KORTHOS / ECOSYSTEM / PRODUCT

MIC-711-OX Edge AI System

About

About MIC-711-OX Edge AI System

Advantech packages NVIDIA Jetson Orin NX processing in a compact fanless enclosure for local neural-network execution. Available module configurations reach 157 TOPS, while Gigabit Ethernet, USB 3.2, mPCIe and M.2 interfaces connect cameras, storage and wireless hardware. The metal chassis is intended for embedded deployment where space and active cooling are constrained.

JetPack provides the CUDA-based software environment and acceleration libraries used to build and deploy models. Allxon support adds remote monitoring and over-the-air software management for distributed installations. The combination suits machine-vision stations, mobile platforms and other industrial systems that need inference near sensor inputs while retaining expansion paths for application-specific peripherals.

22 OCT 2026

Advantech introduces UniCAM multi-camera integration on NVIDIA Jetson Thor

Supply

Supply / Components

  • MIC-711-OX

    Nvidia Jetson Orin Nx For Advantech Mic 711 Ox - Compute & Control - NVIDIA - Advantech specifies Jetson Orin NX for MIC-711-OX - source: advantech.com

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Context

Market context

MIC-711-OX is Advantech's compact fanless edge-AI computer for robotics, machine vision, and industrial inference workloads built around NVIDIA Jetson Orin NX.

  • Target environment: Robots, inspection systems, industrial AI devices, camera networks, and machine-vision cells needing rugged edge inference.
  • Workflow context: Sensor ingestion, AI inference, camera processing, robot perception compute, industrial networking, and edge deployment of autonomy workloads.
  • Customer context: Robot OEMs, industrial automation teams, system integrators, machine-vision builders, and edge-AI developers.
  • Deployment model: Embedded computer integrated into customer robot or machine architectures alongside sensors, storage, networking, and application software.
  • Commercial maturity: Commercial edge-AI system positioned for industrial inference, robotics, and machine-vision integration.
  • Adoption constraints: Adoption depends on compute requirement, thermal envelope, camera and IO support, operating environment, software stack, and Jetson lifecycle planning.
  • Market position: Robotics compute infrastructure product sitting between sensors and autonomy software.
  • Adjacent products: CV72S AI Vision SoC, OAK-D Pro AI Stereo Camera, BHI360 Smart IMU

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