Compute Setup

x86 Platforms

Prepare a NVIDIA-powered platform with the following minimum specs:
- Ubuntu 20.04+
  - Experimental: WSL2 on Windows 11
- 16 GB general RAM
- Discrete NVIDIA GPU with the following specs:
  - supports CUDA 11.8 with Volta or newer
  - minimum 8GB of VRAM and recommended 12GB+
Install Docker from official instructions (here)
Install the latest NVIDIA GPU Driver from official instructions (here)

Jetson Platforms

Install Jetpack including the nvidia-container package.
After boot, confirm that you have installed Jetpack 5.1.2 by running the following command. Confirm that the output has the terms R35 (release), REVISION: 4.1.
```
cat /etc/nv_tegra_release
```
Run the following command to set the GPU and CPU clock to max. See Maximizing Jetson Performance for more details.
```
sudo /usr/bin/jetson_clocks
```
Run the following command to set the to power to MAX settings. See Power Mode Controls for more details.
```
sudo /usr/sbin/nvpmodel -m 0
```

Add your user to the docker group.

sudo usermod -aG docker $USER
newgrp docker

Setup Docker.

From the official Docker install instructions (here), install the docker-buildx-plugin.

# Add Docker's official GPG key:
sudo apt-get update
sudo apt-get install ca-certificates curl gnupg
sudo install -m 0755 -d /etc/apt/keyrings
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
sudo chmod a+r /etc/apt/keyrings/docker.gpg

# Add the repository to Apt sources:
echo \
"deb [arch="$(dpkg --print-architecture)" signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
"$(. /etc/os-release && echo "$VERSION_CODENAME")" stable" | \
sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
sudo apt-get update

sudo apt install docker-buildx-plugin

Consider adding more storage to your Jetson for a better experience: Developer Environment Setup for Jetson