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Data Center News > Blog > Edge Computing > Premio targets multi-camera edge AI with new Jetson Orin systems
Edge Computing

Premio targets multi-camera edge AI with new Jetson Orin systems

Last updated: April 9, 2026 12:17 pm
Published April 9, 2026
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Premio targets multi-camera edge AI with new Jetson Orin systems
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Rugged edge AI and embedded computing supplier Premio debuted two new fashions  to its JCO-Series of rugged NVIDIA Jetson Orin edge AI computer systems at ISC West 2026.

Designed for next-gen imaginative and prescient AI functions, these fashions energy multi-camera deployments utilized in a number of industries together with safety, transportation and sensible infrastructure by supporting as much as 4 GMSL2 cameras.

“As AI-driven imaginative and prescient methods proceed to remodel industries resembling safety, transportation, and sensible infrastructure, organizations want dependable computing platforms able to processing information straight on the edge,” says Dustin Seetoo, VP of product advertising and marketing at Premio. “With the JCO-1000-ORN-B and JCO-1000-ORN-C, we’re increasing the JCO-1000-ORN Sequence to assist multi-camera AI deployments whereas sustaining the rugged efficiency required for real-world edge environments.”

These supercomputers come outfitted with NVIDIA Jetson Orin NX/Nano modules, which give as much as 157 TOPS of AI efficiency and ruggedized I/O for edge environments.

Highlights will embrace twin LAN or rugged M12 LAN connectors, high-speed NVMe M.2 storage, 4G/5G and Wi-Fi assist together with CAN Bus and prolonged working temperature vary (-20°C to 55°C).

The methods are small type issue, vehicle-ready with 9–36VDC enter and authorized to CE, FCC and UL international requirements.

The brand new fashions shall be accessible for order by mid-Q2 2026. 

Associated

AI infrastructure  |  edge AI  |  edge infrastructure  |  Premio

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See also  Premio’s collaboration with NVIDIA fosters faster time to market at the edge
TAGGED: edge, Jetson, multicamera, Orin, Premio, Systems, targets
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