Cloud agent sandbox with persistent filesystem and on-demand compute
Stage
Not given
MVP
Founded
Not given
Not given
Based in
US
US
Pricing model
Paid
Paid
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.
Compute: $0.015 per GiB-hour (approximately $0.000004167 per GiB-second, billed by the second). Storage: $0.02 per GiB-month for retained incremental RootFS data and memory checkpoints. Network ingress and egress currently free. Object-store GET and PUT requests free. New users receive $5 free credi
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
Automatic filesystem growth as storage fills
Pause compute without losing work or paying compute charges
Resume to same environment on demand
Access files while paused without waking compute
Public HTTP services with auto-resume capability
Command-line interface (s0 CLI) for agent-native workflows
Incremental checkpoints to avoid full filesystem copies
Scoped API keys and team-based access controls
On-demand file reads without downloading entire filesystem
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
Persistent filesystem across pause/resume without duplicating data
Pay only for compute time used; paused sandboxes have zero compute charges
Automatic filesystem growth so agents can install and persist unlimited tools