NVIDIA Jetson Nano Developer Kit specs & datasheets
NVIDIA’s $99 AI board of 2019: four Cortex-A57 cores and a 128-core Maxwell GPU with 4 GB of RAM, for running neural networks at the edge.
_(cropped).jpg){kind=link}
- Chip / SoC
- NVIDIA Tegra X1 (T210)
- CPU
- 4 × Arm Cortex-A57
- Clock
- 1.43 GHz
- RAM
- 4 GB LPDDR4 (a 2 GB kit followed in 2020)
- Storage
- microSD card
- I/O voltage
- 3.3 V
- Released
- March 2019
- Status
- Retired
Draft entry: these specs were compiled from the linked sources and are waiting for a second check. Spotted a mistake? Use the form at the end of the page.
Specifications
Can I still use it?
- Mainline Linux
- Supported[4]A device tree for this board is in the mainline kernel; features may still be missing.
As published by each project, checked weekly. A platform not listed has no published information here, which is not the same as no support.
Datasheets and documents
Gotchas
- Stuck on an old Ubuntu. Official JetPack support for the Nano stopped at the 4.x series based on Ubuntu 18.04; newer CUDA and frameworks need the Orin generation.[1]
- Use the barrel jack for full power. Micro-USB power cannot supply the 10 W mode; a 5 V, 4 A barrel supply with the J48 jumper fitted can.[1]
History and use today
History
Announced at NVIDIA's GTC in March 2019, the Jetson Nano brought CUDA to a $99 board and started many makers on edge AI.[2]
Still useful for
Usable for older models and robotics coursework; the Jetson Orin Nano is its supported successor.
Sources
Spotted a mistake?
Every report is read by a person and checked against a source before anything changes. Please link one if you have it.