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NVIDIA

NVIDIA Jetson Thor Developer Kit

  • Based on 31 reviews
Condition: New
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Availability: Only 3 left in stock, order soon!
Fulfilled by Amazon
Arrives Tuesday, Oct 6
Order within 6 hours and 55 minutes
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Features

  • GPU:2560-core NVIDIA Blackwell architecture GPU with 96 fifth-gen Tensor Cores
  • AI Performance:2070 TFLOPS

Description

NVIDIA Jetson Thor Developer Kit

Graphics Coprocessor: NVIDIA Blackwell GPU


Brand: NVIDIA


Graphics Ram Size: 128 GB


GPU Clock Speed: 1.57 gigahertz


Video Output Interface: DisplayPort, HDMI


Graphics Coprocessor: NVIDIA Blackwell GPU


Graphics Card Ram: 128 GB


GPU Clock Speed: 1.57 gigahertz


Video Output Interface: DisplayPort, HDMI


Graphics Ram Type: GDDR6X


Compatible Devices: Humanoid Robots, Specialized AI/robotics Systems


Graphics Card Interface: PCI-Express x16


Display Maximum Resolution: 3840 x 2160


Display Resolution Maximum: 3840x2160


Brand: NVIDIA


Video Processor: NVIDIA


Antenna Location: Artificial Intelligence, Autonomous Machines, Edge Computing, Generative AI, Humanoid Robotics, Industrial Automation, Physical AI, Robotics, Vision AI


Built-In Media: Information Not Available


Model Name: Jetson Thor Developer Kit


Graphics Description: NVIDIA Blackwell GPU, 128 GB graphics memory


Unit Count: 1 Count


Number of Packs: 1


Manufacturer: NVIDIA Corporation


Number of Items: 1


UPC: 810152850435


Item Weight: 6.5 pounds


Model Number: 945-14070-0080-000


Mfr Part Number: 945-14070-0080-000


Warranty Description: 1 year warranty for development use only


Frequently asked questions

If you place your order now, the estimated arrival date for this product is: Tuesday, Oct 6

Yes, absolutely! You may return this product for a full refund within 30 days of receiving it.

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Top Amazon Reviews

    • Slow bandwidth, still amazing
Writing this June 23rd 2026. Anemic memory bandwidth, calibrate your expectations accordingly. It is still amazing to see things running locally and doing real work pretty much immediately.
Reviewed in the United States on June 23, 2026 by Gary
    • One to rule them all
If you are looking for a great server to help with your AI tasks, this is the one. This is the best of the best. Read the specs. The performance is a great value for your money. Nvidia did most of the heavy lifting for you. If you know what you doing, get this one. This is one of those if you know you know situations. ... show more
Reviewed in the United States on May 20, 2026 by Chris Lewis
    • Nvidia’s best
Review Image by Amazon Customer
Amazing product! Arrived fast with no issues
Reviewed in the United States on July 6, 2026 by Amazon Customer
    • It works
This device is taken by those who know why they take it. So the review “it works”.
Reviewed in the United States on April 20, 2026 by Kirill Keker
    • Expensive junk that does not work.
Does not work, flashing does not work, libraries don't work. This is an overpriced, useless junk. Get Mac mini, or Mac Studio, or just build a MicroATX, it will work better and faster.
Reviewed in the United States on April 11, 2026 by Gene
    • GPU Not Working on JetPack 7.1 - Need Help
Spent 64+ hours (4 days) flashing this device. System boots fine on JetPack 7.1 (L4T 38.4.0), but GPU is NOT detected. - nvidia-smi: "No devices found" - torch.cuda.is_available(): False - cuInit returns error 999 - Cannot run any CUDA or TensorRT SSH, VNC, camera all work. Only GPU is broken. **QUESTION FOR OTHER THOR OWNERS:** - Does YOUR GPU work? - Which JetPack version did you use? (7.0 or 7.1?) - What flash method? (USB ISO or SDK Manager?) - Any special steps after install? I see other reviews saying Thor works great. I want to make it work too before returning. $3,000 device should not require 64 hours of troubleshooting with no GPU. Please reply if you have a working Thor - what did you do differently? Will update review to 5 stars if I can fix it. Sam ... show more
Reviewed in the United States on January 12, 2026 by Eren
    • Whack-a-mole!
Observed behavior: - usbipd “endless attach loop” on a BUSID is insufficient because BUSID changes when the USB identity changes. - Device may vanish from Connected list and remain only as Persisted, indicating the USB device is not enumerating on the host (cable/port/power management sensitivity). - Host component installs (Nsight Perf SDK) fail due to missing utilities (unzip) or symlink collisions (file exists), creating false “installation failed” signals unrelated to the device wipe objective. ... show more
Reviewed in the United States on January 10, 2026 by Kim
    • Love this
This is impressive!
Reviewed in the United States on June 7, 2026 by Arthur

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