什么是 Ivan Burazin？

Daytona's Agent-Native Compute platform is designed for AI agents, offering ultra-fast sandboxes, high startup rates, and massive daily runs, making it ideal for reinforcement learning and evaluations. The platform has pivoted from human developer environments to focus on agent sandboxes, emphasizing bare metal performance and stateful snapshots. With RL workloads accounting for nearly half of its usage, Daytona is redefining the AI cloud landscape, potentially shifting it towards a model similar to Stripe rather than AWS.

Daytona addresses AI agents' dynamic compute needs through composable stateful sandboxes, with architecture supporting zero-to-100,000 CPU scalability, becoming a critical infrastructure component.