NVIDIA Jetson Thor series modules give you the ultimate platform for physical AI and robotics, delivering up to 2070 FP4 TFLOPS of AI compute and 128 GB of memory with power configurable between 40 W and 130 W. They deliver over 7.5x higher AI compute than NVIDIA AGX Orin , with 3.5x better energy efficiency.
The NVIDIA Blackwell-powered robotics supercomputer delivers 2,070 FP4 teraflops to tackle complex applications including agentic AI, high-speed sensor processing and humanoid robotics tasks.
Accelerate generative AI and large transformer models at the edge with the 2070 FP4 TFLOPS Blackwell GPU.
Discover a solution designed for humanoid robotics and physical AI applications, powered by the NVIDIA Isaac platform and GR00T foundational models.
Ingest high-speed sensor data for real-time performance with 4x 25 GbE networking, a camera offload engine, and a Holoscan Sensor Bridge.
Deliver end-to-end safety and security across the compute platform, AI models, and the entire edge-to-cloud pipeline.
Jetson Thor gives you the performance you need for real-time control and multi-sensor processing, while GR00T's comprehensive AI software stack supports a wide range of generative AI models and seamless cloud-to-edge integration. Together, they offer a powerful, integrated solution that accelerates the development and deployment of sophisticated humanoid robots, making them more adaptable, responsive, and capable.
With its powerful NVIDIA Blackwell GPU, Multi-Instance GPU (MIG) technology, and suite of accelerators, Jetson Thor can handle real-time video data streaming and AI inference. This makes it ideal for building AI agents that can perform VSS tasks at the edge. Using advanced vision and language models allows for the creation of robust visual AI agents that can take on complex video workflows.
NVIDIA Holoscan accelerates edge AI development by getting sensor data to the GPU for real-time inference. Build and streamline your end-to-end sensor-processing pipelines with high-performance, user-friendly programming options and production readiness, and deploy seamlessly cloud-to-edge on Jetson Thor. The NVIDIA Holoscan Sensor Bridge is a sensor-over Ethernet technology, designed to enable real-time data streaming and simplify high-speed sensor fusion and actuator integration on NVIDIA edge AI platforms.
Jetson Thor delivers unmatched performance and scalability, accelerating low-latency, real-time multi-sensor applications. This makes it ideal for running the latest generative AI models. Jetson Thor modules support a wide range of generative AI models, from VLA (Vision Language Action) models to popular LLMs (Large Language Models) and VLMs (Vision-Language Models), ensuring seamless cloud-to-edge integration.