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:
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.
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