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IO.NET builds a decentralized Computing Power platform targeting the $738.7 billion AI market.
AI Computing Power Demand Fuels Decentralization Computing Power Platform, How Does IO.NET Stand Out?
With the rapid development of artificial intelligence technology, the demand for high-performance computing resources such as GPUs is growing increasingly. Large technology companies are purchasing a large number of GPUs for AI model training and application development. Data shows that the AI market size is expected to grow from $241.8 billion in 2023 to $738.7 billion by 2030.
In this context, decentralized computing power platforms have emerged. IO.NET, as a leader in this field, provides comprehensive computing power support for AI applications from model training to inference by integrating distributed GPU resources.
IO.NET is built on the Ray.io machine learning framework, allowing anyone to join the network as a Computing Power provider or developer. The system dynamically adjusts Computing Power prices based on market supply and demand, and intelligently matches GPU resources with developer needs.
$IO is the native token of IO.NET, playing an important role in the network. Holders can stake to earn rewards, and Computing Power transactions are also settled using $IO. Currently, the total supply of $IO is 800 million, with a market value of approximately $360 million.
Compared to competitors like Akash and Nosana, IO.NET's advantages lie in its no-threshold access and rich API support. Anyone can contribute Computing Power resources, from consumer-grade GPUs to professional servers. This makes IO.NET likely to attract more idle Computing Power, creating a virtuous cycle.
However, whether IO.NET can achieve its grand vision still requires time to verify. Some issues that arose during the testnet also need to be resolved. But there is no doubt that the decentralized computing power platform is a highly promising track and deserves continued attention.