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.
Developer plan is free for solo users with up to 5k base traces per month, then pay-as-you-go. Plus plan costs $39/seat/month with 10k base traces included. Enterprise plan offers custom pricing with advanced options.
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
Agent observability with step-by-step tracing
Agent evaluation and scoring
Agent deployment infrastructure
Production monitoring with online evaluations
Autonomous agent improvement with Engine
Secure sandbox execution for agent-generated code
LLM Gateway for model call control
No-code agent builder Fleet
Open source frameworks for agent development
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
Comprehensive platform covering the entire agent development lifecycle from building to monitoring
Open source frameworks with options from quick-start to low-level control
Built-in observability and evaluation capabilities integrated into the platform
Support for long-running autonomous agents with Deep Agents framework