CubelaPetarandClaude Opus 4.8
75296ce58c
- rename host/group/folder everywhere to match the server's actual hostname and physical label - share-analysis.ps1: sanitize the output filename prefix — '-Paths "D:"' produced 'D:-file-types.csv' and Export-Csv failed with 'path format not supported', so no CSVs were written - share-analysis.ps1: new -FolderDepth so folders can be aggregated at D:\Abteilungen\<Share> level, which matches the share layout - list-shares.ps1: -WithSize walks local paths instead of UNC when run on the server itself (UNC was orders of magnitude slower and looked stuck) and prints progress every 50k files Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
phy-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_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