io.net is set to roll out the largest decentralized network focused on GPU computing for artificial intelligence applications.
In Brief
io.net is focused on creating the largest decentralized network infrastructure dedicated to artificial intelligence processing.

As a key player in the decentralized cloud space, io.net has announced an ambitious project to create the world’s most significant Decentralized Physical Infrastructure Network aimed at supporting AI operations. This project will harness a massive pool of one million GPUs contributed by various independent computing power providers, addressing the critical shortage of GPUs needed for AI tasks. io.net In addition, io.net intends to build the first fully decentralized cloud ecosystem specifically engineered for machine learning applications.
The rapid growth of artificial intelligence has made GPU computing power an incredibly scarce and vital asset in the tech world. The demand for GPUs is skyrocketing at a staggering rate of tenfold every year and a half. Alongside this, the costs of training large AI models have ballooned by around 3,100% annually. Such trends have resulted in rising costs and longer wait times for cloud service access, thereby stifling innovation and leaving many AI startups in prolonged limbo.
To combat these ongoing challenges, io.net aims to tap into the idle GPU resources found in computers worldwide, including independent data centers with a mere 12-18% utilization rate and cryptocurrency mining operations that are struggling after Ethereum transitioned to a Proof-of-Stake model.
By unlocking the potential of GPU computing in a more accessible, flexible, and quickly deployable manner, io.net is gearing up to challenge established players like AWS, GCP, and Azure.
Ahmad Shadid, the Founder and CEO of io.net, stated, 'AI stands on the verge of sparking the Fourth Industrial Revolution; however, existing GPU providers are unable to keep pace with the required scale and speed of innovation. io.net will connect one million GPUs scattered across the globe in less than 90 seconds, ensuring instant access to the crucial processing power that AI startups need.'
The company claims that its innovative platform will allow users to deploy extensive GPU clusters with a single click, catering to demanding machine learning tasks and activating these systems in just 90 seconds. io.net asserts that their solution can offer GPU computing at costs up to 90% lower than current market competitors.
To achieve this vision, io.net plans to create a worldwide network of GPUs contributed by users, augmented by a rewards system to motivate participation.
The spectrum of contributors is anticipated to include miners, underutilized independent data centers, and crypto entities that have access to GPU resources. These GPU providers will be compensated for the computational power they supply, fostering a vibrant economic ecosystem aimed at elevating the AI industry.
A pivotal aspect of this initiative is bringing onboard cryptocurrency mining operations that host significant GPU power, especially as their profits have dwindled in the current market. io.net argues that by shifting their farms to focus on GPU provision, these miners could see profit margins increase by up to 1,500% while utilizing less energy.
Currently, io.net reports having 36,000 GPUs ready for action, as they work towards achieving their target of one million GPUs.
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In line with the Trust Project guidelines Victor, a Managing Tech Editor and Writer at Metaverse Post, extensively covers topics related to artificial intelligence, cryptocurrency, data science, the metaverse, and cybersecurity in the enterprise sector. With five years of media experience and a rich background in AI journalism at prominent platforms like VentureBeat, DatatechVibe, and Analytics India Magazine, he takes pride in mentoring media students at esteemed institutions like Oxford and USC. With a Master’s degree in data science and analytics, Victor is committed to staying updated on the latest trends.