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Product profile

Jetson Thor

Jetson Thor is NVIDIA edge-AI computer platform for physical robotics and humanoids. It provides high-performance onboard compute for running vision-langua...

Facts

Company
NVIDIA
Product type
component
Status
commercial
Website
https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-thor/

About Jetson Thor

Jetson Thor is an embedded-compute family built around NVIDIA’s Blackwell GPU and Arm Neoverse CPU architecture. The T5000 module provides up to 2,070 FP4 teraflops and 128 gigabytes of memory within a configurable 40–130-watt power range, while the T4000 provides a lower-power 64-gigabyte configuration.

High-speed Ethernet, camera interfaces, programmable vision acceleration and Multi-Instance GPU support allow perception, generative models and lower-level robot workloads to run concurrently with isolated resources. The developer kit provides a carrier board and storage for prototyping, while production modules are integrated into customer machines. Jetson software connects Thor to Isaac, GR00T, Holoscan and wider CUDA-based robotics workflows.

Market context

compute_module, official_or_source_visual, e92778e6ed37475c5f07a5d868eb52a0c8dc56d098c5b76616dfbe4b8c0743d6, https://www.nvidia.com/content/nvidiaGDC/us/en_US/autonomous-machines/embedded-systems/jetson-thor/_jcr_content/root/responsivegrid/nv_container_copy/nv_container_1143095/nv_container_852351204/nv_image.coreimg.jpeg/1773669305914/jetson-thor-highlights-ari-1920x1080.jpeg, supply_chain, clean_photo_or_studio_fallback, edge_ai_compute, https://zlsbkmaixmmnjrgpkcyp.supabase.co/storage/v1/object/public/robotics_assets/products/nvidia/nvidia-jetson-thor-official-20260523.jpg, Existing product image is already clean and suitable; generation skipped., 2026-06-02, 2026-05-23, clean_existing_product_media

Summary

Type: AI computer

Core: Edge AI compute

Function: Inference

Audience: Robot OEMs

Specifications

ai_performance
Up to 2070 TFLOPS FP4 sparse
architecture
NVIDIA Blackwell GPU-based edge AI compute platform
camera_io
HSB camera via QSFP slot, USB camera, up to 20 cameras via HSB, up to 6 cameras through 16 lanes MIPI CSI-2, up to 32 cameras using virtual channels
cpu
14-core Arm Neoverse-V3AE 64-bit CPU
cpu_max_frequency
2.6 GHz
deployment
Onboard physical-AI and humanoid robotics compute
display
Developer kit: HDMI 2.0b and DisplayPort 1.4a
gpu
2560-core NVIDIA Blackwell architecture GPU with fifth-generation Tensor Cores and MIG
mechanical
Developer kit: 243.19 x 112.40 x 56.88 mm; module: 100 x 87 mm with 699-pin B2B connector
memory
128 GB 256-bit LPDDR5X
memory_bandwidth
273 GB/s
msrp
Jetson AGX Thor Developer Kit $3,499.00; NVIDIA Marketplace page marked out of stock USD
networking
Developer kit: 1x 5GbE RJ45 and 1x QSFP28 (4x 25GbE); T5000 module: 4x 25GbE
pcie
Developer kit: M.2 Key M x4 PCIe Gen5 and M.2 Key E x1 PCIe Gen5
power_range
40 W to 130 W
software_stack
NVIDIA Isaac platform, GR00T workflows, Holoscan sensor processing and Jetson Linux ecosystem
storage
1 TB NVMe M.2 Key M slot on developer kit; module supports NVMe through PCIe and SSD through USB 3.2
usb
Developer kit: 2x USB-A 3.2 Gen2 and 2x USB-C 3.1

Operations

Product detail
compute_module, official_or_source_visual, e92778e6ed37475c5f07a5d868eb52a0c8dc56d098c5b76616dfbe4b8c0743d6, https://www.nvidia.com/content/nvidiaGDC/us/en_US/autonomous-machines/embedded-systems/jetson-thor/_jcr_content/root/responsivegrid/nv_container_copy/nv_container_1143095/nv_container_852351204/nv_image.coreimg.jpeg/1773669305914/jetson-thor-highlights-ari-1920x1080.jpeg, supply_chain, clean_photo_or_studio_fallback, edge_ai_compute, https://zlsbkmaixmmnjrgpkcyp.supabase.co/storage/v1/...

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