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 →GPUvec currently tracks 5 hyperbolic instance configurations across 5 GPU models. The lowest observed rate in the dataset is $0.16/hour; the final price can vary by region, GPU count, host configuration, and billing terms.
The recorded catalog includes B200, H100, H200, RTX 3070, RTX 4090. GPUvec has location data for 1 region: global.
When evaluating hyperbolic, compare memory capacity, accelerator generation, hourly rate, regional availability, billing granularity, storage, and network requirements. Framework support also depends on the selected image and driver stack, so verify CUDA and container versions before migration.
Use GPUvec's provider directory and GPU comparison tool to compare hyperbolic with alternatives on the same accelerator model. A like-for-like comparison avoids misleading conclusions caused by different GPU counts, CPUs, RAM allocations, or commitment terms.
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.
Visit hyperbolic →Get detailed information about hyperbolic's GPU cloud offerings, including available GPU models like RTX 4090, H100, A100, and L40S instances. Compare pricing structures, regional availability, and unique features that distinguish hyperbolic from other providers. Whether you need per-second billing, reserved instances, or spot pricing, understanding each provider's model helps you optimize your GPU spending.
Review the pricing structure for hyperbolic's GPU instances and compare hourly rates across different GPU models. GPUvec provides transparent pricing data so you can evaluate whether hyperbolic offers competitive rates for your AI training, inference, or rendering workloads compared to alternatives like RunPod, Vast.ai, or Lambda Labs.
See how hyperbolic stacks up against other GPU cloud providers in terms of pricing, GPU availability, geographic coverage, and unique features. Our detailed comparison helps you choose the best provider for your specific needs, whether you prioritize the lowest price per hour for RTX 4090 instances or the most reliable H100 availability for production workloads.