Usage-based pay-as-you-go pricing with hourly compute charges; committed contracts available for volume discounts. Hosted option with Anyscale-managed infrastructure or Bring Your Own Cloud deployment available.
Not given
Key features
Multimodal data curation at scale
Distributed model training with elastic scaling
Batch embedding generation at scale
Multi-cloud deployment and orchestration
Cluster-backed development environments
Workload-specific observability and debugging
Production-grade managed Ray clusters
Access control and governance
GPU budget controls and cost attribution
Post-training with SkyRL and veRL support
Works with OpenClaw, Hermes, and Claude Code
MCP, CLI, or skill integration options
Automatic verification code and link extraction
Agent email waiting capability
Human approval required for outgoing emails
What makes it different
Built by creators of Ray, the world's most widely adopted AI compute engine