Giving Agents Computers — Ivan Burazin, Daytona

Daytona provides specialized, composable compute infrastructure designed specifically for AI agents, moving beyond traditional virtual machines to high-performance, bare-metal sandboxes. Unlike human-centric development environments, agentic workloads are characterized by extreme, unpredictable spikes in concurrency and a requirement for stateful, long-running execution. CEO Ivan Burazin highlights the necessity of "computer use" capabilities—enabling agents to interact with legacy Windows and Linux applications—to unlock the massive potential of automating knowledge work. The platform achieves sub-second spin-up times and dynamic resource scaling, addressing the limitations of standard Kubernetes-based setups. As the agent ecosystem matures, the infrastructure challenge shifts from simple code execution to managing massive, spiky compute demands, positioning Daytona as a critical layer in the emerging "AI cloud" stack that prioritizes speed, statefulness, and programmatic accessibility over traditional developer-focused tooling.