CubelaPetarandClaude Fable 5
43054f32b8
- run.yml: base plays (geerlingguy.security) for jira and git; gpu01 play with security + docker + nvidia_gpu - roles/nvidia_gpu: driver pinned >=580 (Blackwell), CUDA repo, container toolkit incl. the nvidia-ctk runtime configure step - manuals/20260714-nvidia-driver-install.md: dated per convention, corrected (pinned -server driver instead of autoinstall+cuda-drivers mix, toolkit optional, added missing nvidia-ctk/docker restart step) - gpu01 folder: planning docs under notes/, runbooks under manuals/, scripts/; convention documented in CLAUDE.md - scripts/share-analysis.ps1: read-only SMB share analysis for the Windows server (projektplan §2.1) - TODO.md: Phase-0 pre-work items from the projektplan Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
82 lines
2.5 KiB
Markdown
82 lines
2.5 KiB
Markdown
# Manual nvidia driver, cuda repo and container toolkit
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Automated by the Ansible role `ansible/roles/nvidia_gpu` — this manual documents the steps.
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**Disable Secure Boot in BIOS first** (unsigned kernel modules won't load otherwise).
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## NVIDIA driver
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Check if GPUs are recognized by the base OS:
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```bash
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sudo lspci | grep -i nvidia
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```
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Which should show some output if it finds nvidia devices.
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Search for available drivers for your GPUs:
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```bash
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sudo ubuntu-drivers devices
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```
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Install the driver pinned. The RTX PRO 6000 (Blackwell) needs **driver >= 580**;
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use the `-server` variant and prefer a pinned install over `ubuntu-drivers autoinstall`
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so the choice is explicit and reproducible (re-check for a newer branch at install time):
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```bash
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sudo apt install -y nvidia-driver-580-server
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```
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> Note: do **not** additionally install `cuda-drivers` from the NVIDIA repo —
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> that would mix the Ubuntu-archive driver with the NVIDIA-repo driver and the
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> two can conflict. Pick one source; we use the Ubuntu archive.
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Reboot the system for changes to take effect:
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```bash
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sudo reboot
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```
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Show GPU stats with:
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```bash
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nvidia-smi
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```
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## CUDA repository (toolkit optional)
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Add the NVIDIA CUDA apt repository:
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```bash
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wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/x86_64/cuda-keyring_1.1-1_all.deb
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sudo dpkg -i cuda-keyring_1.1-1_all.deb
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sudo apt update
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```
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The full CUDA toolkit is **not needed** for Docker-based workloads (vLLM etc. —
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the driver plus container toolkit suffice). Only if compiling on the host:
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```bash
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sudo apt install -y cuda-toolkit # meta package, pulls the current release
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```
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## Container toolkit
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Install the Nvidia Container toolkit:
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```bash
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curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
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&& curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
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sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
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sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
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sudo apt update
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sudo apt install -y nvidia-container-toolkit
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```
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Configure Docker to use the NVIDIA runtime (writes `/etc/docker/daemon.json`) and restart it —
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without this step `docker run --gpus all` fails:
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```bash
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sudo nvidia-ctk runtime configure --runtime=docker
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sudo systemctl restart docker
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```
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Test a simple cuda container and nvidia-smi command inside:
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```bash
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docker run --rm --gpus all nvidia/cuda:13.0.0-base-ubuntu24.04 nvidia-smi
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```
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