coreweave-upgrade-migration

name	coreweave-upgrade-migration
description	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".
allowed-tools	Read, Write, Edit, Bash(kubectl:*), Grep
version	1.0.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","gpu-cloud","kubernetes","inference","coreweave"]
compatible-with	claude-code

CoreWeave Upgrade & Migration

GPU Type Migration

# 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

kubectl rollout undo deployment/my-inference

Resources

• CoreWeave GPU Instances

Next Steps

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