Files

T

CubelaPetarandClaude Opus 4.8 75296ce58c Rename phy-z-srv-gpu01 to phy-srv-gpu01; fix share analysis scripts

- 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>

2026-09-03 14:47:07 +02:00

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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

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