Grant
ae8efa1754
- image/ FastAPI app: /api/status, /api/swap, /api/swap/{id}/stream, /api/test-connection
- models.yaml: 5-model catalog (qwen3-vl, gemma4, qwen36, qwen3-235b-fp8, qwen25-72b)
- README, runbook, known-issues
- Dry-run swap verified against live Spark 1 (gemma4 currently loaded)
1.9 KiB
1.9 KiB
spark-control runbook
Operating notes for running and maintaining the cluster via spark-control.
Day-to-day
- The UI lives at
http://<your-start9>.local:9999once the StartOS package is installed and configured. - Status auto-refreshes every 5 s.
- A swap takes 3–6 minutes depending on the model. Don't close the tab — but if you do, the swap continues; reopen and you'll re-attach to the log stream.
Adding a new model
- Add an entry to
models.yaml(in the image source) or, post-install, via the "Edit Model Catalog" action in StartOS. - Confirm the weights are on the Spark:
ssh <spark-user>@<spark-1-host>.local 'ls ~/.cache/huggingface/hub/'. If not, download with./hf-download.sh <repo>on Spark 1. - The new model appears in the UI on next refresh.
Manual swap fallback
If the UI is unavailable and you need to swap by hand:
ssh <spark-user>@<spark-1-host>.local
cd ~/spark-vllm-docker
./launch-cluster.sh stop
./launch-cluster.sh --solo -d exec vllm serve RedHatAI/gemma-4-31B-it-NVFP4 \
--port 8888 --host 0.0.0.0 --gpu-memory-utilization 0.8 \
--max-model-len 32768 --reasoning-parser gemma4 \
--tool-call-parser gemma4 --enable-auto-tool-choice
docker logs -f vllm_node # wait for "Application startup complete."
Diagnostics
# Is vLLM serving?
curl -s http://<spark-1-ip>:8888/v1/models | jq .
# Cluster status (containers up?)
ssh <spark-user>@<spark-1-host>.local 'cd ~/spark-vllm-docker && ./launch-cluster.sh status'
# Tail current model's logs
ssh <spark-user>@<spark-1-host>.local 'docker logs --tail 200 -f vllm_node'
# Parakeet
curl -s http://<spark-2-ip>:8000/health
# Magpie (see known-issues.md)
curl -s http://<spark-2-ip>:9000/v1/health/ready
Hard reset
If launch-cluster.sh gets stuck:
ssh <spark-user>@<spark-1-host>.local
cd ~/spark-vllm-docker
./launch-cluster.sh stop
docker ps -aq | xargs -r docker rm -f
# then relaunch your preferred model