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NVIDIA Jetson Thor FAQs Everyone Must Know

  • Writer: Marco Madrigal
    Marco Madrigal
  • Aug 11
  • 3 min read

Updated: Aug 12

NVIDIA Jetson Thor

  1. What is NVIDIA Jetson Thor?


Jetson Thor is NVIDIA’s new supercharged embedded AI platform, delivering up to 2070 FP4 TFLOPS using the Blackwell GPU. It's designed for robotics, autonomous machines, and medical devices that need real-time and generative AI capabilities at the edge.



  1. How does NVIDIA Jetson Thor compare to Jetson AGX Orin?


  • 7.5× AI compute

  • 3.5× energy efficiency

  • 2.6× CPU performance

  • Up to 130W (Compared with 60W of Jetson Orin AGX)

  • Hardware support for Large Language Models (LLM)


 Jetson Thor brings massive leaps over Orin, with newer GPU architecture, MIG support, and up to 128 GB memory.



  1. What’s new in Thor’s architecture?


  • Blackwell GPU with transformer engine

  • 14-core Arm Neoverse-V3AE CPU

  • MIG (Multi-Instance GPU) for parallel workloads

  • 4× 25 GbE for sensor fusion

  • JetPack 7 optimized stack with Linux 6.8 and CUDA 13

  • 128GB of memory to enable LLM inference and complex models



  1. How much does the Jetson Thor cost?


  • Jetson AGX Thor cost is $3499.



  1. Where can I buy the NVIDIA Jetson Thor?


  • You can purchase the NVIDIA Jetson Thor from Arrow



  1. What use cases is Thor built for?


  • Humanoid robotics

  • Autonomous mobile machines

  • Surgical robots and medical instruments

  • Vision AI agents for industrial inspection

  • Generative AI at the edge

  • Many other applications that require high compute capabilities at the edge!



  1. Why is Jetson Thor ideal for humanoid robotics?


Thor supports real-time sensor fusion, large vision-language models (VLM), LLMs, and robot control logic (VLA). Its performance allows multi-agent cognition and perception onboard. Additionally, with the addition of Holoscan Sensor Bridge you can get very low latency video capture directly to memory. 



  1. How does Thor help in automotive applications?


NVIDIA Jetson Thor enables:


  • Real-time sensor processing

  • Transformer-based perception

  • Multi-functional cockpit AI

  • Consolidation of ADAS, DMS, and IVI on one system

  • Thor integrates seamlessly with LLMs to operate as part of your automotive infotainment system.



  1. How is NVIDIA Jetson Thor used in healthcare with Holoscan?


  • Low-latency ingestion with Holoscan Sensor Bridge

  • 11 ms latency for 4× 4K video streams

  • Replaces multi-Orin setups with a single Thor module

  • Ideal for surgical robots, imaging, and medical edge AI



  1. What does Thor enable for Vision AI systems?


  • 4× video stream throughput

  • Up to 6× improvement in Vision Foundation Model inference

  • AI-powered alerting and video summarization with VSS + VLM



  1. How does it compare to NVIDIA DGX Spark?


Use DGX Spark for training and prototyping large models (up to 1–30 PFLOPS), and Jetson Thor for inference at the edge. They complement each other across the AI lifecycle.



  1. What is JetPack 7 and why does it matter?


JetPack 7 is the official software stack for Jetson Thor. It features:


  • PREEMPT_RT real-time kernel

  • CUDA 13, TensorRT, Triton

  • Support for GenAI frameworks (VLLM, SGLang, HuggingFace)

  • Secure boot, memory encryption, and MIG management




  1. Where can I download the Jetpack 7?


Once the NVIDIA Jetson Thor is released, you will be able to download the Jetpack 7 at:


  1. What types of AI models can run on Thor?


  • LLM: LLaMA, Qwen, DeepSeek

  • VLM: Gemini, NVILA

  • VLA: GR00T, PI0

  • Vision Transformers, CNNs, and more


  1. Where can I find the NVIDIA Jetson Thor Datasheet?


  • You can find the NVIDIA Jetson Thor datasheet here!



  1. What’s the expected power envelope?


  • Jetson Thor runs up to 130 W

  • Energy efficiency is 3.5× higher than Orin, thanks to FP4 compute



  1. Can I attach cameras to Thor?


Yes, you can use the Holoscan Sensor Bridge in the NVIDIA Dev Kit for low-latency solutions and you can use MIPI cameras in development kits from other manufacturers. Please note that the NVIDIA Dev Kit does not include support for MIPI cameras.


  1. Is NVIDIA Jetson Thor form factor compatible with Orin?


No. Thor introduces new electrical and mechanical specs. Custom carrier boards and thermal solutions are required.



  1. Can RidgeRun.ai help me adopt Thor?


Absolutely. RidgeRun.ai provides:


  • Model training, quantization, fine-tuning

  • Inference optimization (TensorRT, FP8, sparsity, MIG config)

  • VLM/VLA/LLM deployment for vision, robotics, medical, and industrial



  1. Can RidgeRun Embedded assist with hardware/software integration?


Yes, RidgeRun Embedded brings:

  • Driver development for sensors (camera, LIDAR, CAN, etc.)

  • BSP customization for custom boards

  • GStreamer pipelines for video ingest

  • Secure boot, OTA, safety features

  • Integration with Isaac, Holoscan, Metropolis SDKs



  1. Where can I get help evaluating or deploying NVIDIA Jetson Thor?


Contact RidgeRun.ai for AI strategy, model adaptation, and Jetson acceleration


Contact RidgeRun Embedded for integration, customization, and deployment

We’ll help you translate Jetson Thor’s power into a competitive product.




  1. Do you want to know more about the NVIDIA Jetson Thor?


Getting started with the NVIDIA Jetson Thor? Read more at:



Also, you can find all the NVIDIA Jetson Thor documentation at their Jetson Download Center.



And wait for our comprehensive user guides! 




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