KORTHOS / ECOSYSTEM / PRODUCT

JCO-1000-ORN Series AI Edge Computer

About

About JCO-1000-ORN Series AI Edge Computer

Three chassis variants make up Premio’s JCO-1000-ORN family, pairing NVIDIA Jetson Orin NX Super or Nano Super modules with a fanless, cableless enclosure. Module choice spans 34 to 157 TOPS and 10 to 40 watts. The systems accept 9- to 36-volt DC input, operate from minus 20 to 55 degrees Celsius and provide TPM 2.0, isolated digital I/O and shock-and-vibration protection.

Variant A combines gigabit Ethernet, four USB 3.2 ports, CAN 2.0B and NVMe storage; variant B adds a second Ethernet port and direct support for up to four GMSL cameras. M.2 expansion supports cellular, Wi-Fi and Bluetooth options, while wall and DIN-rail mounts cover fixed installations. JetPack 6.2 supplies the NVIDIA software environment, with compute, interface and power figures depending on the selected module and chassis.

Supply

Supply / Components

  • JCO-1000-ORN Series AI Edge Computer

    Compute Module - Compute & Control - NVIDIA - Premio JCO-1000-ORN configurations use NVIDIA Jetson Orin NX or Orin Nano modules - source: premioinc.com

    Source

Timeline

  • Premio launches rugged RCO and JCO edge-AI mini PCs at Automate 2026

    2026-06-22 - Product Launch - The RCO-1000-ASL line uses Intel Atom x7000 processors for compact industrial edge computing. The JCO-1000-ORN-B/C systems use NVIDIA Jetson Orin Nano and Orin NX modules for edge AI and multi-camera deployments. The product gives Premio a concrete offering for robot sensing, actuation, compute or communications systems.

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  • Premio releases JCO-1000-ORN rugged edge-AI computer

    2025-09-15 - Product Launch - The system uses NVIDIA Jetson Orin NX or Nano Super modules and delivers up to 157 TOPS in a chassis smaller than 1.5 litres. Its fanless aluminium enclosure is specified for -20°C to 55°C operation and MIL-STD-810 shock and vibration conditions. Model A was available at announcement; the planned Model B was slated for Q4 2025 with support for up to four GMSL cameras.

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Context

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