What's good about...
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
TensorDock
- Marketplace model with competitive pricing
- Pay-per-second billing with no minimum commitments
- No waitlists or quotas for GPU access
- Global coverage across 100+ locations
Price comparison
How do GPU.ai's prices compare against TensorDock?
VM Small
GPU.ai
TensorDock
VM Medium
GPU.ai
TensorDock
VM Large
GPU.ai
TensorDock
Block Storage
GPU.ai
TensorDock
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
GPU.ai
TensorDock
Billing Options
GPU.ai
TensorDock
Available Models
GPU.ai offers 20 GPU models, while TensorDock offers 9.
H100Heads 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 GPU.ai and TensorDock offer:
Company details
|
GPU.ai
|
TensorDock
|
|
|---|---|---|
| Website | gpu.ai | www.tensordock.com |
| Headquarters | United Arab Emirates | United States of America |
| Founded | -- | 2021 |
| Data Center Locations | -- | -- |
| Example Customers | -- | Florida State University, Creavite, airgpu, ELBO |
GPU.ai
TensorDock
GPU.ai
TensorDock
GPU.ai
TensorDock
GPU.ai
TensorDock
GPU.ai
TensorDock
Alternatives to consider
Compare GPU.ai and TensorDock against other cloud providers.
Our data for GPU.ai was last updated on July 11, 2026, and for TensorDock on Feb. 12, 2026.