Artificial Intelligence is rapidly transitioning from the digital world into the physical one—moving from software chat boxes into autonomous robots, smart factories, and critical infrastructure. But there is a major technical gap: the standard server hardware running these sophisticated models is designed for pristine, climate-controlled data centers, not the chaotic reality of industrial edge environments.

Heat, vibration, and conductive dust are the enemies of sensitive AI chips. While a crash in the cloud might just delay a webpage, a crash on a robotic arm can lead to physical disaster.

In this video, we explore why absolute hardware reliability is a non-negotiable requirement for the era of Agentic Physical AI. Discover how Premio leverages over 37 years of manufacturing experience to engineer ruggedized computing backbones—sealing systems against extreme elements and neutralizing shock to ensure your autonomous agents operate flawlessly on the factory floor and beyond.

Learn how to bridge the gap between high-performance silicon and the harsh reality of the physical edge.

Discover our Rugged Edge AI computing solutions: https://premioinc.com

Meet the CT-MBL01, a high-performance Micro-ATX Industrial Motherboard built for industrial automation, machine vision, embedded AI, and edge computing applications. Powered by Intel® Core™ Series 2, 14th Gen, 13th Gen, and 12th Gen processors, it combines DDR5 memory, PCIe Gen 5 expansion, quad 4K displays, and rich industrial I/O in a scalable platform designed for next-generation industrial systems.

See EDGEBoost OOB in action on Premio's DCO-1000-ASL Series. This demo showcases built-in Out-of-Band Management capabilities, including remote power control, force shutdown, power scheduling, Device Always On recovery, real-time power monitoring, and Serial Console access—all through an on-premise web-based interface with no subscription required.

In this episode of Premio Talk Rugged, Premio and Allxon discuss why remote management is becoming critical for edge AI deployments in the era of Physical AI. Learn how Allxon ResiLink™ enables secure, resilient, and on-premises management of edge devices with features such as OTA updates, power cycling, BIOS/UEFI access, and remote troubleshooting—helping organizations keep AI systems running reliably across distributed environments.

Discover Premio’s x86 Edge AI Workstation portfolio, designed to deliver high AI performance, scalable GPU acceleration, PCIe expansion, and industrial-grade reliability for real-time edge AI deployments. From compact systems to rugged GPU workstations, Premio provides flexible platforms for vision AI, robotics, machine vision, and industrial automation.

Premio was proud to make its debut at COMPUTEX 2026, showcasing how ruggedized computing is accelerating the next evolution of AI. As AI rapidly expands beyond the cloud to the edge, intelligence is becoming more physical, distributed, and capable of operating in real time within the world's most demanding environments.

To support this transformation, Premio demonstrated its latest innovations designed to deliver the reliable, scalable, and deployment-ready compute infrastructure needed for Edge AI and Physical AI applications.

✨ Highlights of Premio at COMPUTEX 2026:

Premio unveiled its new next-gen edge solutions targeting Physical AI:

▪️ Expanded the NVIDIA Jetson-powered WCO Series with: WCO-3000-ORN Series (Orin Nano/NX) and WCO-6000-THR Series (AGX Thor)

▪️ Unveiled new LLM Series platforms powered by AMD Ryzen™ and EPYC™ processors: LLM-2U-AM5 and LLM -3U-AM5. Featuring extensive PCIe 5.0 expansion support for high-performance GPU deployments

▪️ Announced the new Edge AI Workstation lineup: KCO-6000-ARL Series, powered by Intel® Core™ Ultra Series 2 processors

Learn more: https://premioinc.com/blogs/press-kits/premio-unveils-next-gen-physical-ai-edge-solutions-computex-2026

Learn how a smart transportation provider improved traffic intersection reliability and reduced onsite maintenance using Premio's rugged edge computers with remote management capabilities.

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At COMPUTEX 2026, Premio unveiled two new Edge AI Servers powered by AMD Ryzen™ and AMD EPYC™ processors, expanding its LLM Series to meet the growing demands of next-generation Physical AI applications.

In this interview, Jordy Hsu, Product Marketing Manager at Premio, discusses the accelerating shift of AI workloads from the cloud to the edge and why powerful Edge AI infrastructure is becoming increasingly important for real-time inference, autonomy, and intelligent decision-making.

Jordy also provides an overview of Premio's complete LLM Series lineup, including the LLM-1U-RPL Series, LLM-2U-AM5, and LLM-3U-AM5, highlighting their capabilities for deploying large language models and AI applications at the edge. In addition, he explores emerging Agentic AI use cases and how these Edge AI Servers are enabling the next wave of intelligent systems.

Discover Premio's complete portfolio of NVIDIA Jetson-powered robotics solutions showcased at COMPUTEX 2026. From the entry-level JCO-1000-ORN to the high-performance Jetson Thor-powered WCO-6000-THR, explore scalable edge AI platforms designed for autonomous mobile robots, machine vision, industrial automation, and next-generation Physical AI applications. Learn how Premio's ruggedized WCO Series delivers IP66 protection, M12 industrial connectivity, multi-camera support, and NVIDIA Holoscan integration to enable intelligent robotics in real-world environments.

Explore more: https://premioinc.com/collections/nvidia-jetson-solutions

Learn how Premio's RCO-6000-RPL empowers autonomous mobile robots with high-performance AI computing, flexible expansion, and rugged reliability for warehouse automation.

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