IO.net is leading the decentralized GPU movement for AI by offering scalable compute power through over 30,000 GPUs globally as of November 2025.
This network provides affordable, censorship-resistant solutions for AI developers and enterprises, estimated at 70% lower cost than traditional options, driving significant industry interest.
IO.net is expanding its decentralized GPU network, aiming to reduce AI compute costs by up to 70% and challenge traditional models.
This expansion involves connecting over 30,000 GPUs, striving to establish the largest decentralized network for AI developers.
IO.net Adds 30,000 GPUs for AI Expansion
IO.net has connected over 30,000 GPUs to its network, providing scalable and affordable AI compute. This expansion reflects the company’s goal to establish the largest decentralized GPU network for AI developers and enterprises.
Under the leadership of CEO Justin Giudici, IO.net is transforming AI infrastructure through decentralized solutions. The network offers cost-efficient compute resources and aims to disrupt traditional centralized models.
AI Costs Slashed by 70% with New Initiative
The initiative has led to costs up to 70% lower than traditional solutions. Industry leaders such as Arthur Hayes have endorsed the project, highlighting its potential to reshape the AI compute landscape.
Analysts predict that IO.net’s move could influence regulated AI sectors, ensuring compliance with global standards. Data shows a 25% monthly increase in staking, suggesting strong community support.
Precedents Set by Render and Akash Networks
Pioneering decentralized compute projects like Render Network and Akash Network set the stage for IO.net’s advancements. The decentralized model has proven viable for AI and rendering applications.
Crypto experts see IO.net’s growth as a natural evolution of decentralized AI compute. Historical data supports the trend, with projects like Render Network experiencing significant demand spikes in previous years.
“We are building the largest decentralized GPU network to power the next generation of AI. By connecting idle GPUs worldwide, we unlock affordable, scalable, and censorship-resistant compute for developers and enterprises.” — Justin Giudici, CEO, IO.net
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