NVIDIA Jetson is a family of edge computing products for a variety of artificial intelligence deployment scenarios. These are basically mini-computers with an integrated graphic accelerator, to which the algorithms of neural network inference are accelerated.
The smallest from the Jetson family.
NEW The latest Jetson with 21 TOPS.
The most powerful Jetson for the most demanding applications.
Reasonable price/performance Jetson.
| Parametr | Jetson Nano | Jetson TX2 | Jetson TX2i | Xavier NX | AGX Xavier 8GB | AGX Xavier |
|---|---|---|---|---|---|---|
| AI výkon | 0,47 TFLOPs | 1,3 TFLOPs | 1,3 TFLOPs | 14 / 21 TOPs | 20 TOPs | 32 TOPs |
| GPU | 128-core Maxwell | 256-core Pascal | 256-core Pascal | 384-core Volta | 384-core Volta | 512-core Volta |
| Počet Tensor jader | 48 | 48 | 64 | |||
| CPU | Quad-Core ARM Cortex-A57 | Dual-Core NVIDIA Denver 2 CPU a Quad-Core ARM Cortex-A57 | Dual-Core NVIDIA Denver 2 CPU a Quad-Core ARM Cortex-A5763 | 6-core NVIDIA Carmel ARM v8.2 64-bit CPU 6MB L2 + 4MB L3 | 6-core NVIDIA Carmel ARM v8.2 64-bit CPU 6MB L2 + 4MB L3 | 6-core NVIDIA Carmel ARM v8.2 64-bit CPU 6MB L2 + 4MB L3 |
| Paměť | 4 GB | 4 GB / 8 GB | 8 GB | 8 GB | 8 GB | 32 GB |
| Uložiště | 16 GB | 16 GB / 32 GB | 32 GB | 16 GB | 32 GB | 32 GB |
| Maximální příkon | 5 / 10 W | 7,5 / 15 W | 10 / 20 W | 10 / 15 W | 10 / 20 W | 10 / 15 / 30 W |
| Wi-fi | Ne | Ne / Ano | Ne | Ne | Ne | Ne |
| Konektor | 69,6 mm × 45 mm 260-pin SO-DIMM connector | 87 mm × 50 mm 400-pin connector | 87 mm × 50 mm 400-pin connector | 69,6 mm × 45 mm 260-pin SO-DIMM connector | 100 mm × 87 mm 699-pin connector | 100 mm × 87 mm 699-pin connector |
| Uvedení na trh | březen 2019 | březen 2017 | březen 2017 | březen 2020 | prosinec 2018 | prosinec 2018 |
We thank very much Sven Stuewe from Nvidia for his support and provided information.
Other useful links
The Jetson TX1/TX2 4GB/TX2/TX2i have the same connector/interface and carrier board they connect to (which will provide the Jetson with the necessary connectors), so it can be the same for all these models.
Jetson Nano and Jetson AGX Xavier have their own carrier board (electrically and mechanically).
As of April 15, 2019, the SW platform is the same for all Jetson products – Nano, TX2/TX2i, Jetson AGX Xavier.
Main portal for Nvidia Jetson (Embedded) products:
The Download section contains a lot of technical information and specifications, including power and cooling requirements, etc.
JetPack:
JetPack is a simple installer that performs BSP installation and all other related SDKs (CUDA, cuDNN, TensorRT, VisionWorks). A software patch is available on the Jetson NX Xavier and is directly supported from JetPack 4.4 onwards.
Devblog on Jetson Nano: https://devblogs.nvidia.com/jetson-nano-ai-computing/
Jetbot: https://github.com/NVIDIA-AI-IOT/jetbot
Jetson FAQ, including information about TX2 vs TX2i MTBF: https://developer.nvidia.com/embedded/faq
Jetson module availability (lifecycle): https://developer.nvidia.com/embedded/community/lifecycle
NVIDIA cuDNN: https://developer.nvidia.com/cudnn
NVIDIA Tensor RT: https://developer.nvidia.com/tensorrt
Deepstream 4.0 : https://developer.nvidia.com/deepstream-sdk
Transfer Learning and pruning: https://developer.nvidia.com/transfer-learning-toolkit
Deepstream plugins: https://github.com/vat-nvidia/deepstream-plugins
Blog on Deepstream 3.0: https://devblogs.nvidia.com/intelligent-video-analytics-deepstream-sdk-3-0/
Jetson Nano Developer Kit
Jetson AGX Xavier Developer Kit
The Deep Learning Institute (DLI) offers practical online and hands-on training for developers, data analysts or researchers who want to tackle challenges in artificial intelligence (AI). Among other things, it also offers a great Getting Started with Jetson Nano course(provided free by NVIDIA):
Code samples on Dustin github: https://github.com/dusty-nv
Tutorial on how to create a DL demo: https://developer.nvidia.com/embedded/twodaystoademo
Interesting presentations from GTC US 2017:
We have a wide range of NVIDIA GPU cards available for performance testing and heavy-duty processing.
If you are interested in our testing offer, please fill out this form.
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