# 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](HW.md).

## Planning notes

- [Hardware assessment (2026-07-06)](notes/20260706-hardware-assessment.md)
- [Software assessment (2026-07-06)](notes/20260706-software-assessment.md)
- [Deep dive (2026-07-07)](notes/20260707-deep-dive.md)
- [Project plan for the setup (2026-07-10)](notes/20260710-projektplan.md) — start here when the server arrives

Open pre-work items are tracked in the repo-root [TODO.md](../../TODO.md).

## Runbooks

- [NVIDIA driver, CUDA repo & container toolkit (2026-07-14)](manuals/20260714-nvidia-driver-install.md) — automated by the Ansible role `nvidia_gpu`

## Scripts

- [share-analysis.ps1](scripts/share-analysis.ps1) — read-only SMB share analysis (projektplan §2.1); run on a Windows machine with read access to the shares