Daytona
Daytona: A programmable sandbox platform for AI code, GPU workloads, and automated development tasks. Ranked #14 of 27 in Cloud Development Environments by our editors (6.2/10); pricing: Freemium; best for teams needing programmable GPU sandboxes.
At a glance
- Editor score6.2 / 10
- PricingFreemium
- Best forTeams needing programmable GPU sandboxes
- Workspace configDockerfile
- Founded2023 · New York, New York, United States
- Facts checked22 Sep 2026

Where it wins
- GPU-backed sandboxes support NVIDIA and AMD accelerators
- Persistent snapshots and shared volumes preserve sandbox state
- CLI, SDK, REST API, and custom runner support enable automation
Where it doesn't
- Paid-only model with usage-based billing
- Custom regions and self-hosted runners are invite-only experimental features
- Integration coverage centers on GitHub, JetBrains IDEs, Cursor, and Docker
Our verdict on Daytona
Daytona provides isolated, programmatically managed environments for AI-generated code, agent workflows, and development tasks. Its sandboxes can use containers, Linux virtual machines, Windows, macOS, and GPU-backed infrastructure, with dedicated compute, filesystems, network stacks, and lifecycle controls. Teams can execute processes with real-time output, manage files, perform Git operations, and connect environments to supported development tools. The product is aimed at engineering teams building automated code execution, agent workflows, and programmable development infrastructure rather than individuals seeking a conventional free cloud workspace.
Pricing is usage-based rather than organized around per-user plans. The Pay-as-you-go plan is priced at $0.0504 per vCPU per hour, with billing calculated per second. Daytona also provides Dockerfile and declarative image builds, Docker and OCI-compatible registry support, and APIs for managing environments programmatically. Its platform coverage includes web, Windows, macOS, Linux, API access, and self-hosted deployment, giving teams several ways to connect development workflows. GitHub, JetBrains IDEs, and Cursor are the named integrations.
The strongest differentiator is the depth of its sandbox controls. GPU support covers NVIDIA and AMD accelerators, while persistent snapshots, state restoration, and shared persistent volumes support workflows that need continuity across sandbox lifecycles. Bring-your-own-compute runners and custom regions extend deployment options, although those capabilities are invite-only experimental features. Daytona is a fit for teams that need programmable, isolated environments with GPU and automation support. Teams wanting a perpetual free plan or a simpler individual development workspace should choose a product built around those priorities instead.
Daytona pricing
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Daytona fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Workspace config | Dockerfile |
| VCS hosts | Multiple |
| Prebuilds | Yes |
| Persistent storage | Yes |
| Self-hosted option | Yes |
| GPU workspaces | Yes |
| JetBrains support | Yes |
| Deployment | Cloud, Self-hosted, Desktop, Mobile |
| Platforms | Web, Windows, macOS, Linux |
| Compliance & security | SOC 2, GDPR, HIPAA |
| Support | Email, Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 4 integrations: GitHub, GitLab, Bitbucket, Azure DevOps |
| Pricing | Freemium (source) |
| Website | daytona.io |
| Facts checked | 22 Sep 2026 |
Daytona integrations
Daytona lists 4 integrations on its own site.
- GitHub
- GitLab
- Bitbucket
- Azure DevOps
Alternatives to Daytona
- CoderA flexible self-hosted CDE with Terraform templates, multiple IDEs, and AI workflows.9.8
- GitHub CodespacesA GitHub-native cloud workspace with flexible IDE access and usage-based pricing.8.8
- Eclipse CheA Kubernetes-native, open-source workspace platform for teams managing development environments.7.7
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
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