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CubelaPetarandClaude Fable 5 43054f32b8 Add base plays for all hosts, nvidia_gpu role, GPU pre-work items

- 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>

2026-07-14 10:30:43 +02:00

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phy-z-srv-gpu01

Pre-work per projektplan (§ references below):

Write a script to analyse phytrons whole file share which should be feeded to the llm: file number, structure, pdf kind, etc. → server/phy-z-srv-gpu01/scripts/share-analysis.ps1
Run the share analysis on the Windows server; evaluate: corpus size (§1 revisit trigger), scanned-PDF/OCR share, index size estimate
Storage decision (§2.3): index estimate vs. ~960 GB usable NVMe — order extra disks before delivery if tight
Customer checklist (§2.2): AD bind account, read-only SMB service account, share include/exclude list, DNS name + TLS, internet access at install, chat-logging/GDPR (works council), maintenance ownership, concretize "other workloads"
Ansible prep (§2.4): cifs_mounts and llm_stack role skeletons (nvidia_gpu exists); fill group_vars/phy_z_srv_gpu01.yml overrides; test non-GPU parts in a throwaway VM
German eval set (§2.5): collect 20–30 Q&A with the customer — becomes the acceptance criterion
At install time: re-check and pin versions (driver / vLLM / Open WebUI / oikb / model shortlist) per re-entry checklist §5

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phy-z-srv-gpu01

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