Hyperbolic
Open-access AI cloud for GPU compute and inference
Last reviewed Mar 14, 2026
Hyperbolic is an open-access AI cloud offering on-demand GPUs, reserved clusters, and private cloud infrastructure sourced from a global network of compute providers, along with an OpenAI-compatible inference API.
Available GPUs
Hourly on-demand pricing. Click column headers to sort.
Prices last updated: October 7, 2026
Hyperbolic pricing by GPU
Configurations, price rank, and alternatives for one GPU at a time.
Pros & Cons
Advantages
- Deploy GPU clusters in minutes with no quota limits or sales calls
- OpenAI-compatible API for minimal code changes when switching
- Transparent pricing with pay-as-you-go model and no hidden fees
- Serving exclusive models like Llama-3.1-405B-Base in BF16
- Global network of compute providers supplying on-demand, reserved, and private cloud capacity
Limitations
- Multi-tenant by design for on-demand clusters may not suit all workloads
- Newer platform compared to established cloud hyperscalers
- GPU availability varies by product, supply, region, and configuration
Key Features
On-Demand GPUs
Self-serve H100, H200, B200, and other GPU instances launched in minutes from the dashboard with no commitment or quota limits
Serverless Inference
Access latest state-of-the-art AI models in one click with OpenAI-compatible API
Reserved Clusters
Reserve the same on-demand capacity for a fixed term of under one year at a discounted rate, self-serve in the app
Private Cloud
Dedicated, isolated GPU infrastructure from Hyperbolic's supplier network for long-term enterprise and sensitive workloads
Dedicated Endpoints
Host high-throughput inference with unlimited requests and hourly pricing
Pre-built Docker Images
Skip setup and launch GPU workloads instantly with ready-to-use images for PyTorch, TensorFlow, and CUDA
Pricing Options
| Option | Details |
|---|---|
| On-Demand Clusters | Multi-tenant GPU clusters with instant deployment and pay-as-you-go pricing |
| Reserved Clusters | Fixed-term commitments of under one year, paid up front, at a discount to on-demand rates |
| Private Cloud | Custom long-term commitments for dedicated, isolated infrastructure |
| Serverless Inference | Pay-per-use inference API with no infrastructure management required |
| Dedicated Hosting | Single-tenant GPUs with private endpoints and hourly pricing |
Availability & Support
Support
Documentation available, self-service console, and AI consulting services for scaling teams
Getting Started
- 1
Create an account
Sign up at app.hyperbolic.ai with no forms or sales calls required
- 2
Set up payment
Pay with credit card, wire/ACH upfront, or cryptocurrency
- 3
Launch your first instance
Choose GPU type and count in the console and deploy in minutes with SSH access
Frequently Asked Questions
What GPU types does Hyperbolic offer?
Hyperbolic offers various GPU types including H100 SXM, H200, B200. Check the pricing table above for current availability and pricing.
How do I get started with Hyperbolic?
Create an account, Set up payment, Launch your first instance
What are Hyperbolic's main advantages?
Hyperbolic's main advantages include: Deploy GPU clusters in minutes with no quota limits or sales calls, OpenAI-compatible API for minimal code changes when switching, Transparent pricing with pay-as-you-go model and no hidden fees, Serving exclusive models like Llama-3.1-405B-Base in BF16, Global network of compute providers supplying on-demand, reserved, and private cloud capacity.
What are Hyperbolic's limitations?
Hyperbolic's main limitations include: Multi-tenant by design for on-demand clusters may not suit all workloads, Newer platform compared to established cloud hyperscalers, GPU availability varies by product, supply, region, and configuration.
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