CoreWeave Launches Sandboxes for AI Reinforcement Learning, Agent Tool Use & Model Evaluation
CoreWeave, Thursday, May 14th, 2026
CoreWeave announces CoreWeave Sandboxes, a unified execution layer for secure, isolated AI reinforcement learning and agent tool use.
CoreWeave announced CoreWeave Sandboxes, an execution layer providing secure, isolated environments for reinforcement learning, AI agent tool use, and model evaluation. The offering is available in two access models: on-cluster for teams using CoreWeave Kubernetes Service (CKS) and serverless through Weights & Biases for researchers without existing infrastructure.
The platform addresses the gap in AI research stacks by enabling teams to run thousands of parallel sandboxes with built-in session management, storage integration, and monitoring tools. Industry leaders like IBM Research and Mistral praised the solution for eliminating the need for custom execution systems and reducing operational complexity in advanced AI workflows.