FluidStack vs Hyperbolic
Both aggregate third-party datacenter capacity, with Fluidstack geared toward large contracted clusters for AI labs and Hyperbolic also selling single instances self-serve.
What's good about...
FluidStack
- Deploy GPU workloads without having to manage infrastructure
- Affordable prices, wide range of GPU options
- Clusters can be reserved to lock-in savings
- 24/7 support with a 15-minute response time
Hyperbolic
- Single GPU to 1,000+ GPU clusters, InfiniBand up to 3.2 Tb/s
- Virtual machine or bare metal, both with root SSH access
- 99.5% uptime SLA, with self-serve reservations from one week
- OpenAI-compatible inference API
Price comparison
Hyperbolic Pricing
Hyperbolic sells GPU capacity three ways:
- On-Demand: billed hourly against prepaid credits, with the rate locked at instance creation.
- Reserved: terms from one week, paid up front, with longer terms priced lower.
- Private Cloud: dedicated clusters under a custom contract.
Storage volumes are billed hourly by provisioned size. On-demand rates are refreshed weekly to track supplier rates.
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 FluidStack and Hyperbolic offer:
Company details
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FluidStack
|
Hyperbolic
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|---|---|---|
| Website | www.fluidstack.io | www.hyperbolic.ai |
| Headquarters | United Kingdom | United States of America |
| Founded | 2017 | 2022 |
| Data Center Locations | 4 | -- |
| Example Customers | Character.ai, Playground, Samsung Research, Krisp, Codeway | -- |
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Alternatives to consider
Compare FluidStack and Hyperbolic against other cloud providers.
Our data for FluidStack was last updated on Feb. 12, 2026, and for Hyperbolic on Aug. 14, 2026.