Coreweave security basics
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Secure CoreWeave deployments with RBAC, network policies, and secrets management. Use when hardening GPU workloads, managing model access, or configuring namespace isolation. Trigger with phrases like "coreweave security", "coreweave rbac", "secure coreweave", "coreweave secrets".
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SKILL.md
1.8 KB, 324 tokens by cl100k_base, as published. Nobody here has run it
CoreWeave Security Basics
Instructions
Secrets for Model Access
# HuggingFace token
kubectl create secret generic hf-token --from-literal=token="${HF_TOKEN}"
# Container registry credentials
kubectl create secret docker-registry regcred \
--docker-server=ghcr.io \
--docker-username=$USER \
--docker-password=$TOKEN
Network Policy for Inference Pods
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: inference-isolation
spec:
podSelector:
matchLabels:
app: inference-server
policyTypes: [Ingress, Egress]
ingress:
- from:
- podSelector:
matchLabels:
role: api-gateway
ports:
- port: 8080
egress:
- to: [] # Allow all egress for model downloads
ports:
- port: 443
Security Checklist
- Kubeconfig stored securely, not in repos
- Secrets used for model tokens (not env vars in YAML)
- Network policies restrict inference endpoint access
- RBAC limits namespace access per team
- Container images scanned for CVEs
- PVCs encrypted at rest
Resources
Next Steps
For production readiness, see coreweave-prod-checklist.