The text outlines Daytona Cloud, a purpose-built infrastructure designed specifically for AI agents. Over five consecutive days, the company unveiled its vision for AI-native infrastructure, marking a strategic move towards building runtimes for AI agents. Key capabilities include lightning-fast sandbox startup times, native Docker compatibility, stateful sandboxes, per-second billing, and secure web terminal access. The launch also introduced Python and TypeScript SDKs, enabling fully programmatic control over Daytona sandboxes with intuitive APIs. Additionally, the company announced Multi-Region Sandbox support, allowing organizations to minimize latency for end-users in different regions and comply with regional regulations around data processing. Finally, the Daytona MCP Server was unveiled, bridging AI assistants and development tools through the Model Context Protocol (MCP) integration.