gpu.ai is a provider-agnostic cloud compute platform that aggregates capacity from multiple providers.
Available GPUs
Hourly on-demand pricing. Click column headers to sort.
Prices last updated: October 18, 2026
gpu.ai pricing by GPU
Configurations, price rank, and alternatives for one GPU at a time.
Pros & Cons
Advantages
- Easy integration with multiple cloud providers
- Flexibility in GPU selection
- No idle costs for serverless models
- Managed fine-tuning jobs available
- Global capacity pooled for local billing
Limitations
- May require understanding of various cloud setups for optimal use
- Limited information on dedicated support options
Key Features
Provider-agnostic platform
The same console, CLI, and API across every cloud integrated.
On-demand compute
Per-second billing with the ability to launch from various GPU options.
Serverless models
Chat, image, and video models accessible via an OpenAI-compatible API.
Curated templates
One-click templates for various frameworks with pre-configured settings.
Reserved capacity
Options for reserving dedicated multi-node clusters on contract terms.
Availability & Support
Regions
Available in US, Canada, EU, India, Asia-Pacific.
Getting Started
- 1
Visit the platform
Access gpu.ai to view available resources.
- 2
Choose a GPU or model
Select from the available SKUs or serverless options.
- 3
Launch your compute instance
Specify your requirements and start using the service.
- 4
Monitor usage
Track performance and billing through the provided dashboard.
- 5
Explore documentation
Review the documentation for detailed guidance on features and setups.
Frequently Asked Questions
What GPU types does gpu.ai offer?
gpu.ai offers various GPU types including RTX A5000, RTX A6000, A100 SXM, A100 SXM, H100 SXM, H200, H100 NVL, H100 NVL, L40, RTX 4090, RTX 4090, A40, RTX 6000 Ada, RTX 6000 Ada, HGX B300, H200 NVL, L40S, L40S, H100 PCIe, RTX 5090, RTX 5090, B200, L4, RTX PRO 6000, RTX 3090, RTX PRO 4500. Check the pricing table above for current availability and pricing.
How do I get started with gpu.ai?
Visit the platform, Choose a GPU or model, Launch your compute instance, Monitor usage, Explore documentation
What are gpu.ai's main advantages?
gpu.ai's main advantages include: Easy integration with multiple cloud providers, Flexibility in GPU selection, No idle costs for serverless models, Managed fine-tuning jobs available, Global capacity pooled for local billing.
What are gpu.ai's limitations?
gpu.ai's main limitations include: May require understanding of various cloud setups for optimal use, Limited information on dedicated support options.
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