Backed by Open Core VenturesThe fastest way to build agents
Framework-agnostic runtime for parallel tool execution at scale, powered by Ray
▋Powered by Ray, the compute engine trusted by
Proven at scale for the world's largest models—now adapted for Agentic AI.
For coding agents
Framework-agnostic runtime
Bring your agent code or use our adapters for LangGraph, CrewAI, Pydantic-AI, and other frameworks. Your tools, your workflow—Ray handles the infrastructure.
Distributed Tool Execution
Parallelize tool calls across hundreds of nodes with automatic retries and failure recovery. Ray manages scheduling, resource planning, and distributed execution seamlessly.
Secure Code Sandboxing
Execute untrusted or dynamically generated code—within secure gVisor sandboxes. Leverage kernel-level isolation without sacrificing the high-throughput execution needed for function calling.
Fault-Tolerant by default
Automatic checkpointing, retry logic, and failover handling. Your agents keep running even when individual nodes fail—no manual intervention required.
Heterogeneous Compute
Mix and match hardware as needed—CPU nodes for logic, GPU nodes for inference, custom accelerators for specialized tasks. Ray handles the orchestration seamlessly.
Cloud Agnostic Deployment
Deploy to AWS, GCP, Azure, or on-premise infrastructure. Same API, whether self-hosted or on our managed platform.
The Agent Compute Platform
Built from first principles for AI agents. While others focus on training clusters and model serving, we've reimagined distributed computing for agent orchestration.
Built on Ray open-source for proven distributed computing
Focused on agent orchestration and tool execution
From engineers who contribute to Ray and ship agents
Part of the Ray ecosystem, purpose-built for agents
Want to build with us?
Join thousands of engineers already building on Ray.