# ana-ml2

Primary AI inference host for PFI.

## Network

- **LAN IP:** 10.250.50.54 (in-band, OS-side)
- **BMC (OOB):** 10.250.250.50 — Supermicro IPMI web UI
  at <https://10.250.250.50> (homepage card: *PFI-ANA-ML2 BMC*)
- **SSH:** standard port 22 on 10.250.50.54

## Hardware

- **Chassis:** Supermicro mid-range inferencing server (bare metal,
  NOT Dell / not the same box as sf-r630 / sfsrv-ana)
- **CPU:** AMD EPYC 9254 24-core (96 threads)
- **RAM:** 566 GB
- **GPUs:** 2x NVIDIA RTX 6000 Ada Generation (46 GB VRAM each, GPU 0 and GPU 1)
- **Storage:** ZFS `zroot` (434 GB root) + `tank` pool (8.6 TB at `/tank`)
- **OS:** Debian 13 (trixie), kernel 6.12.x
- **Docker:** 29.3.1, runtimes: runc (default), nvidia, io.containerd.runc.v2

## Key paths

| Path | Purpose |
|------|---------|
| `/opt/docker/compose/<stack>/` | Compose files |
| `/opt/docker/conf/<stack>/` | Config bind mounts |
| `/tank/aimodels/huggingface/` | HF cache (267 GB, pre-downloaded models) |
| `/tank/aimodels/llm/` | Legacy GGUF models (790 GB, referenced by llama-swap as `/models/`) |
| `/var/lib/docker/` | Docker data (on zroot) |

## Running stacks

| Stack | Port | Notes |
|-------|------|-------|
| llama-swap | 9292 | GGUF model server via llama.cpp |
| vllm-embed (Qwen3) | 8001 | OpenAI-compatible embeddings; part of the `vllm` stack (GPU 1) |
| vllm-rerank (Qwen3) | 8002 | OpenAI-compatible reranker; part of the `vllm` stack (GPU 1) |
| vllm-reward (Skywork) | 8003 | Skywork-Reward-V2-8B-AWQ classifier; part of the `vllm` stack (GPU 1) |
| dockge | 5001 | Docker stack management UI |
| dozzle-agent | 7007 | Log agent; reports to the Dozzle hub on ana-docker |
| beszel-agent | 45876 | Metrics agent; reports to the Beszel hub on ana-docker |

**Retired since last README update:**
- `infinity` — replaced by the `vllm` stack (originally `vllm-qwen3`, renamed 2026-05-13 when the stack expanded beyond Qwen3) after the upstream Infinity image stopped shipping a `transformers` build that knew Qwen3.
- `LibreChat (+ rag_api, vectordb, mongodb, meilisearch)` — removed from this host.
- `searxng` — now hosted on ana-docker for the whole fleet.
- Residual networks (`librechat_default`, `kokoro-tts-gpu_default`) from prior experiments are still present; safe to `docker network rm` at leisure.

## Refresh state

```bash
scripts/refresh-server-info.sh ana-ml2
```

Latest snapshot: `system-details.txt` (regenerate as needed).

## GPU allocation policy

By default, no container is pinned. For predictable performance when multiple GPU workloads run concurrently:

- **GPU 0:** heavy LLM (llama-swap big models).
- **GPU 1:** light services (the three `vllm` services share this GPU via `--gpu-memory-utilization`).

Use `deploy.resources.reservations.devices[].device_ids: ["<id>"]` in compose to pin.