Introduction

Distributed Super Computing (hereinafter referred to as DSC) aims to build an infrastructure platform for the AI era, providing distributed AI computing power services. The platform features a complete business process for distributed computing power supply incentives, computing power scheduling and allocation, and purchasing computing power with platform currency for application. Through a decentralized mechanism, it coordinates and motivates both suppliers and demanders to expand computing power scale.

Utilizing distributed storage and underlying supercomputing technology systems (DSFS), the platform allows any individual or institution with computing power hardware to easily connect to the network, providing essential computing support to global AI developers, large model training teams, and metaverse development teams.

Features

• One-click deployment: Users can easily connect their computing devices to the platform.

• No geographical restrictions: Resources are shared globally, eliminating geographical barriers.

• Low cost: Compared to traditional AI computing power supplies, DSC can save up to 90% in computing costs.

• Decentralization: Utilizes a Web3 architecture for incentives, transactions, payments, and settlements, enhancing user experience and system efficiency.

Additionally, DSC supports various hardware types including, but not limited to, GPUs and CPUs. Through its high-performance computing and intelligent computing power scheduling subsystems, it provides powerful computing capabilities and efficient computing efficiency. The platform also prioritizes data security, protecting user data from leaks or attacks with multi-dimensional protective technologies.