Hyperbolic provides an open-access AI cloud that aggregates global GPU resources, enabling users to run AI inference and access compute power at significantly reduced costs. The platform addresses the high expenses associated with traditional cloud services by offering flexible, pay-as-you-go GPU access and opportunities for individuals and data centers to monetize idle machines.
Funding
$19M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+7Founders
Product
Problem
AI development and deployment are often hindered by the high costs and limited availability of GPU resources from traditional cloud providers. Securing long-term GPU rental agreements can be restrictive, while pay-as-you-go services can quickly become expensive, especially for researchers, startups, and individual developers. This computational bottleneck slows down innovation and restricts access to AI for many potential users.
Solution
Hyperbolic provides an open-access AI cloud that aggregates globally distributed GPU resources, offering accessible, affordable, and scalable compute for AI inference and model training. The platform enables users to run AI models and access high-performance GPUs like A100 and H100 at significantly reduced costs compared to conventional cloud services. Hyperbolic also allows individuals and data centers to monetize their idle GPU capacity, creating a decentralized marketplace that optimizes resource utilization and lowers the barrier to entry for AI development. By providing a hardware-agnostic platform with fault-tolerant designs, Hyperbolic ensures reliable, secure, and equitable access to AI compute.
Target Audience
The primary target audience includes AI researchers, startups, companies, and individual developers who require affordable and scalable GPU resources for AI development, inference, and training, as well as data centers and individuals looking to monetize idle GPU capacity.
Features
- On-demand access to a wide range of GPUs, including A100 and H100, with pay-as-you-go pricing
- Support for AI inference and model training workloads
- Global aggregation of GPU resources to maximize availability and reduce costs
- Compute monetization for individuals and data centers with idle GPU capacity
- Hardware-agnostic platform that supports various GPU types
- Fault-tolerant architecture with real-time backups for high availability
- Secure infrastructure with state-of-the-art cryptography and confidential computation
- VS Code extension for managing GPUs directly within the development environment