# Coreweave Prod Checklist

> Production readiness checklist for CoreWeave GPU workloads. Use when launching inference services, preparing GPU training for production, or validating deployment configurations. Trigger with phrases like "coreweave production", "coreweave go-live", "coreweave checklist", "coreweave launch".

- Skill: `jeremylongshore/coreweave-prod-checklist` (Agent Skill)
- Install (CLI): `npx skillmds@latest add jeremylongshore/coreweave-prod-checklist`
- Raw SKILL.md: https://api.skillmd.com/api/skills/jeremylongshore/coreweave-prod-checklist/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: MIT
- Author: jeremylongshore (https://skillmd.com/u/jeremylongshore)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/jeremylongshore/coreweave-prod-checklist

---


# CoreWeave Production Checklist

## Inference Services
- [ ] GPU type and count validated for model size
- [ ] Autoscaling configured (KServe or HPA)
- [ ] Health and readiness probes set
- [ ] Resource requests AND limits specified
- [ ] Node affinity targeting correct GPU class
- [ ] `minReplicas >= 1` for production (no cold starts)

## Storage
- [ ] Model weights in PVC (not downloaded at startup)
- [ ] Checkpoints saved to persistent storage
- [ ] Storage class appropriate (SSD for inference, HDD for archival)

## Security
- [ ] Secrets for model tokens and registry access
- [ ] Network policies applied
- [ ] Container images from trusted registries

## Monitoring
- [ ] GPU utilization metrics collected
- [ ] Inference latency and throughput tracked
- [ ] Alert on pod restarts and OOM events
- [ ] Log aggregation configured

## Rollback
```bash
kubectl rollout undo deployment/my-inference
kubectl rollout status deployment/my-inference
```

## Resources

- [CoreWeave CKS](https://docs.coreweave.com/docs/products/cks)

## Next Steps

For upgrades, see `coreweave-upgrade-migration`.