# Introducing Daytona Cloud: The Agent-Native Infrastructure
**Published:** 2025-04-28
**Source:** https://www.startuphub.ai/ai-news/press-release/2025/introducing-daytona-cloud-the-agent-native-infrastructure
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Last week, we announced [Daytona](https://www.daytona.io/)'s new strategic focus on providing purpose-built runtimes for AI agents. Today, we're thrilled to introduce Daytona Cloud.

At its foundation, Daytona delivers five key capabilities:

- Fast environment startup times: Sub-90 millisecond sandbox spin-ups, optimized for agent workflows that require rapid iteration.
- Native Docker compatibility: No proprietary formats or custom configurations. Standard container workflows work out of the box.
- Multi-region support: Deploy environments globally with low-latency points-of-presence.
- Stateful sandboxes: Filesystem, environment variables, and process memory are preserved across agent interactions.

Daytona Cloud was not adapted from human-centric cloud models. It was built specifically for a future where intelligent agents interact directly with infrastructure, programmatically and independently.

> We didn't just adapt existing infrastructure; we reimagined what compute should look like in an era where intelligence, not humans, will be the primary consumer of these resources.Goran Draganic, Chief Architect

## Performance Benchmarks

Measured benchmarks demonstrate the advantages Daytona Cloud provides over traditional cloud providers:

| Metric | Value |
| --- | --- |
| Sandbox Creation | 71 ms |
| Code Execution | 67 ms |
| Cleanup | 59 ms |
| Total Time | 197 ms |

Performance was measured under typical agentic workloads, focused on fast iteration and short-lived task execution.

## Built for Agent Workflows

Daytona Cloud aligns closely with how real-world AI agents behave:

- Agents often create and manage multiple environments concurrently.
- Code is generated and refined progressively, not deployed as a single final artifact.
- Environments need to persist state across steps and iterations.
- File operations, Git actions, shell commands, and code execution must be accessible programmatically.

Every action an agent needs is exposed through a clean, consistent API, allowing full control without human involvement.

## Getting Started

Accessing Daytona Cloud is straightforward:

```
# Python
pip install daytona_sdk

# TypeScript
npm install @daytonaio/sdk
```

## Pricing: Designed for Agent Economics

Daytona Cloud’s pricing model is designed for agent-driven usage patterns:

- Per-second billing with millisecond precision
- No minimum runtime commitment
- Bandwidth costs included, no hidden transfer fees
- A generous free tier available for early adopters

See the full pricing details [here](https://daytona.io/).

## Infrastructure for an Agent-Native Future

The shift from human-driven software to autonomous agent systems is underway. In a world where trillions of sandbox environments will be created and destroyed dynamically, general-purpose cloud platforms are no longer sufficient.

Daytona provides infrastructure purpose-built for this new model of computing. Fast, stateful, programmatic, and designed from the start for intelligent agents.

Daytona Cloud is available today ([sign up](https://app.daytona.io/) or[explore the documentation](https://www.daytona.io/docs/)).
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Original analysis from [startuphub.ai](https://www.startuphub.ai), the #1 AI startup directory.