Which is compatible version of jetson nano, jatpack 6.0?

Robotics & Edge Computing Jetson & Embedded Systems Jetson Nano
1 
PyTorch v2.2.0

* JetPack 6.0 DP (L4T R36.2.0)
  * Python 3.10 - [`torch-2.2.0a0+6a974be.nv23.11-cp310-cp310-linux_aarch64.whl` ](https://developer.download.nvidia.cn/compute/redist/jp/v60dp/pytorch/torch-2.2.0a0+6a974be.nv23.11-cp310-cp310-linux_aarch64.whl)

PyTorch v2.1.0

* JetPack 6.0 DP (L4T R36.2.0)
  * Python 3.10 - [`torch-2.1.0-cp310-cp310-linux_aarch64.whl` ](https://nvidia.box.com/shared/static/0h6tk4msrl9xz3evft9t0mpwwwkw7a32.whl) (USE_DISTRIBUTED=on)

I installed following torch on jetson, jetpack 6.0
but can not find the right torchvision version?

2

The latest JetPack version to support Jetson Nano is JetPack 4.6.4. you can check JetPack Archive | NVIDIA Developer

3

I am curious, do you really have a Nano, or is it an Orin Nano? The two are very very different. The older and less expensive Nano is a TX1 in DIMM format. The Orin version can run from a JetPack 6.x install (which installs L4T R36.x), but the older Nano can only be installed by JetPack 4.x (L4T R32.x).

4

Its Orin

5

This particular forum is for the older Nano, here is the one for Orin Nano:
https://forums.developer.nvidia.com/c/agx-autonomous-machines/jetson-embedded-systems/jetson-orin-nano/632

This also changes which JetPack can be used. The Orin Nano (but not the Nano) can use JetPack 5 or 6 on an Ubuntu 20.04 or 22.04 host PC. L4T is what actually gets flashed (which in turn is just Ubuntu plus NVIDIA drivers), and is tied to the JetPack release, so you could select either L4T R35.x (JetPack 5.x) or L4T 36.x (JetPack 6.x). See this release version chart:
https://developer.nvidia.com/linux-tegra

Do switch to the Orin Nano forum since the releases and availability of software is far different than that of the older Nano.

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