Announcing distributed AI on CoreWeave with fully managed Ray on Anyscale

This post announces the integration of Anyscale, a fully managed Ray platform, on CoreWeave Kubernetes Service (CKS) via BYOC. It details how this enables customers to run distributed AI workloads, including training, fine-tuning, inference, and multimodal data processing, directly within their CoreWeave accounts. Key benefits highlighted include enhanced performance and reliability through Anyscale's features such as efficient cluster validation, proactive health checking, world-class observability with granular metrics, and industry-leading goodput. The post also emphasizes Anyscale's developer tooling (Anyscale Workspaces), fully managed Ray clusters with autoscaling, RayTurbo for performance optimizations, and cost management features. It positions this integration as a shortcut to production for AI initiatives, particularly for RL workloads, by leveraging Anyscale's capabilities alongside CoreWeave's AI infrastructure.