Fluidstack
vs
Hyperbolic
Both aggregate third-party datacenter capacity. Fluidstack contracts large clusters for AI labs and publishes no rates, while Hyperbolic sells single instances self-serve by the hour with block storage and serverless inference.
What's good about each
- Managed Slurm and Kubernetes clusters on bare metal
- Active and passive cluster health checks with observability
- ClusterMAX Gold rating from SemiAnalysis
- Custom data centers built for a single customer's workload
- 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
Services
Managed services each provider offers.
| Service | Fluidstack | Hyperbolic |
|---|---|---|
| Block Storage | ||
| GPU-powered Servers | ||
| Serverless Functions |
Compliance
Frameworks each provider states on its own site, each linked to its source.
Heads up: Each entry links to the provider's own statement. An attestation can cover one tier, one region or the platform alone rather than every service. Verify the scope before you rely on it. A dash means we found nothing to link to, not that the provider lacks it.
Company details
| Fact | Fluidstack | Hyperbolic |
|---|---|---|
| Founded | 2017 | 2022 |
| Headquarters | USA | USA |
| Locations | 4 | -- |
| Example customers | -- | -- |
| Website | www.fluidstack.io | www.hyperbolic.ai |
Alternatives to consider
Compare Fluidstack and Hyperbolic against other cloud providers.
Our data for Fluidstack was last updated on Sept. 18, 2026, and for Hyperbolic on Sept. 18, 2026.