New York | 21st October 2025: io.net, the decentralized compute platform for AI, today achieved a major milestone surpassing io.net Surpasses $20M in total network earnings as a cost-effective readily available compute at scale platform, serving the startup, scale-up and enterprise community globally.
Developing and deploying AI capabilities takes significant compute. Statistics show traditional compute options, procured through hyperscalers, result in long wait times, commit users through long-term contracts, and require users to operate within their proprietary standards to run their workload, and compute users have no idea what the actual pricing of the hardware associated to support an AI workload to support an AI workloads.
io.net is a decentralized physical infrastructure network (DePIN) with 1000's of GPU's instantaneously available for use, allowing startups, scale-ups, enterprises and researchers to access high-performance compute at 70% the cost of the traditional cloud providers while their platform does let them experience vendor lock-in situations. Because io.net is blockchain-based, a level of transparency and trust not available with centralized cloud compute providers is attainable, because all compute transactions are visible to each user of the network, and the AI tooling is open source.
Since io.net's launch in July 2024, teams building generative AI models and applications have pulled down over $20 million in compute through the network. Developers have the option to choose from a variety of native GPUs to balance cost and performance for every workload, including the H200 enterprise-grade unit and the 4090 consumer-grade unit, through hosting locations in over 130 countries across the globe.
“We have hit a landmark showing decentralized compute is a genuine enabler of innovation as it brings GPU technology to the scale-ups and researchers who are exploring the boundaries of AI at a reasonable cost at scale,” said Gaurav Sharma, CEO of io.net. “I greatly appreciate the continued commitment by the io.net team and our partners to change how we access hardware. We want to provide our improved model for developing and deploying AI to innovators everywhere.”
Tory Green, Co-Founder of io.net and CEO of the IOG Foundation, which is dedicated to the development of the io.net ecosystem, stated: “The io.net community has grown from strength to strength over the last year, creating new AI models, agents and applications using cost-effective and accessible compute. We are doubling down on our colorful ecosystem of community driven, funded exciting projects and ambitious entrepreneurs to ensure io.net is the best place on earth for the world’s best AI builders."
Innovation leaders in AI are building on io.net's distributed network of GPUs, including Canva's Leonardo AI, UC Berkeley, Sahara AI and many more. Today’s announcement comes shortly after the IOG Foundation commenced a grant program that allocates 20 million IO tokens for its flagship grant program to enable startups, scale-ups and researchers to build game-changing applications using decentralized compute with high performance.
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With the world’s largest network of distributed GPUs and high-performance, on-demand compute, io.net is the only platform developers and organizations need to train models, run agents and scale LLM infrastructure. Combining the cost-effective and builder-friendly programmable infrastructure of io.cloud with the unified and API-accessible toolkit of io.intelligence, io.net is the full stack for large-scale AI startups
Mona Porwal is an experienced crypto writer with two years in blockchain and digital currencies. She simplifies complex topics, making crypto easy for everyone to understand. Whether it’s Bitcoin, altcoins, NFTs, or DeFi, Mona explains the latest trends in a clear and concise way. She stays updated on market news, price movements, and emerging developments to provide valuable insights. Her articles help both beginners and experienced investors navigate the ever-evolving crypto space. Mona strongly believes in blockchain’s future and its impact on global finance.