Premio Jetson Thor and Orin Rugged Edge Computers for Physical AI

Posted by – June 2, 2026
Category: Exclusive videos

Premio is a global provider of ruggedized edge computing technology, headquartered in Los Angeles, California, with research and development operations in Taipei, Taiwan. At Computex 2026, the company highlighted its recent brand consolidation with its Taiwan subsidiary and showcased its hardware backbone designed for physical AI and autonomous machine workloads at the edge.


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The company’s embedded lineup includes the JCO series of edge computers. The JCO 3000 Orin is a fanless system that supports NVIDIA Jetson NX and Nano modules and features four gigabit LAN ports with Power over Ethernet (PoE) support to connect external cameras. The JCO 6000 Orin leverages the NVIDIA Jetson AGX Orin 32GB and 64GB modules and integrates customizable Edge Boost IO modules for RJ45, M12, and USB connectivity.

For harsher deployment environments, the WCO series features an IP66-rated ruggedized chassis with M12 locking connectors. The WCO 3000 series supports NVIDIA Jetson NX and Jetson Orin modules, and Premio is introducing support for the NVIDIA Jetson Thor T4000 and T5000 modules. These systems support sensor fusion in robotics applications, incorporating GMSL camera interfaces and four 10-Gigabit bandwidth pipelines.

Premio also introduced its line of rack-mountable edge AI servers in 1U, 2U, and 3U short-depth form factors to bring high-performance computing closer to local data sources. These servers support X86 semiconductors, including Intel and AMD Ryzen 9000, 8000, and 7000 series processors, as well as the AMD EPYC 4000 series utilizing the AM5 socket.

The short-depth edge AI servers include PCIe expansion slots to accommodate multiple GPUs and ISP network cards for local large language model (LLM) inference. By adopting domain-specific architectures and accelerators, Premio’s physical AI compute spectrum is built to handle real-time deterministic computing and autonomous robotics workloads away from centralized cloud infrastructure.

source https://www.youtube.com/watch?v=aLtzL9ZNZ3Y