Individual skill
tao-setup-nvidia-gpu-host
Host setup for TAO GPU backends. Checks and, after user approval, installs minimum-compatible NVIDIA driver, CUDA Toolkit, and NVIDIA Container Toolkit versions for Docker/local-Docker and Kubernetes GPU worker hosts. TAO-wide defaults can be overridden by the selected model's runtime profile. The `--check-only` path works on any Linux distribution; `--install` automates debian-family (Ubuntu/Debian/Pop!_OS/Mint/Zorin/Raspbian), rhel-family (Fedora/RHEL/Rocky/AlmaLinux), and suse-family (openSUSE/SLES) hosts, and prints actionable manual-install steps for everything else. Use when the user asks to "set up an NVIDIA GPU host", "check TAO Docker GPU runtime", or prepare a Kubernetes GPU worker for TAO.
skills/tao-setup-nvidia-gpu-host/SKILL.md
Source commit 25340619336e89bcc40365c28bfe9e790430468e
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- Last checked
- Nov 2, 2026
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- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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Read excerpt
# NVIDIA GPU Host Setup
> **Standalone install?** If this session was not initialized by the TAO skill bank plugin, run the `tao-setup` skill first (host preflight, credentials, cross-skill discovery).
Use this setup skill before TAO workflows run on the `docker`, `local-docker`,
or `kubernetes` backend. The TAO-wide default minimums are:
- NVIDIA driver `>=580` (open kernel module preferred)
- CUDA Toolkit `>=13.0`
- NVIDIA Container Toolkit `>=1.19.0`
- Docker engine — only installed for `docker` / `local-docker` backends and
only when Docker is missing. The package picked depends on the distro
family (`docker.io` on Debian-family by default, `moby-engine` /
`docker-ce` from `download.docker.com` on RHEL-family, `docker` on