Agent skill

coreweave-upgrade-migration

Upgrade CoreWeave deployments and migrate between GPU types. Use when migrating from A100 to H100, upgrading CUDA versions, or updating inference server versions. Trigger with phrases like "upgrade coreweave", "coreweave gpu migration", "coreweave cuda upgrade", "migrate coreweave".

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Install this agent skill to your Project

npx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/main/plugins/saas-packs/coreweave-pack/skills/coreweave-upgrade-migration

SKILL.md

CoreWeave Upgrade & Migration

GPU Type Migration

yaml
# Before: A100
affinity:
  nodeAffinity:
    requiredDuringSchedulingIgnoredDuringExecution:
      nodeSelectorTerms:
        - matchExpressions:
            - key: gpu.nvidia.com/class
              operator: In
              values: ["A100_PCIE_80GB"]

# After: H100 (update affinity label)
              values: ["H100_SXM5"]

Migration Steps

  1. Build new container with updated CUDA version if needed
  2. Deploy with new GPU affinity alongside old deployment
  3. Shift traffic gradually (canary)
  4. Validate latency and throughput match or improve
  5. Scale down old deployment

CUDA Version Matrix

GPU Type Recommended CUDA Driver
A100 CUDA 12.2+ 535+
H100 CUDA 12.4+ 550+
L40 CUDA 12.2+ 535+

Rollback

bash
kubectl rollout undo deployment/my-inference

Resources

Next Steps

For CI/CD, see coreweave-ci-integration.

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