A Compact Powerhouse for Physical AI and Robotics The NVIDIA® Jetson AGX Thor™ Developer Kit gives you unmatched performance and scalability. It’s powered by the NVIDIA Blackwell GPU and 128 GB of memory, delivering up to 2070 FP4 TFLOPS of AI compute to effortlessly run the latest generative AI models—all within a 130 W power envelope. Compared to NVIDIA Jetson AGX Orin™, it provides up to 7.5x higher AI compute and 3.5x better energy efficiency. Jetson AGX Thor helps you accelerate low-latency, real-time applications with the new Blackwell Multi-Instance GPU (MIG) technology and a robust 14-core Arm® Neoverse®-V3AE CPU. It also includes a suite of accelerators, including a thirdgeneration Programmable Vision Accelerator (PVA), dual encoders and decoders, an optical flow accelerator, and more. For high-speed sensor fusion, the developer kit offers extensive I/O options, including a QSFP slot with 4x25 GbE, a wired Multi-GbE RJ45 connector, multiple USB ports, and additional connectivity interfaces. Plus, it’s designed for seamless integration with existing humanoid robot platforms, allowing for easy tethering to jumpstart prototyping
Jetson AGX Thor belongs to a new class of robotic computers, architected from the ground up to power next-generation humanoid robots. It supports a wide range of generative AI models, from Vision Language Action (VLA) models like NVIDIA Isaac™ GR00T N to all popular LLMs and VLMs. To deliver a seamless cloud-to-edge experience, Jetson AGX Thor runs the NVIDIA AI software stack for physical AI applications, including NVIDIA Isaac for robotics, NVIDIA Metropolis for visual agentic AI, and NVIDIA Holoscan for sensor processing. You can also build AI agents at the edge using NVIDIA agentic AI workflows like Video Search and Summarization (VSS).
Explore full Jetson Thor documentation and resources — visit NVIDIA Developer.
Specification | Details |
Module | Jetson T5000 |
AI Performance | 2070 TFLOPS (FP4 — sparse) |
GPU |
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CPU |
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Memory |
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Storage | 1 TB NVMe, M.2 Key M slot |
Video Encode |
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Video Decode |
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Power | 40 W – 130 W |
Category | Reference Carrier Board |
Camera |
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PCIe |
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USB |
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Networking |
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Display |
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Other I/O |
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Mechanical |
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Predicted Available Time | Sep 30, 2025 |
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