The Rugged Edge Media Hub

Fanless PCs are excellent for industrial applications, space-constrained solutions, power-efficient systems, and many more. Building a rugged computing solution with a fanless design allows the system to do much more in terms of versatility, durability, reliability, flexibility, and longevity. Discover More

Premio’s industrial SBCs with AMD Ryzen™ Embedded SoCs power embedded and IoT applications with a new class of performance in a integrated single-board solution. AMD industrial motherboards reach new levels of versatility for advanced data processing and wireless telemetry for new levels of machine intelligence. Integrate AMD industrial single board computers for industrial-grade embedded deployments at the rugged edge!

Premio’s industrial SBCs with AMD Ryzen™ Embedded SoCs power embedded and IoT applications with a new class of performance in a integrated single-board solution. AMD industrial motherboards reach new levels of versatility for advanced data processing and wireless telemetry for new levels of machine intelligence. Integrate AMD industrial single board computers for industrial-grade embedded deployments at the rugged edge! Discover More

Premio has engineered the RCO-6000-CML with the latest processing technologies, including multi-core processors, ultra-fast storage, and AI accelerators, to push real-time processing to new boundaries at the rugged edge. As processing power shifts away from resources in the cloud, deployments in remote and mobile environments require ruggedized systems that can withstand exposure to environmental factors such as dust, debris, shock, vibration, and extreme temperatures. Premio’s AI Edge Inference Computers are tested and validated to ensure reliable performance amid deployments in the harshest environmental settings. -10th Gen Intel® Core™ & Intel® Xeon® W processors with W480E chipset-Modular EDGEBoost Nodes for inference and machine learning workloads-Plug and Play Dual-SIM 5G cellular network module-Workload consolidation at the edge with versatile I/O-Ruggedized and Tested for rugged edge computing

Dustin Seetoo, Product Marketing Director gives overview of Premio's RCO-6000-CML Series AI Edge Inference Computer. Learn More: https://premioinc.com/pages/ai-edge-inference-computer-with-10th-gen-intel-corePremio has engineered the RCO-6000-CML with the latest processing technologies, including multi-core processors, ultra-fast storage, and AI accelerators, to push real-time processing to new boundaries at the rugged edge. As processing power shifts away from resources in the cloud, deployments in remote and mobile environments require ruggedized systems that can withstand exposure to environmental factors such as dust, debris, shock, vibration, and extreme temperatures. Premio’s AI Edge Inference Computers are tested and validated to ensure reliable performance amid deployments in the harshest environmental settings. 10th Gen Intel® Core™ & Intel® Xeon® W processors with W480E chipsetModular EDGEBoost Nodes for inference and machine learning workloadsPlug and Play Dual-SIM 5G cellular network moduleWorkload consolidation at the edge with versatile I/ORuggedized and Tested for rugged edge computing

The ACO-6000-CML Series In-Vehicle Computer is engineered with versatile technologies that enable powerful processing for workloads that power intelligent automation, machine learning, and even IoT data telemetry.With the EN50155 certification, Premio’s in-vehicle computers are tested and validated to ensure reliable performance in the harshest environmental settings, especially in strict railway deployments.

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.”

Peter Hsu, Solution Architect pushed performance to the limit with an overview of DPU accelerated servers

Sales Engineer, Robert Lu dives into purpose-built UL certified industrial computers

Sustaining Manager, Calvin Chen gives overview to palm-sized SFF computers

Director of Product Marketing, Dustin Seetoo provides summary of AI Edge Computers

Dustin Seetoo, Director of Product Marketing dives into Rugged Edge Computing

Crystal Tsao, CEO of Premio Inc. welcomes partners to rugged edge computing event

Premio is a global ODM/OEM leader in computing technology from the edge to the cloud that provides premium embedded IoT computers, HMI displays, and HPC storage products to solve complex requirements for over 30 years in the United States.

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

Future-ready connectivity, high-speed storage, versatile integration and rugged edge design are driving Industry 4.0 into more challenging environments. Premio Director of Product Marketing Dustin Seetoo joins other industry leaders and engineers in the panel discussion to explain the engineering behind developing smarter, faster, smaller rugged edge computers for harsh industrial settings. Further reads: What is the Rugged Edge: https://premioinc.com/blogs/blog/what-is-rugged-edge-computing?_pos=1&_sid=728bb5fe3&_ss=r AI Edge Inference Computer VCO-6131E-4M2: https://premioinc.com/pages/ai-edge-inference-computer What is NVMe and Why it Matters: https://premioinc.com/blogs/blog/storage-technology-explained-sata-vs-nvme?_pos=7&_sid=5e2e71833&_ss=r Explore our Rugged Edge case studies: https://premioinc.com/blogs/blog/tagged/case-study

The convergence of IT with vulnerable OT has exposed the inherent weaknesses that can result in attacks on the industrial IoT. Such vulnerabilities include poorly-secured industrial systems. AI/ML provides hyperintelligent cybersecurity and threat mitigation for platforms based on Industry 4.0. To date, the compute systems optimized to deploy responsive, powerful AI/ML are unsuited for the physical factors of heavy industrial settings. Rugged edge computers are purpose-built to reliably deliver intelligence in these challenging environments. In this talk, we’ll address these issues, as well as the advanced compute, storage, connectivity, and ruggedized features that support reflexive, real-time AI close to the data sources. Robert Lu, Director of Technical Operations for Premio provides some insight into the importance of hardware security encryptions at the rugged edge with TPM 2.0

Fanless or passive cooling is a method of achieving high levels of natural air convection and thermal dissipation through architectural designs and heat sinks. Learn more about fanless technology behind the computing solutions from Premio Inc. Learn More About Premio Inc. - https://premioinc.com/

The advancement in IoT technology and AI applications is driving the demand for even more processing power. CPU alone is no longer sufficient to process advanced AI algorithms in a timely manner. This is where GPUs come into play. CPUs offload certain tasks to GPUs, which use parallel computing to utilize thousands of cores to optimize these advanced intelligent applications. Watch the webcast on-demand and learn about the roles of CPUs and GPUs in embedded systems and advanced edge applications with Sean Chen, Solution Engineer here at Premio Inc. Learn More About Premio Inc. - https://premioinc.com/

On-demand webinar access for a Q&A session with Premio's Director of Product Marketing Dustin Seetoo and associate editor at Vision Systems Design, Dennis Scimeca about key benefits of rugged edge computing. Achieving real-time decision making and predictive analytics is an increasingly strategic goal among industrial operations – an imperative fueled by rapid digital transformation and a growing appetite for automation upgrades across the broad spectrum of commercial and manufacturing applications. Rugged edge computing plays a critical role in this landscape, accelerating data processing based on a variety of sensor input data and enabling access and analytics close to the data source. For example, the primary goal of many new IoT applications is the delivery of a level of intelligence refined beyond human capabilities or pace. In these applications, machine learning is required but must be supported by dedicated hardware to process and run algorithms effectively.

Achieving real-time decision making and predictive analytics is an increasingly strategic goal among industrial operations – an imperative fueled by rapid digital transformation and a growing appetite for automation upgrades across the broad spectrum of commercial and manufacturing applications. Rugged edge computing plays a critical role in this landscape, accelerating data processing based on a variety of sensor input data and enabling access and analytics close to the data source. Listen to Premio's Director of Product Marketing dive into the key insights behind rugged edge computing and the specific technology benefits it will bring for industrial IoT

AI platforms at the Edge that are capable of running AI algorithms may look like your basic IoT Edge server, but that is not the case. There’s actually a fair amount of fine tuning that takes place, both in terms of hardware and software to enable this compute-intensive technology. It could be adding to the compute capabilities, ensuring that the system can handle the environments of industrial, medical and/or rugged application, or deploying the appropriate software. In this webinar, we will look at what’s required to run the deep-learning and machine-learning algorithms from a hardware perspective. Learn More About Premio Inc. - https://premioinc.com/

5G Technology is here and will transform industrial wireless networks with an unprecedented level of connectivity and performance like never before. Integrated 5G support is made possible through a proprietary carrier board design, offering easy plug and play options with validated global 5G modem cards. This flexible, modular design enables a variety of expansion options ranging from additional I/O ports and now 5G connectivity. The EDGEBoost I/O 5G cellular network module (DTB-2M2BK) provides immediate 5G access for Premio’s industrial edge computers.Learn more about our Industrial 5g-Ready Edge Computers >>

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.

Developing and improving autonomous vehicle systems and driver assistance systems (ADAS) requires massive real-world data from the various high-resolution cameras and vehicle sensors to train AV (autonomous vehicle) and ADAS (advanced driver assistant systems) algorithms. Obtaining this data requires purpose-built computing solutions capable of storing and recording data in real-time with speed and accuracy. Premio offers AI Edge Inference computers that are engineered for autonomous vehicle fleets and ADAS data deployments. Our AI Edge inference computers leverage the latest technologies in compute, storage, and connectivity to accelerate machine learning and real-time inference in the harshest environmental settings on and off the road.

Using vision technology to measure objects is the next big thing for metrology. Learn how industrial GPU computers are driving advanced high speed automation for manufacturing. https://premioinc.com/blogs/blog/industrial-gpu-computer-increases-metrology-speeds

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.