This task can be performed using RayAI
RayAI: Scale AI agents, not your infrastructure headaches.
Best product for this task
RayAI
ai
RayAI provides a Ray-powered runtime for scaling AI agents with distributed tool execution, sandboxed code, and fault-tolerant orchestration. It connects to popular agent frameworks while managing heterogeneous compute and multi-cloud deployment so teams can focus on agent logic instead of infrastructure.
What to expect from an ideal product
- RayAI automatically isolates AI agent tools in secure sandboxes to prevent code execution from affecting your main systems or other running agents
- The platform spreads agent workloads across multiple cloud providers so if one goes down, your agents keep running without interruption
- Built-in fault recovery detects when agent tools crash or hang and automatically restarts them on healthy compute nodes
- Ray-powered distributed execution lets you run thousands of agent tools simultaneously across different machines and cloud regions
- Pre-configured orchestration handles all the complex routing and load balancing between AWS, Google Cloud, and Azure without manual setup
