Io.net (IO), a decentralized physical infrastructure network (DePIN) built on Solana that provides on-demand cost-effective GPU capacity for artificial intelligence (AI) workload, is pleased to disclose the cost-effective solution for computation. The basic aim of this announcement is to reveal the rising cost of AI computing and promote io.net as a strong and effective alternative for scalable compute power. Io.net has released this news through its official social media X account.
OpenAI expects to spend $121 billion on computing power for AI research in 2028. Yes, that says billion. While most AI developers are struggling to get access to the compute power they need to create sustainable businesses, AI giants will be spending hundreds of billions of…
— io.net (@ionet) April 6, 2026
Rising AI Costs Push Developers Toward Decentralized and Low-cost compute solutions like io.net
OpenAI is estimated to spend $121 billion on computing power for AI research in 2028, although it may still operate at an $85 billion loss. This abnormal figure of expenses indicates that extremely expensive AI development has entered the whole market, particularly for training and running advanced models. So, developers are facing hardships and are very worried about AI computation power because it is so expensive.
Io.net comes into the market with various approaches, such as utilizing a distributed network of GPUs globally, on-demand, and at a lower cost for developers, and also eliminates the need for centralized giants like traditional cloud systems. In fact, io.net is facilitating users by giving knowledge and drawing a reasonable comparison on the price of AI for computation.
io.net Offers Affordable and Decentralized Compute to Bridge Gap for Smaller AI Innovators
Io.net ensures that it is the best economic plan for users and developers who don’t have billions to spend on computation, restricted GPU accessibility, and computational infrastructure, and it builds a big hole between big AI companies and smaller innovators.
Io.net is the only network that actively focuses on relieving users from the huge amount of dollars on computations. Therefore, it is positioning itself as a cost-effective and efficient network for logical spending Moreover, it is also providing an open, flexible, and decentralized network that supports the future of AI and also satisfies users with a reasonable price for computation.
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