Specifications
Platform
NVIDIA Dual Jetson AGX Orin
CPU
12-core NVIDIA Arm Cortex-A78AE v8.2 (per module)
GPU
Ampere-based GPU with 2048 CUDA cores and 64 Tensor Cores
AI Performance
Up to 275 TOPS (INT8) per AGX Orin module
Memory
64GB LPDDR5
Storage
64GB eMMC
Target
Optimised for robotics and mobility AI
Form Factor
Compact fanless industrial system
Video
Multi-camera support via AGX Orin ISPs
Interfaces
High-speed I/O for sensor fusion and networking
Thermal
Fanless industrial thermal design
OS Support
NVIDIA JetPack / Ubuntu
Overview
The Advantech MIC-736 packs two NVIDIA Jetson AGX Orin modules into a single compact system, targeting robotics and mobility AI workloads that demand the highest embedded inferencing density. Each AGX Orin pairs a 12-core Arm Cortex-A78AE CPU with an Ampere GPU of 2048 CUDA cores and 64 Tensor Cores, reaching up to 275 TOPS.
The dual-module arrangement lets one enclosure serve parallel perception and control pipelines, or run redundant high-availability inference for autonomous mobile robots, AGVs and other safety-relevant machines. It is a step up from single-module AGX Orin systems for teams that need maximum edge compute without moving to a data-centre platform.
Key Benefits
Two AGX Orin modules in one chassis for maximum embedded AI density; 2048 CUDA cores and 64 Tensor Cores per module; ideal for parallel perception/control pipelines in robotics; fanless industrial construction.
Applications
Autonomous mobile robots, AGV fleets, industrial robotics, sensor-fusion platforms, multi-camera perception and safety-relevant mobility AI.
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