What's good about...
Cirrascale
- Multiple GPU types (NVIDIA, AMD, Cerebras, Qualcomm, SambaNova)
- Reservation pricing with 1 to 12-month terms
- High-speed networking (up to 3200Gb per server)
- Offers object storage and managed inference
GPU.ai
- Per-second billing with no minimum commitment
- Aggregates capacity across 14+ upstream providers on three continents
- Public pricing API exposing live per-region availability counts
- No egress or networking fees
Price comparison
How do Cirrascale's prices compare against GPU.ai?
Block Storage
Cirrascale
GPU.ai
Object Storage
Cirrascale
GPU.ai
1 TB of egress beyond allowance
Cirrascale
GPU.ai
GPU.ai Pricing Details
Billed per second, from the moment an instance reaches SSH-ready until it is stopped, with no minimums and no idle reservation fees. On-demand rates vary by region and upstream provider, and the platform routes each launch to the cheapest one with stock. Reserved capacity is quote-only and arranged with sales.
GPU Fleet Overview
Starting Price
Cirrascale
GPU.ai
Billing Options
Cirrascale
GPU.ai
Available Models
Cirrascale offers 9 GPU models, while GPU.ai offers 20.
H100
MI300XHeads up: We do our best to keep these specs & prices accurate. However, cloud costs may fluctuate based on region, usage, and other factors not listed here. These are estimates based on common setups and are for informational purposes only. Always verify current rates & exact specs with the provider before provisioning.
Which services do they offer
Here are some managed services that Cirrascale and GPU.ai offer:
Company details
|
Cirrascale
|
GPU.ai
|
|
|---|---|---|
| Website | www.cirrascale.com | gpu.ai |
| Headquarters | United States of America | United Arab Emirates |
| Founded | 2010 | -- |
| Data Center Locations | 12 | -- |
| Example Customers | -- | -- |
Cirrascale
GPU.ai
Cirrascale
GPU.ai
Cirrascale
GPU.ai
Cirrascale
GPU.ai
Cirrascale
GPU.ai
Alternatives to consider
Compare Cirrascale and GPU.ai against other cloud providers.
Our data for Cirrascale was last updated on Feb. 12, 2026, and for GPU.ai on July 11, 2026.