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Concurrency on custom nvidia runners #397

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Merged
msaroufim merged 2 commits into from
Jan 13, 2026
Merged

Concurrency on custom nvidia runners #397

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6c40351
Concurrency on custom nvidia runners
Jan 13, 2026
27e3483
update
Jan 13, 2026
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6 changes: 5 additions & 1 deletion .github/workflows/nvidia_workflow.yml
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Expand Up @@ -15,11 +15,15 @@ on:
required: false
type: string

concurrency:
group: nvidia-workflow-global
cancel-in-progress: false
Comment on lines +18 to +20

Copilot AI Jan 13, 2026

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The workflow-level concurrency group 'nvidia-workflow-global' will queue all workflow runs globally, which may defeat the purpose of having 8 separate runners. Since the goal is to distribute work across multiple runners, consider using a per-runner concurrency group or removing workflow-level concurrency entirely. A better approach would be to set concurrency at the job level with a dynamic group name like 'nvidia-workflow-${{ needs.select-runner.outputs.runner }}' to allow parallel runs on different GPUs while preventing concurrent runs on the same GPU.

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run-name: 'NVIDIA Job - ${{ github.event.inputs.run_id }}'

jobs:
run:
runs-on: [nvidia-docker-b200-8-x86-64]
runs-on: nvidia-docker-b200-8-x86-64
timeout-minutes: 10
steps:
- uses: actions/checkout@v3
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