CoreWeave Sandboxes for Agentic AI | CoreWeave Blog

Introduces CoreWeave Sandboxes, an execution layer for agentic AI workloads (RL, tool use, evaluation). Details two deployment models: on CKS (Kubernetes pods with configurable network policies, resource limits) and serverless (Kata Containers by default for strong isolation, managed via Weights & Biases). Highlights integration with W&B for unified observability (lifecycle events, W&B Weave tracing) and secure secret injection. Emphasizes running sandboxes on existing compute (idle CPUs on GPU nodes) to reduce operational debt and cost.