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Post: May 19, 2025 4:17 Pm Update: May 19, 2025 4:17 PM
Edit and fact confirmation: May 19, 2025 4:17 pm
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Io.net’s CEO, Gaurav Sharma, is planning to break the AI infrastructure in the hands of the architect by breaking the grip of the Big Tech for the Compute, not the technology giants, driven by the Global Contributors.
In the world, which is increasingly dependent on artificial intelligence, access to high -performance computing has become one of the most influential choke points in technology. Gaurav Sharma, the CEO of Io.net, is performing a task of completely distributing and fixing it.
While talking with us in Hack Seasons, Sharma presented the vision of Compute Infrastructure, which is not owned by a technology giant, and a global contribution network of GPU miners, data centers and daily users (GPU miners, data centers and everyday users.
Sharma said, “AI is effectively monopolized by three companies of Amazon, Google and Microsoft.” We are here to break the model and return to builders. “
From Web2 scale to Web3 purpose
Sharma’s background reflects the deep understanding of the Internet size system. Prior to Io.net, he spent more than 10 years in building a large -scale platform that provides more than 100 million users, including hotels and flight reservation engines. It also led the development of KYC infrastructure used by more than 200 million people around the world.
But I witnessed the centralization of the AI infrastructure that promoted the production of Io.net.
“Builders were priced in innovation,” he said. “We wanted to provide them with the resources needed to compete and create without seeing the centralized players.”
Global mesh of computing
At the heart of IO.NET is a global GPU network over 130 countries. Instead of building a centralized data center, if you use IO.NET, people with Spare Compute, from individuals with game leagues to data centers that lack infrastructure, can contribute to the network through lightweight Docker -based modules known as IO operators.
Gaurav said, “Think like a computing Airbnb.” Like the hotel inventory that is unlocked by Airbnb, we are unlocking GPUs around the world by allowing someone to rent a room. “
This decentralized approach provides a large advantage. Low waiting time, increasing availability, and computing is often closer to users than the existing cloud area. More importantly, it is up to 70% cheaper than legacy providers.
“We do not deliver these indirect costs to our customers because we do not own the infrastructure.” “The user pays only for the computing you use.”
It was made for the actual AI workload
Sharma emphasized the flexibility of IO.NET, which supports everything from decentralized reasoning to large model education. Regardless of whether a user needs 1,500 GPUs in a country, the platform can be provided thanks to a strong relationship with a computing supplier, regardless of whether a cluster is distributed over the continent.
“We are not just the theory of extensions.” We have already recorded more than $ 40 million, and this growth continues directly from developers who save money and expand faster. “
Scaling for purposes
Sharma says that through real functions such as Kubernetes support, virtual machine, and “Bring-Your-Model” features through basic demand and supply, Sharma says, Sharma says.
These are already in the engineering pipeline, which is not a terrible roadmap, but as a proven blueprint for Sharma’s enterprise experience.
“We are executed without experimenting,” he said. “And the more we deliver, the more words are spread. This is the power of this space. The community is led.”
Architect
Sharma’s energy was contagious in the hacking season. For him, this event is not about business development, but creatively recharging.
“As a builder, we often get a tunnel vision. This event is connected, inspected and inspired again.”
Through the trajectory of Io.net, Sharma and his team are more than just building a simple infrastructure. They are reconstructing access to the future of AI. One GPU at a time.
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About the author
Victoria is a writer about various technical topics, including Web3.0, AI and Cryptocurrencies. Through her extensive experience, she can write insightful articles for more audience.
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Victoria D ‘E is
Victoria is a writer about various technical topics, including Web3.0, AI and Cryptocurrencies. Through her extensive experience, she can write insightful articles for more audience.