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With its simple melody, repetitive lyrics, and adorable shark family, the "Baby Shark" original song has exploded since its release in 2015 and quickly spread to many countries around the world, becoming a global cultural phenomenon and spawning many secondary creations. Judging from the development trend, the popularity of "Baby Shark meme" in the field of social media and entertainment will continue in the short term; In the long term, it has great potential for cross-industry cooperation and brand expansion.

This article provides an in-depth introduction to Io.net, a decentralized computing network based on the public chain Solana, which not only aims to alleviate the current shortage of resources but supports the ongoing development of AI technology. We will explore the core functionalities of these products, how they provide more computational power to users, and simplify the deployment and management of GPU/CPU resources, offering a flexible, scalable computing solution.

This article provides a detailed introduction to io.net, a decentralized GPU network aimed at providing computing power for machine learning. The project integrates computing resources from independent data centers and cryptocurrency miners worldwide, offering users low-cost, highly available GPU computing services.

io.net, leveraging Solana, Render, Ray, and Filecoin, is a distributed GPU system designed to harness decentralized GPU resources to tackle AI and machine learning computational challenges.

DeSci (Decentralized Science) projects are an emerging concept and practice based on blockchain technology, aimed at transforming traditional scientific research and dissemination models through decentralization. The goal of DeSci is to address some key issues in the current scientific research field, such as high publication fees, lack of data transparency, disputes over research ownership, and the lack of trust in funding mechanisms among the public and scientists.

This article will organize the key information of the AI decentralized computing project: the IO.NET project, including product logic, competitive situation, and project background. It also provides valuation estimations, analyzing the valuation from different perspectives through data analysis, and offering a reference calculation for valuation.

The article delves deeply into the commercial necessity of combining AI with Web3, emphasizing the importance and challenges of distributed computing power services. It pays special attention to the IO.NET project, a distributed AI computing power platform, aiming to incentivize the convergence of AI computing power through a token model, providing flexible, rapid deployment, and low-cost AI computing services. The article analyzes the product logic, team background, and financing situation of IO.NET, and it also forecasts its potential market value. Additionally, the article discusses the development trend of the distributed computing market and possible influencing factors.