Skill

coreweave-common-errors

Diagnoses and fixes CoreWeave Kubernetes errors: GPU scheduling failures, pending pods, CUDA OOM, NCCL timeouts, PVC mounting, image pull issues.

Kubernetes

Docker

Bash

devops

infrastructure

npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin coreweave-pack

Tool Access

This skill is limited to using the following tools:

ReadBash(kubectl:*)Grep

Preview

```bash

SKILL.md

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Stats

Parent Repo Stars1854

Parent Repo Forks248

Last CommitMar 22, 2026

Actions

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CoreWeave Common Errors

Error Reference

1. Pod Stuck Pending -- No GPU Available

kubectl describe pod <pod-name> | grep -A5 Events
# "0/N nodes are available: insufficient nvidia.com/gpu"

Fix: Check GPU availability: kubectl get nodes -l gpu.nvidia.com/class=A100_PCIE_80GB. Try a different GPU type or region.

2. CUDA Out of Memory

torch.cuda.OutOfMemoryError: CUDA out of memory

Fix: Reduce batch size, enable gradient checkpointing, or use a larger GPU (A100-80GB instead of 40GB).

3. Image Pull BackOff

Fix: Create an imagePullSecret:

kubectl create secret docker-registry regcred \
  --docker-server=ghcr.io \
  --docker-username=$GH_USER \
  --docker-password=$GH_TOKEN

4. NCCL Timeout (Multi-GPU)

NCCL error: unhandled system error

Fix: Ensure all GPUs are on the same node (NVLink). For multi-node, use InfiniBand-connected nodes.

5. PVC Not Mounting

Fix: Check storage class availability: kubectl get sc. Use CoreWeave storage classes like shared-hdd-ord1 or shared-ssd-ord1.

6. Node Affinity Mismatch

Fix: List valid GPU class labels:

kubectl get nodes -o json | jq -r '.items[].metadata.labels["gpu.nvidia.com/class"]' | sort -u

7. Service Not Reachable

Fix: Check Service and Endpoints:

kubectl get svc,endpoints <service-name>

Resources

Next Steps

For diagnostics, see coreweave-debug-bundle.