Files

T

vh 355a2407a2 docs(ana-ml2): correct GPU spec Ada -> RTX PRO 6000 Blackwell (96GB, cc 12.0)

ana-ml2 was upgraded 2026-06 from dual RTX 6000 Ada (46GB, cc 8.9) to
dual RTX PRO 6000 Blackwell Max-Q (96GB, cc 12.0 / sm_120). Update the
stale hardware facts across the workspace:

- CLAUDE.md servers table row
- servers/ana-ml2/README.md hardware spec (+ refreshed system-details.txt)
- stacks/vllm compose + .env.example FP8/KV comments (Ada cc 8.9 -> Blackwell cc 12.0)
- stacks/llama-swap config VRAM-budget comment (48GB -> 96GB, GPU-0 pin)

Also corrects the adjacent stale 'Phi-4-mini' comment in the granite
service block (the service has been Granite 4.1 8B since 34a43a0).
Doc/comment-only; no runtime change.

2026-06-13 13:36:14 -07:00

conf

docs(ana-ml2): correct GPU spec Ada -> RTX PRO 6000 Blackwell (96GB, cc 12.0)

2026-06-13 13:36:14 -07:00

.env.example

Initial commit: PFI fleet inventory, stacks, tooling, and backup pipeline

2026-04-20 14:29:48 -07:00

compose.yaml

feat(llama-swap): pin to GPU 0, reserving it for large-model hot-loads

2026-06-12 15:17:46 -07:00

README.md

vllm: rename stack from vllm-qwen3 → vllm + add Skywork reward classifier

2026-05-13 22:00:26 -07:00

README.md

llama-swap

GGUF model server with on-demand model swapping. Served via llama.cpp's llama-server under the llama-swap proxy.

Server: ana-ml2 Port: 9292 (configurable via .env) GPU: both (unpinned — runtime: nvidia grants access to all devices; per-model GPU selection happens inside config.yaml)

Files

compose.yaml — canonical compose. Deployed to /opt/docker/compose/llama-swap/compose.yaml on ana-ml2.
.env.example — template for the per-host .env. Copy to .env on the server and tweak.
config.yaml — model definitions and groups. Deployed to /opt/docker/conf/llama-swap/config.yaml on the server.

Homepage labels are in the compose file under the AI Systems group, matching the convention used by vllm and infinity.

Deploy a fresh install

scripts/deploy-stack.sh ana-ml2 llama-swap

ssh ana-ml2 '
  cd /opt/docker/compose/llama-swap && \
  cp -n .env.example .env && \
  docker compose config && \
  docker compose up -d && \
  docker compose logs --tail=30
'

Model reference conventions

Modern entries: use -hf <user>/<repo>[:<quant>] — reads from the shared HF cache, nothing to pre-stage outside hf download
Legacy entries: use --model /models/<dir>/<file>.gguf — reads GGUFs from /tank/aimodels/llm/ (pre-HF-cache era, gradually being migrated)

New models should prefer the -hf pattern.

Deploy updates to config only

# After editing config.yaml here:
scp config.yaml ana-ml2:/opt/docker/conf/llama-swap/config.yaml
ssh ana-ml2 'cd /opt/docker/compose/llama-swap && docker compose restart'

Deploy updates to compose only

# After editing compose.yaml or .env.example here:
scripts/deploy-stack.sh ana-ml2 llama-swap
ssh ana-ml2 'cd /opt/docker/compose/llama-swap && docker compose up -d'