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>
phy-z-srv-gpu01
GPU server for AI/ML workloads. Hardware is ordered/assessed; OS setup and configuration are the next step.
| IP | 192.168.66.69 (planned) |
| Ansible group | phy_z_srv_gpu01 |
| Status | planned — not yet configured |
Hardware
HPE ProLiant DL380 Gen12, 2× Intel Xeon 6714P (8-core, 4.0 GHz), 128 GB RAM, NVIDIA RTX PRO 6000 96 GB, 2× 960 GB NVMe SSD, redundant PSU — full BOM in HW.md.
Planning notes
- Hardware assessment (2026-07-06)
- Software assessment (2026-07-06)
- Deep dive (2026-07-07)
- Project plan for the setup (2026-07-10) — start here when the server arrives
Open pre-work items are tracked in the repo-root TODO.md.
Runbooks
- NVIDIA driver, CUDA repo & container toolkit (2026-07-14) — automated by the Ansible role
nvidia_gpu
Scripts
- share-analysis.ps1 — read-only SMB share analysis (projektplan §2.1); run on a Windows machine with read access to the shares