CubelaPetarandClaude Opus 5
e7ef29c5d5
The gpu role pinned nvidia-driver-580-server (proprietary kernel modules). Those install and load cleanly on the RTX PRO 6000, but the GPU never initialises: NVRM fails at RmInitAdapter (0x22:0x56:897) and nvidia-smi reports "No devices were found". Blackwell (10de:2bb5) requires the open kernel modules. - defaults/main.yml: nvidia-driver-580-server -> 595-server-open. The "-open" part is the actual fix and is version independent. 595 is the newest -server branch in the 24.04 archive (610 is desktop only); projektplan §5.3 asked for the branch to be re-checked and pinned at install time, which had not happened yet. Caveat noted in the file: 595 ships from multiverse, 580/590 from restricted. - tasks/main.yml: install_recommends: false, keeps nvidia-settings and its GTK chain off a headless server (~65 packages). - manuals/20260714-nvidia-driver-install.md: same command, documents the open-module requirement and the failure signature. - SETUP.md: tick off the completed OS install steps. Verified on phy-z-srv-gpu01: driver 595.71.05, CUDA 13.2, RTX PRO 6000 Blackwell at 00000001:5C:00.0 with 97887MiB visible, no NVRM errors in dmesg, single DKMS version registered. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
17 lines
936 B
YAML
17 lines
936 B
YAML
---
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# Driver pinned explicitly (projektplan §5: re-check the branch at install time).
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# 595 is the newest "-server" branch in the Ubuntu 24.04 archive; 610 is desktop
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# only. MUST be the "-open" variant: Blackwell (PCI ID 10de:2bb5) is not
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# supported by the proprietary kernel modules — the closed package installs and
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# loads fine but fails at RmInitAdapter, so nvidia-smi reports "No devices were
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# found". Note 595 lives in multiverse, while 580/590 are in restricted.
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nvidia_driver_package: nvidia-driver-595-server-open
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# CUDA apt repository keyring (Ubuntu 24.04)
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nvidia_cuda_keyring_url: https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/x86_64/cuda-keyring_1.1-1_all.deb
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# The full CUDA toolkit on the host is NOT needed for Docker-based workloads
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# (driver + container toolkit suffice). Enable only for compiling on the host.
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nvidia_install_cuda_toolkit: false
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nvidia_cuda_toolkit_package: cuda-toolkit
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