Hyperbolic is a blockchain-based AI infrastructure company that provides open-access AI computing and inference services. The company aims to democratize access to AI resources by aggregating idle GPU power worldwide, creating a decentralized network that offers affordable and scalable computing power for AI projects. Hyperbolic's platform leverages blockchain technology to ensure the security, transparency, and verifiability of its network operations.
The company's core offering is an AI inference service that allows developers and researchers to run popular AI models. Hyperbolic's network taps into the underutilized GPU resources of personal computers and data centers, addressing the global shortage of GPU capacity and the high costs associated with AI computing. The platform uses a special compiling stack to optimize AI models for efficient execution on various GPU types, including those from NVIDIA and AMD. The company also provides access to open-source LLMs, such as Meta’s Llama 3.1 405B, image-generation models like Stable Diffusion, vision-based models such as Cambrian, and audio generation models that include MeloTTS.
Hyperbolic's technology stack includes a decentralized orchestration layer called Hyper-dOS (Hyperbolic Distributed Operating System) and a proof-of-sampling consensus protocol that runs on an interoperable blockchain. The company provides access to open-source LLms, image-generation models, vision-based models, and audio-generation models. In April 2024, Hyperbolic launched a website showcasing its mission and core offerings, including running inference workloads, accessing powerful GPUs, and providing compute resources for monetization.
Key customers and partnerships
As of September 2024, its notable customers included Berkeley, New York University (NYU), Stanford University, and UC San Diego.
By using this site, you agree to allow SPEEDA Edge and our partners to use cookies for analytics and personalization. Visit our privacy policy for more information about our data collection practices.