Hyperbolic, as a platform focusing on AI cloud services, is centrally positioned to provide cost-effective GPU resources and inference services for edge AI users. By integrating distributed computing resources, the platform breaks the high-priced monopoly model of traditional cloud computing vendors and adopts an innovative resource sharing mechanism to significantly reduce user costs.
Its technical architecture contains three core modules: first, a diversified GPU leasing system supports full-stack choices from consumer-grade graphics cards to professional-grade gas pedals; second, an original resource-sharing economic model allows individuals and enterprises to rent out idle arithmetic; and lastly, a one-stop AI inference service supports plug-and-play use of mainstream deep learning frameworks. This trinity service model reduces the computing cost of research organizations by an average of 571 TP3T, and shortens the AI model deployment cycle of startups by 801 TP3T.
The platform is specially designed with an intelligent resource scheduling algorithm that automatically matches the optimal GPU combinations based on task types, keeping the TCO (Total Cost of Ownership) below 1/3 of the same configured instances in AWS in practice. According to the Q3 2023 Operations Report, more than 1,200 developers have gained professional-grade computing power through the platform.
This answer comes from the articleHyperbolic: Providing Affordable GPU Access and AI Inference ServicesThe
