Physical distance still matters. When an AI agent needs to process data or respond to a user, the physical location of its runtime environment can significantly impact performance and user experience.
Today, we're excited to announce that Daytona is taking its lightning-fast runtimes global with the launch of Multi-Region Sandbox support.
TL;DR
Daytona now offers Multi-Region Sandbox support with specific regions in North America, Europe, and Asia
Proximity matters for AI agents - lower latency means faster responses and better user experiences
Deploy sandboxes closer to your agents for the best experience
Why Proximity Matters for AI
The latency introduced by geographical distance isn't just an inconvenience; it can fundamentally affect how agents operate:
User Interaction: For agents that interact directly with users, additional latency can make experiences feel sluggish and unresponsive
Data Gravity: Agents often need to process large volumes of data that may be subject to regional regulations or simply too large to transfer efficiently
Tool Access: Agents interacting with regional APIs or services perform better when located closer to those services
Compliance Requirements: Many organizations have regulatory requirements about where data can be processed
AI agents need to be where the action is. Forcing all compute to happen in a single region creates an artificial constraint that limits what agents can achieve. Our multi-region strategy removes this barrier.
Vedran Jukic, CTO
Regions Available Today
Effective immediately, you can choose to deploy your Daytona sandboxes in these specific regions:
North America
US-East: Washington DC
US-West: Oregon
Europe
EU-Central: Frankfurt
EU-West: London
Asia
Asia-South: Mumbai
This allows you to strategically place your agent runtimes to:
Minimize latency for end-users in different regions
Reduce data transfer times by running closer to data sources
Comply with regional regulations around data processing
How to Use Multi-Region Sandboxes
Selecting your preferred region is straightforward in both the SDK and CLI. You can specify regions when creating sandboxes, set default regions in your configuration, or use environment variables.
For detailed implementation instructions and up-to-date code examples, please refer to our comprehensive documentation:
The system follows a simple precedence order: parameters in API/SDK calls override configuration settings, which override environment variables, which override the system default (us-east).
Start Going Global Today
Reduce latency and improve the performance of your AI agents by deploying Daytona sandboxes in the region that makes the most sense for your workloads and users.
Multi-region support is available now for all Daytona users. We'd love to hear about your experience using this feature and which additional regions would be most valuable for your use cases.
Join us tomorrow as we unveil our vision for advanced agent orchestration with Daytona MCP support.
