Business Overview and Team Background: IO.net is a decentralized GPU network designed to provide computing power for machine learning (ML). It obtains computing power by aggregating more than 1 million GPUs from independent data centers, cryptocurrency miners, and projects such as Filecoin and Render. The goal of $IO .net is to combine these GPUs into an enterprise-level distributed computing network to provide artificial intelligence engineers with lower-priced, easier-to-obtain, and more flexibly adaptable network computing resource services.

Financing situation: IO.net announced on March 5, 2024 that it had completed a US$30 million Series A financing, led by Hack VC. Other participating investment institutions include Multicoin Capital, 6th Man Ventures, Delphi Digital, etc. This financing action not only demonstrates the market potential of IO.net, but also attracts widespread attention in the industry.

Technology implementation and market positioning: IO.net significantly reduces costs and improves computing efficiency by building a decentralized GPU computing network and utilizing globally distributed idle GPU resources. Compared with traditional centralized computing centers, IO.net's decentralized model reduces the need for large-scale hardware procurement and maintenance, significantly reducing initial investment and operating costs. In addition, IO.net's service cost is 90% lower than that of traditional cloud service providers, and it can be deployed within seconds. This rapid response capability meets the market's high demand for efficiency.

Market impact and future development: IO.net’s decentralized cloud computing power platform aims to solve the computing power requirements and cost issues in AI large model training. By mobilizing the idle computing power of IDC data centers, cryptocurrency mines and ordinary users, IO.net has accumulated a large amount of idle and low-cost computing power. The emergence of this platform is regarded as the first rigid demand scenario that combines the Crypto governance framework and AI training demand scenarios, and is of great significance to the development of the AI+DePIN track.

Overall, the development prospects of #io项目 .net look very positive. Its decentralized GPU computing network has shown significant advantages in reducing costs and improving computing efficiency. At the same time, its financing and technological progress also indicate the market’s appetite for it. its recognition and expectations. #IO去中心化算力网络