How to Install NVIDIA Container Toolkit with Docker on Ubuntu 26.04




Who This Guide Is For

This tutorial assumes you're setting up a bare-metal or VPS server with an NVIDIA GPU (RTX, A100, H100, L40S, etc.) for AI/ML, video processing, or general CUDA workloads, and you already have basic comfort with the Linux command line. If you're provisioning a fresh dedicated GPU server, this is typically one of the first things you'll configure after the OS install.

Prerequisites

Before starting, confirm the following:

  • Ubuntu 26.04 installed (server or desktop edition)

  • Root or sudo access

  • An NVIDIA GPU physically installed and recognized by the system

  • Docker Engine installed (we'll cover this below if it isn't yet)

  • A stable internet connection to pull packages and container images

Step 1: Confirm Your GPU Is Detected

Before touching drivers or Docker, confirm the system actually sees the GPU at the hardware level:

bash
lspci | grep -i nvidia

You should see output listing your GPU model (for example, an RTX 4090 or an H100 SXM). If nothing returns, stop here — this is a hardware or BIOS/passthrough issue, not a software one, and installing the toolkit won't help until the card is visible to the OS.

Read the terminal guide: 
 https://www.gtzhost.com/tutorials/howto/install-nvidia-container-toolkit-docker-ubuntu-26-04/ 

Comments

Popular posts from this blog