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
Build apps and dashboards from prompts without coding
Integrates with Slack, Google Drive, Gmail, Notion, and custom data via MCP and OAuth
Maintains context and picks up where you left off
Runs tasks on a schedule automatically
Search and analyze data from PDFs, Google Drive, and Sheets in plain language
Built on enterprise-grade infrastructure with GDPR compliance
No onboarding or configuration required
Send scheduled Slack alerts and digests
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
No setup or configuration needed to start using
Remembers context and continues work without recaps
Learns tasks and runs them automatically on a schedule
Built by Prosus, one of the world's largest technology groups
Toqan