CoreWeave Sandboxes for Agentic AI
CoreWeave Blog, Thursday, May 14th, 2026
CoreWeave launches Sandboxes, a secure execution layer for reinforcement learning and agentic AI at scale.
CoreWeave has announced Sandboxes, a new execution layer designed for reinforcement learning, agentic AI workflows, and model evaluation at scale. The service provides isolated execution environments that contain failures, preventing issues in one sandbox from affecting others, and supports thousands of parallel sandboxes without operational overhead.
Available in two forms-integrated with CoreWeave Kubernetes Service for existing customers or as a serverless runtime through Weights & Biases-Sandboxes integrates seamlessly with W&B for debugging and monitoring agent execution.
The solution addresses the gap between training modern agentic models that execute code and the need for secure, scalable infrastructure to safely run that code.