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Stop vLLM, Ray, and containers on dual DGX Spark
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Based on SOC occupation classification
Run vLLM benchmark on dual DGX Spark and record results
Load a model into vLLM on dual DGX Spark
Start DGX Spark containers and Ray cluster for distributed inference
Check status of DGX Spark infrastructure (containers, Ray, vLLM)
| name | spark-stop |
| description | Stop vLLM, Ray, and containers on dual DGX Spark |
| allowed-tools | Bash(ssh *) Bash(docker *) Bash(source *) Read |
Source the environment configuration:
source playbooks/dual-dgx-spark-setup/.env
Stop Ray on both nodes:
ssh -t $SPARK1_HOST "docker exec $CONTAINER_NAME ray stop" &
ssh -t $SPARK2_HOST "docker exec $CONTAINER_NAME ray stop" &
wait
Stop and remove containers:
ssh -t $SPARK1_HOST "docker stop $CONTAINER_NAME && docker rm $CONTAINER_NAME" &
ssh -t $SPARK2_HOST "docker stop $CONTAINER_NAME && docker rm $CONTAINER_NAME" &
wait
Verify cleanup with /spark-status