NVIDIA IGX Thor is the second-generation industrial edge AI platform in the IGX family, unveiled on October 28, 2025 at GTC Washington DC. The successor to NVIDIA IGX Orin (1st gen) โ based on the NVIDIA Blackwell architecture, it delivers up to 8ร higher AI compute on iGPU, 2.5ร higher on dGPU, and 2ร better connectivity. Dedicated to physical AI applications in industrial and medical environments requiring low latency, deterministic response, functional safety and long-term support.
A signature feature of IGX Thor is its dual NVIDIA Blackwell GPU: an integrated GPU (iGPU) on the compute module โ efficient for sensing and control tasks โ and a discrete GPU (dGPU) for the demanding compute of running LLMs, VLMs and other large generative models directly at the network edge. Combined: 5,581 FP4 teraflops of AI compute with 400 GbE connectivity.
NVIDIA IGX T5000 โ production module, the same variant used among others in the industrial humanoid AGIBOT G2 as the local inference engine for the GO-1 + GE-1 stack (2,070 FP4 TFLOPS in that specific deployment).
NVIDIA IGX T7000 โ production-ready board kit (carrier + dGPU + interfaces) for system integrators. Available from December 2025.
NVIDIA IGX Thor Developer Kit Mini โ developer variant for integrators and researchers (small desktop form factor).
The platform runs the full NVIDIA AI Enterprise stack: NVIDIA NIM microservices (accelerated physical AI deployments from cloud to edge), NVIDIA Isaac (robotics), NVIDIA Metropolis (visual AI), NVIDIA Holoscan (sensor processing). It integrates elements of NVIDIA Halos โ a full-stack safety system โ for functional safety in medical and industrial robotics, leveraging both onboard and infrastructure sensors to provide traditional and outside-in safety.
Industrial, robotics, and medical leaders already adopting IGX Thor: Diligent Robotics (Moxi 2.0), EndoQuest Robotics, Hitachi Rail (predictive maintenance and autonomous inspection of rail networks), Joby Aviation (autonomous flight), Maven Robotics (general-purpose industrial robots), SETI Institute. CMR Surgical is evaluating IGX Thor for its robotic surgical systems. OEM ecosystem: Advantech, ADLINK, ASRock Rack, Barco, Connect Tech, Curtiss-Wright, Dedicated Computing, EIZO, Inventec, NexCOBOT, Onyx, WOLF Advanced Technology, YUAN โ providing carrier boards, edge servers and accessories for IGX Thor.
Industrial edge AI platform ยท serves as: AI Inference, Compute, High-level compute, Computer vision processing. ยท compatible with: Humanoid, Manipulator, Industrial Robot.
Which group NVIDIA IGX Thor belongs to and how it is built
Compute Modules is a subcategory of hardware components that provide processing power for robotic systems. It encompasses onboard computers, single-board computers (SBCs), AI accelerators, embedded processors, GPU/NPU compute modules, and other units responsible for processing sensor data and executing control logic. These modules form the foundation of modern autonomous, humanoid, and perception-capable robots.
A component type covering industrial-class edge AI platforms โ unlike single developer SoMs (e.g. Jetson AGX Thor) or data-center accelerator cards, an industrial platform combines: (1) a high-performance compute module (typically ARM + iGPU), (2) an optional discrete GPU for added compute, (3) high-bandwidth sensor interfaces and 100+ GbE networking, (4) functional safety certifications (e.g. IEC 61508, ISO 13849), (5) long-term hardware and software support (typically 7-10 years) for production deployments. Classical applications: surgical robots, medical imaging devices, intelligent industrial systems, autonomous mobile machines.
A design class covering edge AI platforms with a specific hybrid architecture: simultaneous use of an integrated GPU (iGPU, part of the SoC/SoM for efficient sensing and control tasks) and a discrete GPU (dGPU, for demanding compute โ running LLMs, VLMs and large vision models at the network edge). The carrier board integrates high-level interfaces: 100+ GbE, PCIe, high-bandwidth sensor inputs, and external functional-safety signals (E-stop, watchdog, safety MCU). Certified against IEC 61508 (SIL), ISO 13849 (PL) or ISO 26262 (ASIL) depending on the application domain. The first representative of this class: NVIDIA IGX (Orin, Thor).
Other hardware parts related to NVIDIA IGX Thor
NVIDIA flagship compute module for humanoids and physical AI - 2070 TFLOPS FP4, Blackwell GPU, 128 GB LPDDR5X.
NVIDIA FPGA platform for low-latency sensor data streaming to GPU over Ethernet. Bridges cameras and sensors to IGX/AGX via GPUDirect RDMA. Open-source Apache 2.0, latest release 2.6 (June 2026).
IGX Thor runs the full NVIDIA AI Enterprise stack: NVIDIA NIM microservices (inference microservices), NVIDIA Isaac (robotics, including Isaac GR00T N โ VLA models for humanoids), NVIDIA Cosmos Reason (LLM/VLM), Metropolis (visual AI), Holoscan (sensor processing), Halos (functional-safety AI agents). Sim-to-real workflow: train models in Isaac Lab/Isaac Sim, deploy on production IGX Thor. 10-year LTS support for medically and industrially certified deployments.
