Bringing real-time physical AI to the industrial edge

Source: LEM Surgical via NVIDIA. LEM Surgical robot.
Source: LEM Surgical via NVIDIA. LEM Surgical robot.

As industries move toward physical AI, they will need a new class of intelligent edge computing devices capable of real-time sensing and inference to power autonomous, safety-critical machines in complex environments.

Enter NVIDIA IGX Thor — an industrial-grade platform that delivers real-time physical AI at the edge with high-speed sensor processing, enterprise-grade reliability and functional safety.

Now generally available, NVIDIA IGX Thor boosts edge applications in construction, manufacturing, logistics, healthcare and life sciences, and even space exploration:

- Caterpillar is developing an in-cabin conversational AI assistant, powered by IGX Thor, to enhance worker productivity and safety

- Hitachi Rail is using IGX Thor to deploy advanced predictive maintenance and autonomous inspection systems on rail networks.

- KION Group, the global supply chain solutions company, is harnessing IGX Thor and the NVIDIA Halos Outside-In Safety workflow to enable “outside-in” perception. An AI agent augments autonomous robot functional safety mechanisms by using infrastructure-mounted cameras and dynamic virtual safety fences.

- Ecosystem partners like SICK, a global sensr intelligence company, are also accelerating certification of autonomous industrial robots with sensor competence safety critical applications.

- Agility and Hexagon Robotics are adopting IGX Thor for real-time AI reasoning and multimodal sensor fusion for their safe, humanoid robots.

- Johnson & Johnson is adopting IGX Thor to power its Polyphonic digital surgery platform, bringing real-time AI inference to the operating room.

- KARL STORZ is using IGX Thor to develop next-generation endoscopy and imaging tools for more accurate diagnoses.

- Medtronic is evaluating IGX Thor.

- LEM Surgical and Horizon Surgical Systems are adopting IGX Thor to deliver precision and functional safety in surgical robot systems.

Built on the NVIDIA Holoscan platform, these systems can process and orchestrate multimodal sensor data — including video, imaging and device telemetry — enabling low-latency AI pipelines required for next-generation, software-defined medical devices and intelligent operating rooms.

On the science front:

- Researchers at CERN are using IGX Thor to run advanced physics-inspired AI models, processing massive data streams at high throughput.

- Planet Labs is adopting IGX Thor to transform terabytes of multidimensional satellite data into actionable intelligence in orbit, at lower costs.

Industrial AI requires production-ready systems, multimodal sensors and reliable actuators. To this end, Analog Devices, Infineon, NXP Semiconductors, STMicroelectronics and Texas Instruments are integrating radar devices, sensors and motor controllers into the NVIDIA Isaac Sim framework and using NVIDIA Holoscan Sensor Bridge to accelerate the integration of next-generation sensors and actuators for faster, safer and smarter physical AI systems.

Leopard Imaging, D3 Embedded, Sensing and e-con Systems have introduced Ethernet-based camera modules powered by Holoscan Sensor Bridge, enabling low-latency sensor data streaming directly to the GPU for real-time AI processing.

Advantech, ASRockRack, NEXCOM, Connect Tech, Onyx, Inventec and Yuan are building industrial-grade and medical-grade IGX Thor systems with enterprise performance, flexible input-output and custom configurations for different applications.

Barco, Cosmo and XRlabs are adopting IGX Thor and NVIDIA Holoscan to build medical-grade, off-the-shelf edge AI platforms for the medtech industry, enabling device manufacturers to accelerate development and deploy production-ready, medical-certified clinical solutions using NVIDIA’s full-stack accelerated computing and AI software.

IGX Thor developer kits are available for purchase from distribution partners worldwide. The IGX T5000 module for embedded systems with functional safety and IGX 7000 board kit for high-performance workstations will be available later.

Hashtags: #GTC, #GTC2026

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