Rugged edge AI and embedded computing specialist, Premio, has unveiled the JCO-1000-ORN. This compact, fanless AI edge computer is designed for real-time inferencing in challenging environments, powered by NVIDIA Jetson Orin NX and Nano modules.
The JCO-1000-ORN from Premio is a robust solution for industrial automation, intelligent vision, and autonomous mobility applications. It is compatible with NVIDIA JetPack SDK 6.2, enabling seamless AI model deployment.
Featuring a durable, shock-resistant aluminum housing, this edge computer can operate in extreme temperatures (-20°C to 55°C) and harsh conditions, delivering up to 157 TOPS of AI performance. Two configurations are available: model A for general industrial use and model B with enhanced features suitable for camera-rich applications like transportation and smart infrastructure.
Dustin Seetoo, VP of product marketing at Premio, highlights the importance of resilient and mobile computing for physical AI applications. The JCO-1000-ORN, combined with NVIDIA Jetson Orin Modules, offers a powerful edge AI solution in a ruggedized form, empowering developers and system integrators to deploy real-time intelligence in autonomous applications.
Key features of the JCO-1000-ORN include multiple I/O connectivity options, modular expansion capabilities, and optional remote management via Allxon. This edge computer strikes a balance between cloud intelligence and edge autonomy, enabling next-gen applications that rely on real-time decision-making through multimodal AI models.
Model A is currently available, with Model B set for launch in Q4 2025 to cater to various industrial IoT applications and vision-based deployment needs. The JCO-1000-ORN provides a scalable, rugged solution for OEMs and industrial AI providers, facilitating faster time-to-market for AI-driven automation and computer vision projects.
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AI/ML | computer vision | edge AI | Nvidia Jetson Orin | Premio | rugged edge computer
