The Rugged Edge Media Hub: Recent Episodes
Premio
Welcome to Premio Inc's rugged edge media hub, a resource for rugged edge computing content that features product videos, technical application videos, podcasts, and company insights.
The RCO-6000-CML Series AI Edge Inference Computer incorporates advanced performance with Intel’s 10th Generation Core processors, an advanced GPU accelerator, and expandable, hot-swappable NVMe SSDs with its modular EDGEBoost Nodes.
RCO-6000-CML AI Edge Inference Computer support modular add-on nodes for powerful inferencing capabilities and high-performance NVMe storage. Users can select specific nodes that provide high-speed NVMe storage, high-density SATA storage, and even GPU acceleration for machine learning and AI workloads.
The RCO-3000-CFL industrial PC series deliver powerful multi-core performance supporting 9th Gen Intel® Core socket processors. Fanless engineering and passive cooling technologies provide reliability for the harshest environmental deployments. The RCO-3000-CFL industrial PC is tested under extreme conditions for wide-operating temperatures, wide input voltages, and shock and vibration tolerance. Power Ignition Management ensures safe system boot down after engine shutoff when deployed for in-vehicle applications. TPM 2.0 provides hardware security and enables cybersecurity features for ultimate data encryption.
Where does Premio Fit In?
- Premio is part of an open ecosystem that leverages popular architecture demands in x86 computing architecture to deliver the performance acceleration in embedded and ruggedized computing solutions
- As an original design manufacture for rugged computing systems in embedded and edge markets, we are able to help customers scale quickly from product design to manufacturing scale with out specific products.
- Discover Rugged Edge Computing
Dive into the design behind Premio's AI Edge Inference Computer with Dustin Seetoo, Director of Product Marketing.
Design upgrades on flagship RCO-6000-CFL edge computer addresses key challenges for even more performance and modular flexibility at enterprise scale. As distributed edge computing solutions shift into more remote, mobile, and unstable conditions closer to IoT sensors, next generation designs require versatile engineering to support real-time processing and inference calculations in conditions prohibitive to traditional PC designs. Premio’s 30+ years of engineering expertise brings an innovative modular approach to industrial-grade compute and system-level design with its “EDGEBoost Nodes.” These new nodes address current demands for powerful performance acceleration needed to push industrial-grade computers to process and analyze large volumes of data for rugged edge computing. Specific computer vision and edge computing applications can benefit from real-time processing capabilities with the latest hardware acceleration technologies by incorporating Premio’s modular AI Edge Inference Computers.
Premio’s 30+ years of engineering expertise brings an innovative modular approach to industrial-grade compute and system-level design with its “EDGEBoost Nodes.” These new nodes address current demands for powerful performance acceleration needed to push industrial-grade computers to process and analyze large volumes of data for rugged edge computing. Specific computer vision and edge computing applications can benefit from real-time processing capabilities with the latest hardware acceleration technologies by incorporating Premio’s modular AI Edge Inference Computers
From canal blockages to microchip shortages, the past year has shed light on holes in the supply chain and put a squeeze on industries far and wide. While key players have stayed successful by being nimble enough to overcome these obstacles, how much longer can manufacturers rely on being able to change course that quickly? The answer doesn’t lie in the warehouses and factories of overseas manufacturers. It’s right here at home. We’re hitting the road in search of America’s most interesting companies to answer one question: Why are you proud to be made or assembled in America? In this episode we visit Premio Inc. in Los Angeles, California a global solutions provider specializing in computing technology from the edge to the cloud.
Premio Inc., a global leader in rugged edge and embedded computing technology, shared its strategic plans to bring ‘American-made' manufacturing to the forefront. With focus on U.S. facilities, capabilities, and talent, Premio is committed, alongside Intel®, to easing supply chain issues and strengthening the country’s semiconductor manufacturing resources for long term benefit.
“Semiconductors are essential building blocks to the digital economy, enabling everything from the cloud to the edge. It’s critical that we increase that advanced chip manufacturing capacity, capability, and innovation – important to this country’s technological success and leadership,” said Jennifer Bressler, Director of Americas Business Management Group with Intel. “In a digitizing world, compute is king. We want the U.S. to be a part of that, as a matter of both national security and economic success.”
From canal blockages to microchip shortages, the past year has shed light on holes in the supply chain and put a squeeze on industries far and wide. While key players have stayed successful by being nimble enough to overcome these obstacles, how much longer can manufacturers rely on being able to change course that quickly? The answer doesn’t lie in the warehouses and factories of overseas manufacturers. It’s right here at home. We’re hitting the road in search of America’s most interesting companies to answer one question: Why are you proud to be made or assembled in America? In this episode we visit Premio Inc. in Los Angeles, California a global solutions provider specializing in computing technology from the edge to the cloud.
Premio is a global solutions provider specializing in computing technology from the edge to the cloud. We design and manufacture highly reliable, world-class computing solutions for enterprises with complex, highly specialized requirements for over 30 years. Our engineering specialty and agile manufacturing push the technical boundaries in embedded IoT computers, rugged edge computers, HMI displays and HPC storage servers. Value-added services such as product development and designing, support and supply chain management, logistics are provided. Serves the airport security, industrial or factory automation, robotics and autonomous ADAS, kiosk machine, medical imaging analysis, mining, computing, NVR surveillance and vehicle fleet telematics industries. ISO 13485, 9001, 14001 NDAA/ TAA Compliant AWS & Azure Cloud Device Certified
The RCO-3000-CFL Series supports rich processing, future-ready storage technology, and rapid connectivity for more reliable and efficient processing at the rugged edge. But what differentiates this computing solution the most for embedded and industrial markets is its dimensional size. The RCO-3000-CFL is designed to be a small form factor (SFF) industrial computer but uses a high-performance socket type processor design. This SFF industrial computer measures in at 7.5” inches in width, 7.7” inches in depth, and only 2.3” inches in height, making it extremely compact for an industrial computer in its size that also uses a fanless design. Industrial-grade fanless designs ensure better reliability in wider temperatures ( -25C to 60C), wider input voltages (9-48VDC), and even resistance to shock (50G) and vibrations (5GRMS). IoT integrators and industrial automation operators can rely on the RCO-3000-CFL Series SFF industrial computer to manage the most complex workloads in space-constrained deployments that experience harsh environmental conditions.
Machine learning has existed since originating in the ‘60s but has exploded in the past decade as it integrates into everyday life.
Guest Daryl Nees, director of Americas sales at Hailo Technologies LTD., explained to co-guest Peter Hsu, solutions engineer at Premio Inc., and Host Daniel Litwin how Hailo is at the forefront of artificial intelligence (AI) advances.
As a semiconductor solutions provider, Hailo accelerates machine learning algorithms with neural networks. Through utilizing edge learning, they process data directly on a device or a nearby server. Data can be pre-processed at the edge of a network, reducing need for costly cloud service processing.
Edge learning is used in many industries and is a crucial component to remaining relevant in today’s world.
Nees explained, “Everybody I talk to across all these industries believe their AI plan and their AI productization roadmap is really a critical part of the future of their corporate organizations.”
One real-world illustration is the surveillance industry. For example, when pixelated images of guns are identified by the AI, police are notified.
However, none of this would be possible without power. Power performance is a key benefit for AI function. Hailo prioritizes this with application-specific integrated circuits (ASIC), such as Hailo 8, which is made for running AI-specific neural algorithms.
Hailo 8 is significantly smaller in architecture when compared to compact graphics processing units while still maintaining its edge on memory. “Having the onboard memory… gives us a major advantage in latency and speed performance over versions that might have offboard memory,” Nees said.
Hsu summarized: “The whole point of AI is to increase efficiency of what we do. It’s going to improve production, improve quality. The impact is only going to get greater.”
Premio’s Director of Product Marketing, and resident Edge Tech guru, Dustin Seetoo, once again joined host Daniel Litwin to break down more in-depth coverage of edge computing. And on this episode, Seetoo took Litwin to the 'near' and 'far' edges of the computing spectrum.
Seetoo noted, off the bat, that data generation outside cloud environments is growing by leaps and bounds, which means edge computing solutions are absolute. “A question I think a lot of people are asking is why is this decentralization that’s happening away from the cloud,” Seetoo said. “It’s definitely not because the cloud’s not doing its job or that the cloud’s a bad resource. It’s really an ability to drive the proximity of data closer to data generation.”
To think of ‘near edge,’ one should start with IoT devices on a factory floor that requires proximity to edge computing. The ‘far edge’ is where remote devices live—5G base stations or rugged edge deployments under challenging environments.
“The ultimate goal, based on the application, is moving compute networking storage resources in specific locations in proximity to where it’s being generated and to figure out a way to dramatically cut down the time it takes, which is the latency and provide this new ultra-low latency type of performance,” Seetoo said.
Newer types of workloads requiring millisecond latency are where, Seetoo said, people will see significant growth in new technologies such as autonomous driving.
More industries than ever need real-time data and analytics from the rugged edge, where numerous factors challenge the collection of that data.
While more rugged computers and networks were the level-one solution to these needs, single servers and desktops are quickly being outpaced in terms of their usefulness at the edge. To collect the real-time data organizations need, these edge computing solutions need to be kicked up a notch.
Enter high-performance computing, or HPC.
HPC is the aggregation of computing power across multiple desktops or servers, which provides more power, and it’s stepping in to fill the gap between data and network needs and the capabilities of single rugged computers or servers.
To learn more about the increasingly important role of HPC in collecting insights from the rugged edge, Rugged Edge Survival Guide host Daniel Litwin was joined by Premio’s Product Manager for Server & Storage Solutions, Andy Lee.
The duo dove into the HPC landscape and Premio’s solutions, offering a firsthand look at the types of innovations that are bringing the power and performance organizations so desperately need to get the most out of their data at the rugged edge.
They also broke down some of the most relevant use cases of high-performance computing, such as financial transactions, cloud applications, medical and healthcare, and content rendering.
Over the past five years, a new version of Non-Volatile Memory Express storage protocol has been working to bridge the gap between networks and NVME. This new version is called NVME-oF (Non-Volatile Memory Express - Over Fabrics) and is furthering this technology, which relies on low-latency data paths to create high-performance stored media.
Many supporting technologies have to come together to help with 5G's expansion. Data processing units, smart network interface cards and field-programmable gate arrays (known as DPUs, SmartNICs and FPGAs) are three technologies that intersect to create an innovative and flexible solution expanding the reach and use cases of 5G technology.
Premio, Inc. is a global solutions provider specializing in computing technology from the edge to the cloud. Our engineering and agile manufacturing pushes the technical boundaries in embedded IoT computers, rugged edge computers, HMI displays and HPC storage servers. At Premio, we go to extraordinary lengths to solve the most formidable challenges faced by our customers, contact us today for proven industrial computing solutions.
No edge computing survival guide is complete without knowing which hardware requirements are most essential for edge computing solutions to handle massive workloads. To provide those top standards on which edge computing professionals can rely, Dustin Seetoo, Director of Product Marketing, and Kenneth Hau, Business Development for Premio, stopped by the Rugged Edge Survival Guide with 10 hardware needs for any edge deployment.
Edge computing is shaping intelligence for many corporate enterprises and new businesses. Dustin Seetoo, Product Marketing Director at Premio, broke down all of the necessary info to bring people up to speed on the latest in rugged edge computers and why this technology is a transformative game-changer for 2021.
By now everyone has heard of the cloud. Most businesses even understand how they can use it effectively. But what about other advances?
With 5G, LTE and other wireless networks rolling out plus more IoT advances being made nearly daily, businesses will need the power to pull it all together. Simply relying on the cloud won’t be enough for companies who truly want to leverage big data going forward, noted Dustin Seetoo, Premio’s Director of Product Marketing.
“The edge computing is really about the ability to offer the necessary compute power resources and enough connectivity for real-time processing and decision-making for full autonomy. A great example of this that we work with a lot of partners on in terms of hardware scale and what they’re looking for is a lot of robotics,” Seetoo said. “Robotics in this day and age, how you look at edge computing requires sub-millisecond processing. So, a robotic arm on a factory line needs to be able to recognize in a millisecond that this object is whatever it is, then move it to a different object.”
Robotics is hardly the only industry being transformed by the use of rugged edge computing.
Digital transformations also are taking place in the autonomous vehicle space, especially in commercial fleets, and Premio even has a client utilizing the quick-response computing power in surface and underground mining equipment. That goes to show how widespread the implementation can be, and Premio works across a wide swath of product families to make sure companies are getting intelligence and understanding how to use it.
“We’re starting to see this convergence of all this transformative technology,” Seetoo said.
Learning how to make the rugged edge work for you can be key to making sure your business is on the cutting edge of the next technology revolution.