CoreWeave Sandboxes for Agentic AI | CoreWeave Blog

What this post added

Introduces CoreWeave Sandboxes as a new execution layer for agentic AI workloads, including RL, agent tool use, and model evaluation. Details two deployment options: on CoreWeave Kubernetes Service (CKS) clusters with per-sandbox Kubernetes pods governed by profiles, and a serverless runtime via Weights & Biases using Kata Containers for strong isolation. Highlights integrated debugging and observability through W&B Weave, correlating sandbox events with training metrics and LLM traces. Discusses efficient compute utilization by scheduling sandboxes across existing CoreWeave capacity, including idle CPUs on GPU nodes.