nicpon from TietoEVRY joins host Jake Smith to talk about the latest developments in edge computing, the cloudification of services in a variety of the industries (telco, automotive, smart cities or industrial) and the benefits of open source edge solutions such as the TietoEVRY scalable […]
In this Intel Conversations in the Cloud audio podcast: Soundar Rajan from Perpetuuiti Technosoft Services joins host Jake Smith to talk about software automation solutions for IT and business operations. Soundar goes into detail about Robotic Process Automation (RPA) with the company’s Av3ar platform—a human-like AI+RPA platform of intelligent BoTs (or iBoTs) which can absorb, […]
IT Best Practices: Intel IT has a large AI group that works across Intel to transform critical work, optimize processes, eliminate scalability bottlenecks and generate significant business value (more than USD 1.5B return on investment in 2020). Our efforts unlock the power of data to make Intel’s business processes smarter, faster and more innovative, from […]
In this Intel Conversations in the Cloud audio podcast: Neil Coleman from Amdocs joins host Jake Smith to talk about why it’s critical for communication service providers to move to Open Radio Access Networks (Open RAN). Neil addresses some of the adoption concerns and why companies are looking to prioritize products over projects. He goes […]
IT Best Practices: Intel’s innovative disaggregated server architecture and data center facilities design and operation reduce e-waste and increase energy efficiency—helping to protect the environment and produce significant cost savings. Do what’s right for the business and what’s right for the environment. That is the dual goal behind many of Intel IT’s data center transformation […]
In this Intel Conversations in the Cloud audio podcast: ZeroDown Software’s Alan Gin and Keith Fukuhara join host Jake Smith to talk about the evolution of recovery time over the last twenty years. The three discuss how several advancements culminated in the creation of the Ultra High Availability solution, eliminating downtime and data loss. Alan […]
In this Intel Conversations in the Cloud audio podcast: Paul Magdalena, Didier Marcon, and Pascale Martinez from Atos along with Goutam Debnath from Numascale join host Jake Smith to talk about their recently published white paper “Rise of Volumetric Data and Scale-Up Enterprise Computing.” The guests and Jake discuss the rise of volumetric data and […]
In this Intel Conversations in the Cloud audio podcast: BT Sport’s Jamie Hindhaugh and Tiledmedia’s Rob Koenen join host Jake Smith to talk about delivering 8K virtual reality (VR) with 360° views to sports fans on mobile devices. Jamie and Rob go into detail about the bit rates, hardware decoders, software, compute power and other […]
In this Intel Conversations in the Cloud audio podcast: Taboola’s Ariel Pisetzky joins host Jake Smith to talk about using artificial intelligence (AI) for personalized content recommendations at massive scale, reaching up to 4 billion web pages a day. Ariel discusses why Taboola runs their services on their own on-prem infrastructure of over 10,000 servers […]
Nakul Arora from EdgeVerve (a wholly-owned subsidiary of Infosys Ltd.) joins host Jake Smith to talk about the role AI is playing in transforming the way enterprises unlock business insights from their corpus of documents. Nakul discusses the critical role that a symphony between the software and hardware layers plays in order to deliver an […]
Ginkgo is a production-ready, sparse linear algebra library used for HPC on GPU architectures. It’s now using oneAPI cross-architecture programming to support its foundational design with a high level of performance portability, and focus on software sustainability. ExpertsHartwig Anzt at Karlsruhe Institute of Technology (KIT) and Univ. of Tennessee, and Terry Cojean of KIT provide […]
In this Intel Conversations in the Cloud audio podcast: SigOpt cofounder and CEO Scott Clark joins host Jake Smith to discuss his company’s recent acquisition by Intel, how this acquisition accelerates their ability to meet their mission to empower AI engineers, and the latest innovation in the SigOpt intelligent experimentation platform that enables faster design, […]
Scientific visualization (SciVis) is providing new insights in health care and many other research areas in ways that we couldn’t imagine a decade ago. It’s an evolving field where extracting visualizations from very large data sets can improve analysis, diagnosis and patient outcomes while reducing costs – or even uncover hidden discrimination. Hear from Teodora […]
David Talby, CTO of John Snow Labs, joins host Jake Smith to talk about how natural language processing (NLP) is used in health care. David discusses how NLP is used for clinical decision support and trial acceleration. David goes into detail about how the company was able to increase performance using Intel processors and speaks […]
SHI’s Tim Henning joins host Jake Smith to talk about how IT leaders were able quickly deploy virtual desktop infrastructure (VDI) via public cloud offerings to preserve business continuity during the COVID-19 pandemic. Tim explains why Stratascale introduced the Intel Select Solution for VDI to address enterprise needs for scalability and security and goes into […]
IT Best Practices: In several proofs of concept, fuel cell technology has proved to be a reliable, stable, efficient and sustainable source of electricity for Intel’s data centers. Intel IT joined forces with Intel’s Corporate Services and Global Supply Chain groups to enable fuel cells to meet Intel’s redundancy and capacity expectations. For some of […]
Heterogeneous programming is challenging for developers because it’s been difficult to code or forces compromises in performance. oneAPI is working to break that mold. Many HPC research centers, enterprises and developers are now adopting oneAPI. Hear from experts at Zuse Institute Berlin (ZIB) on their oneAPI story: “We want to have most code portability across […]
IT Best Practices: Intel IT Principal Engineers Craig Chvatal and Subbarao Mantha talk to Phil Vokins, Cloud Services Director at Intel Americas, outlining Intel’s best practices businesses should consider when moving to the cloud. In this first edition of our new series, Phil and guests provide practical advice for companies of all sizes that are […]
Intel’s Tom Garrison and Camille Morhardt join host Jake Smith in a special episode to talk about today’s security landscape. The three discuss Intel’s approach to security from hardware to software, finding vulnerabilities, and engineering mitigations. They also talk about emerging areas, such as AI, blockchain, IoT and edge devices, and more. Tom and Camille […]
Just as a carpenter needs tools to build a house, a developer needs tools to write code and programs. This often means relying on other coders to develop tools and building on that foundation. Xiaozhu Meng, a research scientist at Rice University shares the progress of the HPC Toolkit Project. It’s focused on performance tuning […]
Ahana cofounder and CEO Steven Mih joins host Jake Smith to talk about why he started Ahana, which centers around open source data tools. Steven discusses how Presto—an open source distributed SQL query engine—was originally developed by Facebook and then donated to the Linux Foundation. Jake and Steven note how only 10-12% of data has […]
Bioinformatics is advancing health-care research by using computation to understand biological data. It’s useful for large complex data sets used in determining gene and protein functions, establishing evolutionary relationships, and predicting 3D shapes of proteins. Two experts, Sergio Santander-Jimenez at University of Extremadura, and Ricardo Nobre of INESC-ID, are combining the power of modern hardware […]
In this Intel Conversations in the Cloud audio podcast: Sharath Puranik, Director of Product & Engineering at Stylumia, talks with host Jake Smith about how Stylumia leverages machine learning to improve product assortments, optimize inventory management, and offer a consumer-driven forecast to reduce waste in the fashion and lifestyle industry. Sharath explains why Stylumia became […]
The next generation of scientists and coders need more than a love of science and technology. The use of supercomputers in digital design to simulation pose opportunities solving the world’s biggest questions. Katherine Riley, director of science for Argonne’s Leadership Computing Facility, and Joe Curley, Intel senior director of oneAPI products, solutions and ecosystem, share […]
Fujitsu’s Marcus Schneider talks with host Jake Smith about working with enterprises on public, private, and hybrid cloud models depending on the business needs. Marcus talks about PRIMEFLEX for Nutanix Enterprise Cloud—a fully validated, pre-tested and certified solution that is simple to deploy for SAP HANA workloads and virtual desktop infrastructure (VDI). Marcus discusses how […]
In this Intel Conversations in the Cloud audio podcast: Subtle Medical’s Ajit Shankaranarayanan joins host Jake Smith to talk about using deep learning to improve positron emission tomography (PET) scans. Ajit explains how the company’s SubtlePET software allows hospitals and imaging centers to improve image quality on their accelerated scan protocols, which centers can choose […]
In this Intel Conversations in the Cloud audio podcast: Accubits’s Shameer Thaha joins host Jake Smith to talk about machine vision and predictive analytics. Shameer explains the use cases for the company’s Emotyx platform, such as real-time crowd analytics, people detection, counting, tracking, emotion detection, health care and more. Shameer goes into detail about the […]
INESC-ID researchers Aleksandar Ilic and Diogo Augusto Pereira Marques reveal their journey in extending Roofline Modeling for use in application optimization, known as the Cache-aware Roofline Model, or CARM, which has been incorporated into the Intel® Advisor tool and recognized with an award from the HiPEAC community in Europe. They are now taking this model […]
Despite its tough challenges, our global pandemic has opened the door to big opportunities, ushering in incredible innovation in visual effects and the discovery of amazing talent regardless of location. Real-time technology and tools, machine learning and artificial intelligence, and the rise of volume rendering, in conjunction with geometric rendering, are transforming storytelling. Collaboration on […]
In this Intel Conversations in the Cloud audio podcast: TietoEVRY’s Mats Eriksson talks with host Jake Smith about the transformation of the mobile industry with Open RAN (Radio Access Networks) technology that aims to standardize networking industry interfaces and support interoperation between different vendors’ equipment. Mats discusses the services TietoEVRY provides, the FlexRAN offerings with […]
In this Intel Conversations in the Cloud audio podcast: Partha Seetala, founder and CEO of Robin.io, and Caroline Chan, General Manager of 5G Infrastructure Division at Intel, talk with host Jake Smith about the deployment and life cycle management of network-intensive applications. Partha talks about how Robin.io’s background with cloud-native enterprise use cases translates to […]
In this Intel Conversations in the Cloud audio podcast: Shamik Mishra, CTO of Connectivity at Capgemini Engineering, talks with host Jake Smith about why edge computing and 5G connectivity is creating a convergence that will enable industrial automation, AI and analytics, smart city infrastructure, and a number of enterprise use cases. Shamik explains why edge […]
In this Intel Conversations in the Cloud audio podcast: Intel’s Keate Despain joins host Jake Smith to talk about the company’s vision for network transformation and ongoing changes in the larger communications industry. Keate talks in depth about the Intel Network Builders program that is shaping and accelerating 5G network transformation, AI, and the rise […]
Dr. Ruymán Reyes Castro, CTO at Codeplay Software, and Kevin Harms, Senior Software Developer at Argonne Leadership Computing Facility, talk about their collaboration with the National Energy for Research Scientific Computing Center (NERSC) at Lawrence Berkeley Lab to enhance the LLVM-based DPC++ open source compiler, based on the SYCL standard, to support Nvidia GPUs. They […]
Epistasis detection holds great promise for the prevention and treatment of diseases such as Alzheimer’s, diabetes and breast cancer. INESC-ID researchers Aleksander Ilic and Rafael Torres Campos are collaborating with other researchers and developers across Portugal through the HiPErBio Project to advance the precision and efficiency of epistasis detection, using oneAPI DevCloud, Intel CPUs and […]
In this Intel Conversations in the Cloud audio podcast: MaxQ AI’s Chris Schnee joins host Jake Smith to talk about how deep learning and machine vision is used in intelligent diagnostic decision solutions that enable quicker and more accurate assessment of stroke and head trauma. Chris discusses working with Intel on optimizations to cut run […]
In this Intel Conversations in the Cloud audio podcast: Hanan Youssef, Senior Product Leader at Google Cloud Platform (GCP), joins host Jake Smith to talk about how General Purpose N2 virtual machine (VM) customers will be able to automatically upgrade to the 3rd Generation Intel Xeon Scalable processors and immediately see the benefits for their […]
In this Intel Conversations in the Cloud audio podcast: Cisco’s Brian Everitt and Cale Hilts join host Jake Smith to talk about why Cisco partnered with Intel to certify Cisco HyperFlex All Flash and All NVMe models as Intel Select Solutions, which can power any application from the data center to the edge. Brian and […]
In this Intel Conversations in the Cloud audio podcast: Intel’s Matt Langman and Irma Esmer join host Jake Smith to talk about the launch of 3rd Gen Intel Xeon Scalable processors, codename: Ice Lake. Matt talks about gen over gen performance improvements, increased memory capabilities, and advanced security features. Irma talks about the new core […]
“It’s really exciting to see all the sorts of things that are becoming smart in our daily lives,” remarks John Melonakos, CEO & co-founder of ArrayFire. In this episode, John talks about the challenges he sees as heavy computational workloads move closer to the edge, and how important data parallelism and open standards are in […]
In this Intel Conversations in the Cloud audio podcast: Intel’s Robert Blum joins host Jake Smith to talk about Intel’s broader connectivity group and how the company facilitates efficiently moving data between servers and across the data center with a wide range of products, including silicon photonics, Ethernet switches, accelerators and more. Robert discusses the […]
In this Intel Conversations in the Cloud audio podcast: Lenovo’s Todd Myrick joins host Jake Smith to talk about the history of Lenovo’s evolution, the company’s PC and server business, and why working with the Intel Select Solutions program helps solve customer problems. Todd talks about the future of the Intel Select Solutions program, including […]
In this Intel Conversations in the Cloud audio podcast: Nikhil Deshpande, Director of HPC and AI Innovations at Intel, and Sid Kashyap, Deep Learning R&D Engineer at Intel, join host Jake Smith to talk about neural machine translation (NMT). The three talk about the role of machine translation in business, why certain sectors like health […]
We explore the critical role of visualization and visual analytics in disaster management and medical research with Paul Navrátil, Director of Visualization at the Texas Advanced Computing Center (TACC), and Jim Jeffers, Sr. Principal Engineer and Sr. Director of Advanced Rendering and Visualization at Intel. Paul reveals TACC’s approach to recent weather crises, as well […]
In this Intel Conversations in the Cloud audio podcast: Sebastian Borchers, cofounder of Wahtari, joins host Jake Smith to talk about using artificial intelligence (AI), specifically neural networks, for image recognition and inferencing with edge computing. The two talk about how Wahtari integrates the Intel Movidius Myriad X Vision Processing Unit (VPU) into camera hardware, […]
In this Intel Conversations in the Cloud audio podcast: Jim Hassman, Group Vice President North America West Region at C3.ai, joins host Jake Smith to talk about using artificial intelligence (AI) and data analytics to find meaningful and actionable insights for digital transformation in the enterprise. The two talk about how C3.ai’s suite works to […]
As one of the world’s largest semiconductor chip makers, Intel’s vision is to be the performance leader that unleashes the potential of data. In this era of rapid change and distributed intelligence, we see artificial intelligence (AI), 5G network transformation and the intelligent, autonomous edge as the fastest growing opportunities for Intel and our customers. […]
In this second episode about GROMACS, one of the world’s most widely used open source molecular dynamics (MD) applications, we explore the quest to simplify portable, performant programming with Erik Lindahl, Biophysics Professor at Stockholm University & KTH Royal Institute of Technology, and Roland Schulz, Parallel Software Engineer at Intel. Andrey Alekseenko, Postdoctoral Fellow at […]
In this Intel Conversations in the Cloud audio podcast: Spence Green, co-founder and CEO of Lilt, joins host Jake Smith to talk about using artificial intelligence (AI) for enterprise language translation. Spence talks about his background at Google Translate, giving human translators the tools they need to scale at the enterprise level, and why Lilt […]
In this episode of Intel on AI host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times Best Selling Author, passes the hosting mantle to Amir Khosrowshahi, Intel Vice President. The two talk about lessons learned from guests across Season 2 of the podcast and what the AI of tomorrow might be. Abigail […]
In this Intel Conversations in the Cloud audio podcast: Michal Lukac, co-founder and machine learning engineer at Ximilar, joins host Jake Smith to talk about how the artificial intelligence (AI) startup uses Intel Xeon Scalable processors and the Intel OpenVINO toolkit to increase performance and lower latency for the company’s computer vision platform. The two […]
IT Best Practices: Best-in-class organizations continuously strive to innovate and improve IT assets. This transformation is critical for business organizations to perform operations without disruption. IT transformation also enhances business units’ ability to meet objectives through deeper IT asset insights and improved total cost of ownership (TCO), all while running leaner and more efficiently. Application […]
In this episode of Intel on AI guest US Congresswoman Robin Kelly talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about artificial intelligence (AI) and the United States government. Congresswoman Kelly talks about how she became involved in AI policy, introducing a bipartisan resolution to create a […]
In this Intel Conversations in the Cloud audio podcast: Ganesh Iyer, CTO of Knowledge Lens, joins host Jake Smith to talk about how Knowledge Lens improves inference time on Intel Xeon Scalable servers and uses Intel OpenVINO to reduce processor space consumption. Ganesh also goes into detail about the company’s iLens industrial IoT platform and […]
IT Best Practices: Intel IT has replaced many of our third-party security solutions with native cloud security controls. We made this significant change to our multicloud strategy because of three reasons: • Technology: Cloud service provider (CSP) integrated security controls have matured to the point where many of them meet our stringent security requirements. • […]
IT Best Practices: As businesses grow, meeting the needs of new markets, customers, and partners can be challenging. Sales and marketing organizations are constantly under pressure to effectively cover accounts and rapidly respond to customers’ changing needs while maintaining—or even reducing—operational costs. Intel’s Sales and Marketing Group faces similar challenges while growing in new markets […]
In this episode of Intel on AI guest Aviv Regev, Executive Vice President of Genentech Research and Early Development, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about biomedicine and artificial intelligence (AI). The two discuss Aviv’s work on circuitry in cells, the future of experimental biology, […]
In this Intel Conversations in the Cloud audio podcast: Ryan Champlain, Senior Director of Product Marketing at SAP, and Vishal Sanghvi, Global Director of SAP Marketing at Intel, joins host Jake Smith to talk about the future of Intel and SAP’s partnership that has lasted for over twenty-five years. The three talk about persistent memory […]
In this Intel Conversations in the Cloud audio podcast: Nir Shavit, co-founder of Neural Magic, joins host Jake Smith to talk about enabling convolutional neural networks to run on commodity CPUs. Nir speaks to how his background as a professor researching the connectivity maps of brain tissue and tracking neurons evolved into developing machine learning […]
In this Intel Conversations in the Cloud audio podcast: Vishal Rai, cofounder and CEO of Embold, joins host Jake Smith to talk about how AI software is changing the planet and why static code analysis is more important than ever before. The two talk about how quickly software development is evolving and what that means […]
Open standards underpin the future of heterogeneous programming, and as Intel Principal Engineer Jeff Hammond points out, SYCL has proven in many ways that “standards don’t cost you a thing and you get portability.” A modern C++ language, SYCL has demonstrated amazing growth and now boasts four implementations—ComputeCpp, triSYCL, hipSYCL and DPC++. hipSYCL Creator Aksel […]
In this Intel Conversations in the Cloud audio podcast: Anshuman Pandey, founder & CEO of NimbleBox, joins host Jake Smith to talk about the company’s one-stop-shop platform for AI developers. With an easy-to-use web app, developers can quickly deploy models in a cloud-based system and focus on their code. The two also talk about the […]
In this episode of Intel on AI guest Terah Lyons, Executive Director of Partnership on AI, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about her previous work as Policy Advisor to the United States Chief Technology Officer Megan Smith in President Barack Obama’s Office of Science […]
In this Intel Conversations in the Cloud audio podcast: Thevi Sundaralingam, who leads the Intel Edge Software Hub Product Management and Strategy team, joins host Jake Smith to talk about how Intel works with a broad number of IoT developers on application use cases for edge deployment by providing pre-configured software packages and hardware recommendations. […]
IT Best Practices: Intel IT is responsible for managing all of Intel’s endpoint devices—at 147 sites spread across 56 countries. Managing endpoints can be time-consuming and expensive, often requiring a technician to physically visit the devices to troubleshoot them. Examples of these devices include the following: The deployment of Intel Unite software to more than […]
Increased processing power, massive amounts of data, and the development of more advanced algorithms have brought deep learning to the forefront, and TensorFlow has emerged as one of the world’s most popular machine learning frameworks. Penporn Koanantakool, Google Senior Software Engineer, and Ramesh, Intel Principal Engineer, share how their teams are collaborating to optimize TensorFlow […]
In this episode of Intel on AI guest Colin Murdoch, Senior Business Director at DeepMind, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about text-to-speech system WaveNet, the recent breakthrough with AlphaFold, the potential for artificial intelligence to solve energy challenges, and how Google adopts cutting-edge research […]
In this episode of Intel on AI guest Alice Xiang, Head of Fairness, Transparency, and Accountability Research at the Partnership on AI, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about algorithmic fairness—the study of how algorithms might systemically perform better or worse for certain groups of […]
IT Best Practices: When the COVID-19 pandemic struck, it propelled Intel’s global workforce of over 100,000 employees, along with contingent workers and ecosystem partners, to begin working remotely practically overnight. Virtual private network (VPN) connections would be needed for all of these workers, but Intel’s global VPN capacity was a fraction of what would be […]
IT Best Practices: Intel IT is enabling business transformation on Intel campuses around the world by standardizing on Wi?Fi for wireless LAN (WLAN) access. Our exclusive use of a wireless infrastructure helps to improve employee mobility, job satisfaction, and productivity—as well as deliver network access in new construction faster and at lower cost. Today, about […]
Roland Mesters, founder of Nordigen, joins host Jake Smith to talk about how the fintech company provides transaction-based analytics for income verification and affordability checks by leveraging machine learning in open banking. The two talk about how open banking is changing the finance industry in Europe and around the world, the difficulties in managing unstructured […]
Randy Tucker, Lumen Edgevangelist, joins host Jake Smith to talk about edge computing, the history of telecommunications pioneering in Colorado, and the advancements in network infrastructure. Randy explains why milliseconds count when it comes to the edge and how working closely with Intel has improved performance across the globe. The two also talk about how […]
In this episode of Intel on AI guest Rana el Kaliouby, Ph.D., cofounder and CEO of Affectiva, and author of Girl Decoded: A Scientist’s Quest to Reclaim Our Humanity by Bringing Emotional Intelligence to Technology, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about emotional intelligence (EQ)—a […]
Andrew Lumsdaine, Chief Scientist at Northwest Institute for Advanced Computing, shares his journey in parallelism, from the HPC community’s early skepticism of and eventual move to C++ to build large systems, to his pursuit to develop a series of C++ libraries to strike at the contradiction between abstraction and performance, to today’s reality that parallelism […]
In this Intel Conversations in the Cloud audio podcast: Henry Tam, Senior Product Manager at F5, joins host Jake Smith to talk about the growing transition to virtualized environments, F5’s history in traffic management, the future of 5G and edge computing, and why the company is leveraging new solutions to offload DDoS mitigation from a virtual firewall to a high-performance FPGA developed with Intel.
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In this episode of Intel on AI guests Lama Nachman, Intel Fellow and Director of Anticipatory Computing Lab, and Hanlin Tang, Sr. Director of the Intel AI Lab, talk with host Abigail Hing Wen about the intersection of humans and AI.
The three discuss a wide range of topics, from keeping humans in the loop of AI systems to the ways that AI can augment human abilities. Lama talks about her work in building assistive computer systems for Prof. Stephen Hawking and British roboticist Dr. Peter Scott-Morgan. Hanlin reveals work on a DARPA program in collaboration with Brown University and Rhode Island Hospital that’s trying to restore the ability of patients with spinal cord injury to walk again.
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In this Intel Conversations in the Cloud audio podcast: Alok Mishra, founder of Wesense, joins host Jake Smith to talk about how the company, in partnership with Wipro, developed Clearhealth—a safety compliance product for COVID-19 in India that combines touch-free attendance, temperature checks, sanitization compliance, and mask protection compliance for offices and retail locations. The two talk about the importance of technology helping solve emerging problems and how Wesense improved inference time using Intel optimized TensorFlow, Intel Distribution of OpenVINO, and Intel Distribution for Python.
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In this Intel on AI podcast episode: guest Doug Roble, the senior director of software research and development at Digital Domain, joins hosts Abigail Hing Wen and Amir Khosrowshahi to talk about how Digital Domain creates virtual effects for blockbuster movies.
Doug, Abigail, and Amir discuss how Digital Domain developed virtual characters for Brad Pitt in The Curious Case of Benjamin Button and Josh Brolin in Avengers: Endgame, the technology and AI models that go into creating such complex visuals, and the virtual humans the company is working on today. To see the latest digital humans the company is developing, watch this YouTube video at: youtu.be/RKiGfGQxqaQs.
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Learn more about the future of AI at: intel.com/ai
In this Intel Conversations in the Cloud audio podcast: Michael Hall, director of technology and ecosystem enablement at Intel, joins host Jake Smith to talk how Intel works with partners to ensure the market is properly prepared for technology coming out three to five years into the future. The two talk about how the PCIe standard is evolving for lower-latency and all the compatibly and testing work that goes into next generation chips. Michael also talks about what changes he’s excited about in the industry.
Follow Jake on Twitter:
twitter.com/jakesmithintel
Who better to have a spicy discussion with about #OpenMP than Tim Mattson and Bronis de Supinski? These two have truly lived at the forefront of the amazing, decades-long OpenMP journey, from its inception to its preeminence as a foundational tool for HPC application programmers. Listen to what’s coming in 5.1 and beyond, how the C++ ecosystem is evolving, why Python in HPC, and have fun as these two razz each other.
Guests:
Bronis de Supinski, Chief Technology Officer, Livermore Computing, Lawrence Livermore National Lab; Chair, OpenMP Language Committee
Tim Mattson, Senior Principal Engineer, and Manager, Programming Systems Research Group, Intel
To learn more:
OpenMP.org
Intel oneAPI HPC Toolkit
oneAPI
In this episode of Intel on AI guest Yann LeCun, chief AI scientist at Facebook and professor at NYU, joins host Abigail Hing Wen to talk about the history and adoption of AI.
Considered one of the “godfathers of AI” and an ACM Turing Award Laureate, Yann has seen the ups and downs of AI for decades. Yann and Abigail talk about the origins of AI, how the ideas and advancements in technology proliferated, and what the future of AI holds.
Follow Yann on Twitter at: twitter.com/ylecun
Follow Abigail on Twitter at: twitter.com/abigailhingwen
Learn more about the future of AI at: intel.com/ai
Denisa Constantinescu, a PhD student in Mechatronics, and a researcher in the Computer Architecture Department at the University of Malaga, and Maura Tokay, a lead software programmer at Science Systems and Applications, Inc., and a computer scientist within the Department of Agriculture, share how their work is helping advance the fields of robotics, economics, manufacturing, agriculture and more, supported by oneAPI and the Intel DevCloud. They inspire us with glimpses of their journeys into tech, and what they’re looking forward to.
Guests:
Denisa Constantinescu, a PhD student in mechatronics and a researcher in the Computer Architecture Department at the University of Malaga
Maura Tokay, computer scientist and lead software programmer at Science Systems and Applications, Inc., and recent Master’s graduate at the University of Maryland Baltimore County (UMBC)
To learn more:
denisa-c.com
devmesh.intel.com/projects/predicting-corn-wheat-and-soybean-yield
oneapi.com/events/devcon2020
oneAPI
devcloud.intel.com/oneapi/get_started
IT Best Practices: Advanced cyber threats continue to increase in frequency and sophistication, threatening computing environments and impacting businesses’ ability to grow. More than ever, large enterprises must invest in effective information security, using technologies that improve detection and response times. At Intel, we are transforming from our legacy cybersecurity systems to a modern, scalable Cyber Intelligence Platform (CIP) based on Kafka and Splunk. In our 2019 paper, Transforming Intel’s Security Posture with Innovations in Data Intelligence, we discussed the data lake, monitoring, and security capabilities of Splunk. This paper describes the essential role Apache Kafka plays in our CIP and its key benefits.
Apache Kafka is the foundation of our CIP architecture. We achieve economies of scale as we acquire data once and consume it many times. Simplified connection of data sources helps reduce our technical debt, while filtering data helps reduce costs to downstream systems.
Intel vice president and Chief Information Security Officer, Brent Conran, explains, “Kafka helps us produce contextually rich data for both IT and our business units. Kafka also enables us to deploy more advanced techniques in-stream, such as machine-learning models that analyze data and produce new insights. This helps us reduce mean time to detect and respond; it also helps decrease the need for human touch. Kafka technology, combined with Confluent’s enterprise features and high-performance Intel architecture, support our mission to make it safe for Intel to go fast.”
IT Best Practices: Intel Manufacturing factories rely on advanced technology for smooth 24/7 operation. Each factory includes two data centers with hundreds of servers to manage materials, equipment automation, process control, inventory, analytics, and more.
Manufacturing IT recently built a separate and completely virtual integration environment for Intel’s Non-volatile Memory Solution Group (NSG) factory. This offered an opportunity to introduce Intel Optane SSDs as cache tier on I/O-intensive workloads to reduce the number of disk groups required. Whether running applications, websites, databases, file servers, or other services, storage performance is often the most important factor in delivering high-performing business solutions. And higher disk throughput is key to achieving performance.
We targeted web, application, and database servers using common factory workloads and the results were outstanding. Testing revealed that two disk groups performed as well as three and write-intensive workloads performed even better. We compared automation system use cases involving defect analysis application servers and database servers on a virtualized platform with Intel Optane storage media against systems with NAND SSD (All-Flash) systems. With nearly 200 physical servers hosted in the integration environment, the results gave us confidence to virtualize most factory integration compute environments with servers that simulate the factory setting before applying changes in production.