UCS Tools Development System – NVIDIA Ubuntu 22.04 CUDA Guide

Title: Development System — UCS Tools Documentation

URL Source: https://docs.nvidia.com/ucf/2.10.0/text/UCS_Requirements.html

Published Time: Thu, 30 Oct 2025 07:23:03 GMT

Markdown Content: Development System#

The table below lists the system requirements for UCS Tools development:

Platform x86_64 OS Ubuntu 22.04 GPU CUDA-capable GPU, iGPU 1,2 Helm 3.11

1 (Alpha) With remote access only

2 (Alpha) Need Vulkan support (Intel Iris Graphics 540 or later)

These instructions require Ubuntu Server LTS 22.04 on your system.

Install the Ubuntu Operating System#

Download the Ubuntu Server from http://cdimage.ubuntu.com/releases/22.04/release/.

For more information on installing Ubuntu server, refer to the Ubuntu Server Installation Guide.

Install CUDA Drivers#

Find CUDA installation instructions at https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=22.04&target_type=deb_local.

After installing the NVIDIA Drivers, reboot the system and run this command to validate that NVIDIA drivers are loaded:

nvidia-smi

Expected Output:

+---------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=======================================================================================| | 0 N/A N/A 1119 G /usr/lib/xorg/Xorg 107MiB | | 0 N/A N/A 1239 G /usr/bin/gnome-shell 13MiB | +---------------------------------------------------------------------------------------+

Install Docker CE#

Set up the repository and update the apt package index:

$ sudo apt-get update

Install packages to allow apt to use a repository over HTTPS:

$ sudo apt-get install -y
apt-transport-https
ca-certificates
curl
gnupg-agent
software-properties-common

Add Docker’s official GPG key:

$ curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

Verify that you now have the key with the fingerprint 9DC8 5822 9FC7 DD38 854A E2D8 8D81 803C 0EBF CD88 by searching for the last 8 characters of the fingerprint:

$ sudo apt-key fingerprint 0EBFCD88

pub rsa4096 2017-02-22 [SCEA] 9DC8 5822 9FC7 DD38 854A E2D8 8D81 803C 0EBF CD88 uid [ unknown] Docker Release (CE deb) [email protected] sub rsa4096 2017-02-22 [S]

Use the following command to set up the stable repository:

$ sudo add-apt-repository
"deb [arch=amd64] https://download.docker.com/linux/ubuntu
$(lsb_release -cs)
stable"

Install Docker Engine - Community Update the apt package index:

$ sudo apt-get update

Install Docker Engine:

$ sudo apt-get install -y docker-ce docker-ce-cli containerd.io

Verify that Docker Engine - Community is installed correctly by running the hello-world image:

$ sudo docker run hello-world

Find more information on how to install Docker at https://docs.docker.com/install/linux/docker-ce/ubuntu/.

Install NVIDIA Container Toolkit#

Setup the package repository:

distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
&& curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
&& curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list |
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' |
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list

Update the package index:

sudo apt update

Install NVIDIA Container Toolkit:

sudo apt-get install -y nvidia-docker2

Update the Docker Default Runtime.
Edit the docker daemon configuration to add the following line and save the file:

"default-runtime" : "nvidia"

Example:

$ sudo nano /etc/docker/daemon.json

{ "runtimes": { "nvidia": { "path": "nvidia-container-runtime", "runtimeArgs": [] } }, "default-runtime" : "nvidia" }

Execute these commands to restart the docker daemon:

sudo systemctl daemon-reload && sudo systemctl restart docker

Validate docker default runtime.
Execute this command to validate docker default runtime as NVIDIA:

$ sudo docker info | grep -i runtime

Output:

Runtimes: nvidia runc Default Runtime: nvidia

Install Helm#

Execute this command to download and install Helm 3.11.0:

wget https://get.helm.sh/helm-v3.11.0-linux-amd64.tar.gz &&
tar -zxvf helm-v3.11.0-linux-amd64.tar.gz &&
sudo mv linux-amd64/helm /usr/local/bin/helm &&
rm -rf helm-v3.11.0-linux-amd64.tar.gz linux-amd64/

Refer to the Helm 3.11.0 release notes and the Installing Helm guide for more information.