Premio to showcase rugged Physical AI computing lineup at COMPUTEX 2026

By AI, Created 2:02 PM UTC, June 01, 2026, /AGP/ – Premio Inc. plans to unveil new rugged edge computers, AI workstations, and on-premise AI servers at COMPUTEX 2026 in Taipei as it targets the shift of AI workloads from the cloud to physical, real-time environments. The lineup is designed for robotics, industrial automation, inspection, and local multimodal AI deployment.

Why it matters: - Premio is positioning its hardware around Physical AI, where inference and automation move closer to machines, factories, vehicles, and robots instead of staying in the cloud. - The company is targeting demand for rugged computing that can handle real-time AI workloads in harsh industrial and outdoor environments. - The broader play is to support agentic AI systems with hardware that spans edge devices, workstations, and on-premise servers.

What happened: - Premio Inc. announced its upcoming showcase at COMPUTEX 2026 in Taipei, Taiwan. - The company will present its next-generation platform strategy for Physical AI at Booth #P0413 in Nangang Exhibition Center, Hall 2, 1st Floor. - Premio plans to show three product families: the WCO Series ruggedized NVIDIA Jetson AI edge computers, the KCO Series edge AI workstations, and the LLM Series edge AI servers. - COMPUTEX 2026 is themed “AI Together” and will highlight AI & Computing, Robotics & Mobility, and Next Gen Tech.

The details: - The WCO Series includes the WCO-3000-ORN and WCO-6000-THR. - The WCO-3000-ORN uses NVIDIA Jetson Orin Nano and Orin NX. - The WCO-6000-THR uses NVIDIA Jetson Thor T4000 and T5000. - The WCO Series is built for industrial, outdoor, railway, and robotics use cases. - The WCO Series includes IP66-rated protection, fanless cooling, M12 locking connectivity, and multi-camera support through PoE+, GMSL2, and NVIDIA Holoscan sensor pipelines. - Premio says the WCO Series is meant for mission-critical operating environments. - The KCO Series is led by the KCO-6000-ARL. - The KCO-6000-ARL uses Intel Core Ultra Series 2 processors, PCIe Gen 5 expansion, and support for full-length, full-height GPUs, including NVIDIA RTX Pro Blackwell options. - Premio says the KCO Series is aimed at vision AI, robotics, multimodal AI, and automation workloads closer to the machine. - The LLM Series includes the LLM-2U-AM5 and LLM-3U-AM5. - The LLM Series uses an AMD AM5 socket platform and B650 chipset. - The LLM Series supports AMD Ryzen 9000, 8000, and 7000 Series processors, as well as AMD EPYC 4004 CPUs. - Premio says the LLM Series is designed for local deployment of multimodal LLMs, agentic AI, and next-generation AI workloads in on-premise datacenters. - Premio says the three product lines cover the Physical AI compute continuum from rugged edge devices to industrial workstations and on-premise servers. - The company says the portfolio draws on semiconductor technologies from NVIDIA, Intel, and AMD.

Between the lines: - The announcement shows how industrial hardware makers are trying to define the infrastructure layer for Physical AI before the market fully standardizes. - Premio is also using COMPUTEX to broaden its identity beyond rugged edge systems into a wider AI compute vendor. - The Taiwan debut matters because the company has long-established R&D and manufacturing operations there, which can strengthen its credibility with industrial buyers and ecosystem partners. - Premio is presenting the shift to edge AI as a deployment problem as much as a model problem: hardware needs to be rugged, scalable, and close to where data is created.

What’s next: - Visitors will be able to see the new systems in person at COMPUTEX 2026. - Premio is likely to use the event to show how its three product lines map to robotics, industrial automation, and on-premise AI infrastructure. - The company is also signaling that its post-consolidation brand strategy will lean more heavily on global edge AI growth.

The bottom line: - Premio is betting that the next phase of AI hardware will be defined by rugged, distributed compute built for real-world environments, not just datacenters.