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
Distillery: Operating system for enterprise AI
Weave: Autonomous AI system construction
Context Mesh: Enterprise knowledge structured for AI
Context Views: Enterprise semantic layer for agents
Journey: AI voice layer for digital experiences
Personalization: 1:1 customer engagement at enterprise scale
Capture: Tacit knowledge capture at scale
Canary: Self-improvement for AI systems
Forward-deployed engineers and researchers
EBITDA impact in 6 months
What makes it different
Built by creators of Ray, the world's most widely adopted AI compute engine
Distyl