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.
Individual: $10/month. Team: $15 per user per month. Enterprise: Custom pricing. All plans start with 14-day free trial.
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
Connect any MCP client
Space-based access control with owner, editor, and viewer roles
Version history on every memory
Per-memory attribution and provenance tracking
Row-level security in Postgres
Topic-based organization within Spaces
Works with Cursor, Claude Code, Copilot, ChatGPT
Priority support on Team and Enterprise plans
Personal and Shared Spaces
What makes it different
Built by creators of Ray, the world's most widely adopted AI compute engine
Multi-cloud deployment without code changes
Feels local but runs distributed
Unified GPU pooling across clouds and regions
Tool-agnostic across mixed AI stacks instead of locked to one vendor
Works across teams without copy-paste or re-explaining context
Person-first design where everyone maintains their own knowledge slice
Single-team pricing with no enterprise minimum
Shared control through role-based permissions and governance
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