Daytona is under the market median on 2 of its 7 GPUs today.
Daytona is a cloud compute provider focused on running AI-generated code in secure, sandboxed environments.
At a glance · prices collected Oct 30, 2026
What's good about Daytona
- Fast sandbox provisioning times
- Secure environment for untrusted code
- Good support for parallel workflows
- Rich API for programmatic control
- Stateful sandboxes suitable for long-running tasks
Daytona GPU prices
7 GPU models across 14 configurations. Rank compares Daytona's cheapest on-demand listing for each GPU with every provider's cheapest.
| GPU | Daytona | -60%median+100% | Rank | vs. median | Report |
|---|---|---|---|---|---|
| H100 SXM 1× | $3.95/hr | #38 of 56 providers | +15% | ||
| H200 1× | $4.54/hr | #24 of 44 providers | +0% | ||
| RTX PRO 6000 1× | $3.03/hr | #34 of 40 providers | +44% | ||
| HGX B300 1× | $7.10/hr | #10 of 33 providers | -21% | ||
| RTX 4090 1× | $0.99/hr | #25 of 25 providers | +136% | ||
| RTX 5090 1× | $1.29/hr | #20 of 21 providers | +119% | ||
| MI355X 1× | $5.99/hr | #2 of 4 providers | -3% |
What a run costs on Daytona
24 hours at today's cheapest listing for each GPU, at the size it is listed.
1× H100 SXM for 24 hours
At $3.95/GPU-hr
$94.80
$12.54 over the market median rate
1× H200 for 24 hours
At $4.54/GPU-hr
$108.96
$0.29 over the market median rate
1× RTX PRO 6000 for 24 hours
At $3.03/GPU-hr
$72.72
$22.19 over the market median rate
The market median is every provider's cheapest on-demand price for that GPU.
Billing & terms
- On-demand
- Per-GPU rate metered per second with no minimum billed duration. Sandbox vCPU, memory and disk are billed separately per second at published resource rates.
- Spot
- Discounted per-GPU rate on preemptible capacity that can be terminated without notice. vCPU, memory and disk are billed separately per second at discounted spot resource rates.
- Reserved
- Available through custom enterprise agreements; not on the public rate card.
- Regions
- Available in regions like US East, US West, EU Central, EU West, Asia-South.
- Support
- Access to documentation, email support, and a community Slack channel.
Watch out for
- vCPU, memory and disk are billed separately per second on top of the GPU rate
- Less focus on traditional compute services
- Requires specific developer knowledge to leverage effectively
Features
- Isolated Runtime Protection
- Execution of AI-generated code with zero risk to underlying infrastructure.
- Fast Sandbox Creation
- Sandboxes can be created in under 90 milliseconds.
- Full CRUD Operations
- Manage sandboxes with comprehensive permission control.
- Built-in Git Integration
- Native Git operations with secure credential handling.
- Multi-Language Support
- Features language server support for real-time code analysis.
Getting started
Step 1
Sign Up for an Account
Visit the Daytona website to register for a new account.
Step 2
Create a Sandbox
Use the API or dashboard to create a new sandbox.
Step 3
Run Your Code
Execute your commands and monitor the output.
Step 4
Manage Sandboxes
Utilize the management console for CRUD operations on your sandboxes.
Step 5
Integrate with Development Tools
Set up integrations with Git or IDEs for enhanced productivity.
Where this page's facts come from
- GPU prices
- Daytona GPU rate card (daytona.io) · last collected Oct 30, 2026
- Profile
- Reviewed Sep 15, 2026
- Method
- How we collect and check prices
Frequently Asked Questions
What GPU types does Daytona offer?
Daytona offers various GPU types including MI355X, MI355X, H100 SXM, H100 SXM, H200, H200, RTX 4090, RTX 4090, HGX B300, HGX B300, RTX 5090, RTX 5090, RTX PRO 6000, RTX PRO 6000. Check the pricing table above for current availability and pricing.
How do I get started with Daytona?
Sign Up for an Account, Create a Sandbox, Run Your Code, Manage Sandboxes, Integrate with Development Tools
What are Daytona's main advantages?
Daytona's main advantages include: Fast sandbox provisioning times, Secure environment for untrusted code, Good support for parallel workflows, Rich API for programmatic control, Stateful sandboxes suitable for long-running tasks.
What are Daytona's limitations?
Daytona's main limitations include: vCPU, memory and disk are billed separately per second on top of the GPU rate, Less focus on traditional compute services, Requires specific developer knowledge to leverage effectively.
Compare Providers
Find the best prices for the same GPUs and models from other providers
All Daytona Comparisons
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