Global AI and machine learning applications are in dire need of GPU, but large cloud providers have limited resources, weak elasticity, and high costs. io.net has emerged to aggregate idle GPUs scattered around the world, creating a decentralized Computing Power public infrastructure that allows more developers to access computational power equally, meeting diverse scenario needs.
The io.net computing network is optimized for Python and AI/ML workflows, including model inference, parallel training, hyperparameter tuning, and reinforcement learning. The platform features automated orchestration, fault tolerance, and elastic scheduling, addressing cloud inflexibility and cost barriers for engineers, and establishing a new standard for decentralized training and model services.
$IO is the economic fuel of the entire network. Out of a total supply of 800 million, 500 million were released upon the mainnet launch, and the remaining 300 million will be distributed in batches over 20 years to suppliers and stakers. Tokens are dynamically issued every hour, with a gradual reduction each year to ensure stability and provide long-term incentives. More uniquely, io.net combines revenue buybacks and automatically destroys $IO, enhancing scarcity as economic activities grow, while also possessing deflationary value preservation characteristics.
io.net releases the dominance of computing power services from centralized cloud companies to global developers through an open, trustless DePIN architecture. The design of the $IO token and its self-driven economic mechanism injects new vitality into the computing power competition of the digital age, accelerating AI applications and the decentralized economy.
io.net is a revolutionary platform that truly brings the spirit of Web3 into the AI infrastructure field. In today’s world where Computing Power is monopolized and AI is centralized, io.net attempts to use the power of Decentralization to open another door to an open, free, and fair Computing Power economy.