Category: AI-ML

Any Linux distro on NVIDIA Jetson Orin with JetPack 6

NVIDIA has just released the Jetpack 6 Developer Preview for the NVIDIA Jetson Orin hardware. The thing that is most exciting about this release is they finally support the ability to use upstream kernels and other Linux distributions. This means you can start to use both RHEL (9.3 and later) and Fedora on the Jetson Orin hardware! This has been a LONG time coming, something I’ve been involved with for 5 years!

So while this is a developer preview, AKA public Beta, it’s still very usable and for people that are interested in using other Linux distributions now is the time to get stuck in. Like all things it’s not perfect and there’s still work to be done, but many hands do make light work!

You start by downloading the BSP from there you can follow the following instructions and you should end up with a device you can easily install Fedora 39 or RHEL 9.3 or other distros with the appropriate bits enabled.

To flash the firmware you need to follow the Orin AGX guide for recovery and cabling, for Orin NX/nano you need to use the HW pins near the mSD card, to put the device in recovery mode and cabling then do the following for Orin AGX:

$ tar zvf Jetson_Linux_R36.2.0_aarch64.tbz2
$ cd Linux_for_Tegra/
$ lsusb|grep -i nv
Bus 003 Device 044: ID 0955:7045 NVIDIA Corp. [unknown]
Bus 003 Device 045: ID 0955:7023 NVIDIA Corp. [unknown]
$ sudo ./flash.sh p3737-0000-p3701-0000-qspi external
removed a lot of output
*** The target generic has been flashed successfully. ***
Make the target filesystem available to the device and reset the board to boot from external external.
$

The command for other Orin devices such as NX and Nano will be similar, you’ll just have to swap the p3737 variable, eg for Orin Nano use: sudo ./flash.sh p3737-0000-p3701-0000-qspi external.

Once the flash completes the device will reboot and you will be able to use the usual mechanisms to install your OS, whether the RHEL or Fedora installers or a Fedora Arm image. I’ve tested running OSes off both the microSD and a NVME card, plus installing off USB, the DisplayPort output should work in EFI console mode. The firmware is based upon the widely known TianoCore/EDK2 so the firmware interface should be straight forward. For those that may need a serial console if it’s not automatically detected you can use console=ttyAMA0,115200, This runs off the microUSB port on /dev/ttyACM2 on the host device.

For hardware vendors that have hardware based on the NVIDIA Orin hardware they will be able to adopt and make this available to their customers that may wish to run distributions other than L4T. If they are unsure feel free to reach out to me in the usual locations.

Getting started with OpenCL using mesa/rusticl

Mesa, the open source low level graphics stack, has featured support for Open Compute Language (OpenCL) for some time via a front end called Clover. The problem was that the GPUs that it supported were limited, it didn’t have Image support, and wasn’t really under active development. Around a year ago Karol Herbst filed a merge request adding rusticl to Mesa 22.3 release, and soon after that I enabled it optionally in Fedora.. What is rusticl? It’s a OpenCL API implementation written in rust for Mesa, it will eventually replace clover. One advantage it has is image support from the outset and also works on much wider range of OpenCL capable GPUs, including some ARM GPUs, and the support is actively improving all the time.

In the year since it landed in a stable mesa release rusticl keeps evolving, faster, more HW support, more features, less crashes. I’ve tinkered with it as I’ve had spare time on the weekends and evenings as well as trying to work out details of how you’d use it to run higher level stacks.

As of writing it works with following gallium drivers: iris (Intel), nouveau (Nvidia), radeonsi/r600 (AMD ATI), and panfrost (Arm MALI). There’s other drivers that are various stages of development but are not yet upstream.

So let’s get the basics up and running on Fedora if you have supported hardware. First install the core software stack:

$ sudo dnf install -y mesa-libOpenCL mesa-dri-drivers spirv-llvm-translator spirv-tools-libs clinfo clpeak

Next we run clinfo and clpeak with required parameters, from the driver names above (in this case an Intel laptop), to enable rusticl. The two commands output a lot of information so I’m not going to post them here but the output shows OpenCL running and some details about what’s supported:

$ RUSTICL_ENABLE=iris clinfo --list
WARNING: OpenCL support via iris+clover is incomplete.
For a complete and conformant OpenCL implementation, use
https://github.com/intel/compute-runtime instead
Platform #0: rusticl
 `-- Device #0: Mesa Intel(R) Xe Graphics (TGL GT2)
Platform #1: Portable Computing Language
 `-- Device #0: cpu-11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz
Platform #2: Clover
$ RUSTICL_ENABLE=iris clinfo
output a lot of details
$ RUSTICL_ENABLE=iris clpeak
output a lot of details

This gets up the basic pieces up and running for OpenCL, there’s of course more to do and not all use cases are complete. Eventually we won’t need to have the environment variables to enable rusticl. The details of drivers and other features enabled by environment variables are documented here. I plan to do some more posts as follow ups to build on this basis.