Hyperbolic is the open-access AI cloud serving 200,000+ engineers and researchers. Offering end-to-end infrastructure for training, scaling, and serving AI models with on-demand clusters, serverless inference, and dedicated endpoints. Run GPUs up to 75% cheaper than legacy clouds.
| Name | hyperbolic |
| Total Instances | 5 |
| Minimum Price | $0.16/hr |
| Maximum VRAM | 192 GB |
| Available GPU Models |
Hyperbolic is the open-access AI cloud serving 200,000+ engineers and researchers. Offering end-to-end infrastructure for training, scaling, and serving AI models with on-demand clusters, serverless inference, and dedicated endpoints. Run GPUs up to 75% cheaper than legacy clouds.
Ready to rent GPUs from hyperbolic? Sign up now to explore available instances and start your AI workloads.
Visit Provider Website →On-demand RTX 4090 with instant deployment and no long-term commitments
✓ Deploy in 60s
✓ No forms or calls
✓ Credit card or crypto payment
✓ On-demand flexibility
On-demand H100 SXM with instant deployment and no long-term commitments
✓ Deploy in 60s
✓ No forms or calls
✓ Credit card or crypto payment
✓ On-demand flexibility
On-demand H200 with instant deployment and no long-term commitments
✓ Deploy in 60s
✓ No forms or calls
✓ Credit card or crypto payment
✓ On-demand flexibility
| Accelerator | Price/Hour | VRAM | Type | Action |
|---|---|---|---|---|
| H100 | $1.50 | 80 GB | Hopper | View GPU → |
| H200 | $2.40 | 141 GB | Hopper | View GPU → |
| B200 | $3.50 | 192 GB | Blackwell | View GPU → |
| RTX 4090 | $0.30 | 24 GB | Ada Lovelace | View GPU → |
| RTX 3070 | $0.16 | 8 GB | Ampere | View GPU → |
Explore GPU specifications and compare pricing for hyperbolic
Explore alternative GPU cloud providers and compare pricing
Check CUDA compute capability and AI feature support for different GPUs
View Reference →hyperbolic is a leading GPU cloud provider offering 5 instances across 5 different GPU models. With pricing starting at $0.16/hour, they provide competitive options for AI training, inference, and high-performance computing workloads.
Their infrastructure spans 1 regions, making it easy to deploy GPU instances close to your users or data sources. The provider supports popular NVIDIA GPUs including B200, H100, H200, enabling a wide range of AI/ML applications from deep learning training to real-time inference.
When choosing hyperbolic for your GPU cloud needs, consider factors like pricing, regional availability, and supported GPU models. Their platform integrates with popular ML frameworks like PyTorch, TensorFlow, and JAX, making it straightforward to migrate existing workloads or start new projects.
For cost optimization, compare hyperbolic's pricing with other providers using our cost estimator tool. Many users find that hyperbolic offers competitive rates for long-running training jobs or high-throughput inference workloads, especially when utilizing their spot or preemptible instance options.
Learn more about GPUs from these authoritative sources:
Official CUDA programming guide
NVIDIA GPU Specifications →Official NVIDIA GPU specs
TechPowerUp GPU Database →Comprehensive GPU specifications
CUDA Compute Capability Guide →GPU compute capability reference
Visit hyperbolic's website to create an account and start using their GPU instances.
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