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[#](https://docs.nvidia.com/ucf/2.10.0/text/UCS_Requirements.html#development-system "Link to this heading") ------------------------------------------------------------------------------------------------------------------------------ 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](https://docs.nvidia.com/ucf/2.10.0/text/tools_reference/UCS_Tools_Reference_Studio.html#remote-access) only 2 (Alpha) Need Vulkan support ([Intel Iris Graphics 540 or later](https://www.intel.ca/content/www/ca/en/support/articles/000005524/graphics.html)) These instructions require Ubuntu Server LTS 22.04 on your system. Install the Ubuntu Operating System[#](https://docs.nvidia.com/ucf/2.10.0/text/UCS_Requirements.html#install-the-ubuntu-operating-system "Link to this heading") ---------------------------------------------------------------------------------------------------------------------------------------------------------------- Download the Ubuntu Server from [http://cdimage.ubuntu.com/releases/22.04/release/](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[#](https://docs.nvidia.com/ucf/2.10.0/text/UCS_Requirements.html#install-cuda-drivers "Link to this heading") ---------------------------------------------------------------------------------------------------------------------------------- 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](https://developer.nvidia.com/cuda-downloads.md?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: +---------------------------------------------------------------------------------------+ | NVIDIA-SMI 535.104.05 Driver Version: 535.104.05 CUDA Version: 12.2 | |-----------------------------------------+----------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+======================+======================| | 0 NVIDIA GeForce RTX 4090 On | 00000000:65:00.0 Off | Off | | 0% 30C P8 5W / 450W | 133MiB / 24564MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ +---------------------------------------------------------------------------------------+ | 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[#](https://docs.nvidia.com/ucf/2.10.0/text/UCS_Requirements.html#install-docker-ce "Link to this heading") ---------------------------------------------------------------------------------------------------------------------------- 1. Set up the repository and update the apt package index: $ sudo apt-get update 1. 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 1. Add Docker’s official GPG key: $ curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add - 1. 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) sub rsa4096 2017-02-22 [S] 1. 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" 1. Install Docker Engine - Community Update the apt package index: $ sudo apt-get update 1. Install Docker Engine: $ sudo apt-get install -y docker-ce docker-ce-cli containerd.io 1. 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/](https://docs.docker.com/install/linux/docker-ce/ubuntu/). Install NVIDIA Container Toolkit[#](https://docs.nvidia.com/ucf/2.10.0/text/UCS_Requirements.html#install-nvidia-container-toolkit "Link to this heading") ---------------------------------------------------------------------------------------------------------------------------------------------------------- 1. 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 1. Update the package index: sudo apt update 1. Install NVIDIA Container Toolkit: sudo apt-get install -y nvidia-docker2 1. Update the Docker Default Runtime. 2. 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" } 1. Execute these commands to restart the docker daemon: sudo systemctl daemon-reload && sudo systemctl restart docker 1. Validate docker default runtime. 2. 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[#](https://docs.nvidia.com/ucf/2.10.0/text/UCS_Requirements.html#install-helm "Link to this heading") ------------------------------------------------------------------------------------------------------------------ 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](https://github.com/helm/helm/releases) and the [Installing Helm guide](https://helm.sh/docs/using_helm/#installing-helm) for more information. Links/Buttons: - [#](https://docs.nvidia.com/ucf/2.10.0/text/UCS_Requirements.html#install-helm) - [remote access](https://docs.nvidia.com/ucf/2.10.0/text/tools_reference/UCS_Tools_Reference_Studio.html#remote-access) - [Intel Iris Graphics 540 or later](https://www.intel.ca/content/www/ca/en/support/articles/000005524/graphics.html) - [http://cdimage.ubuntu.com/releases/22.04/release/](http://cdimage.ubuntu.com/releases/22.04/release/) - [https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=22.04&target_type=deb_local](https://developer.nvidia.com/cuda-downloads.md?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=22.04&target_type=deb_local) - [https://docs.docker.com/install/linux/docker-ce/ubuntu/](https://docs.docker.com/install/linux/docker-ce/ubuntu/) - [release notes](https://github.com/helm/helm/releases) - [Installing Helm guide](https://helm.sh/docs/using_helm/#installing-helm)