30 shares, 2128 GB, 3.11M files. Corrects the earlier EDV assessment (446 GB / 64k files = installers, not documents) and records that Zeichnungen measured empty. Excluding the obvious shares still leaves 2.08M files, so filtering must continue at subfolder level. 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