Infrastructure to build and run apps, agents, skills and services
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
Not given
Pricing model
Paid
Free
Pricing
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
CLI for local development and deployment
Apps with offline-capable records that sync across devices
Long-running agents working 24/7
Reusable skills that work across platforms
Hosted and external services integration
Free hosting
Local testing with terminus dev simulator
Background jobs, schedules and webhooks
Support for TypeScript, Rust, Python, Go, C and C++ services
Shared spaces for team collaboration
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
Lego-style composable components that connect together
Free hosting forever for all creations
Unified workflow from local development to published releases
Terminus