Snapshot
Continue to About ↓- What it does
- Daytona is secure, elastic infrastructure for running AI-generated code.
More detail
- It provides isolated sandboxes with their own kernel, filesystem, network stack, and allocated vCPU, RAM, and disk, which agents and developers drive programmatically through SDKs, an API, and a CLI.
- Sandboxes support snapshots, persistence, parallel execution, and desktop computer-use automation for AI, agent, and reinforcement-learning workflows.
- Best for
- Teams building AI agents, code interpreters, evaluation harnesses, or coding tools that need to execute untrusted, AI-generated code in isolated, fast-starting sandboxes with programmatic control.
- Pricing
- Pay-as-you-go, billed per second with no monthly subscription stated.
More detail
- Listed rates: vCPU $0.0504/h, memory GiB $0.0162/h, storage GiB $0.000108/h (first 5 GiB free), Windows $0.0858/vCPU/h, plus GPU rates that differ for preemptible versus on-demand instances. $200 in free compute and a free trial w
- Main limitation
- Buyers who need a simple hosted chatbot or no-code AI app builder, or who cannot manage API keys, SDK integration, and usage-based compute billing.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Daytona is secure, elastic infrastructure for running AI-generated code.
- It provides isolated sandboxes with their own kernel, filesystem, network stack, and allocated vCPU, RAM, and disk, which agents and developers drive programmatically through SDKs, an API, and a CLI.
- Sandboxes support snapshots, persistence, parallel execution, and desktop computer-use automation for AI, agent, and reinforcement-learning workflows.
What it helps with
- Running untrusted, AI-generated code safely without risking production infrastructure
- Slow or heavyweight environment setup that bottlenecks agent and evaluation workflows
- Managing many concurrent code-execution environments and keeping their state reproducible
- Giving agents programmatic file, Git, process, and language-server control inside an isolated runtime
- Automating desktop GUI interactions for computer-use agents and application testing
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| Isolated sandboxes | Yes | Each sandbox has full isolation with a dedicated kernel, filesystem, network stack, and allocated vCPU, RAM, and disk. |
| Fast sandbox creation | Yes | Official docs state sandboxes spin up in under 90ms from code to execution. |
| Multi-language SDKs | Yes | SDKs for Python, TypeScript, Ruby, Go, and Java, plus an API and CLI. |
| Process and code execution API | Yes | Execute code and commands in isolated environments with real-time output streaming. |
| File system and Git operations | Yes | Full CRUD file operations with permission controls plus native Git operations and credential handling. |
| Environment snapshots | Yes | Save, restore, and resume workflows from snapshot states for reproducible environments. |
| Computer Use automation | Yes | Programmatic mouse, keyboard, screenshot, screen recording, and display control for Linux and Windows sandboxes. |
| GPU sandboxes | Yes | Preemptible and on-demand GPU options including Nvidia and AMD models at published hourly rates. |
| Bring your own compute | Limited | Listed as an enterprise option available through sales contact; self-serve details are not documented. |
| macOS sandboxes | Yes | Documented as a sandbox option, with separate guidance for macOS computer use. |
Bot trust
How confidently AI systems can verify this profile from public evidence.
58of 100
ChatGPT—/100
Claude58/100
What bots could verify
- • Identifies company founding year (2023), headquarters (Miami Beach), employee headcount, and revenue scale via third-party intelligence.
- • Cites independent third-party aggregators including agent.reviews, Arbolus customer intelligence, and Gartner Peer Insights.
- • Provides balanced technical and operational risk disclosures, including missing security headers, documentation gaps, and startup latency issues.
What weakens trust
- • Lacks any pricing evidence, incorrectly concluding that public pricing data is completely unavailable.
- • Human customer evidence is sparse, relying on only six enterprise customers and a single Gartner review.
- • Lacks verification of critical compliance frameworks such as SOC 2, GDPR, and HIPAA, leaving regulatory posture uncertain.
Evidence
Where this record came from, when it was reviewed, and how confidently it can be used.
- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- daytona.io
Technical profile details
Record ID
db4856e2-396f-4dee-bffd-dbae01ea2998Canonical URLhttps://profiles.scribble.network/listing/daytona-db4856