
Jakarta, Pintu News – Jack Collier, Chief Growth Officer at IO.net, has demonstrated a unique path through the crypto industry with experience from Circle and Near Protocol. Speaking at the main event of Korea Blockchain Week, Collier emphasized the real value that IO.net offers today, in contrast to many Web3 projects that only promise utility in the future.
The platform connects globally available GPU resources, creating a decentralized computing network that already serves large enterprises.
IO.net originally targeted Web3 projects, but has now expanded the market to Web2 businesses, casual startups, and large enterprises. In the past six to twelve months, revenue growth has been driven by this segment. Collier mentions some successful use cases, such as cooperation with Leonardo.ai, now part of Canva, and UC Berkeley, both of which recorded significant savings in computing costs thanks to IO.net’s decentralized network.
The balance of GPU supply and demand is carefully maintained to ensure continuous operation. The utilization rate shown by IO Explorer is around 50%, allowing access for new users while maintaining GPU availability. Collier explained that an increase in demand will be followed by an increase in supply, ensuring a dynamic balance between need and availability.
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IO.net recently launched IO Intelligence, an automated AI model deployment platform that has influenced enterprise adoption and developer engagement. The platform provides an open-source layer infrastructure that integrates the various tools developers need, allowing them to perform all tasks in a single platform. This reduces the need to subscribe to separate services and facilitates better integration.
In addition, IO.net developed a Virtual Machine as a Service (VMaaS) service that gives users more flexibility in interacting with the GPU. VMaaS allows the installation of pre-installed operating systems on the chipset, making it easy to use alongside existing systems without changing the underlying hardware.
To ensure reliable uptime and consistent performance across the highly decentralized GPU pool, IO.net uses blockchain to verify and secure supply. Each provider must deposit IO tokens as a guarantee of their chipset performance. An integrated disincentive mechanism deducts staking if the device does not perform as claimed, providing confidence to consumers.
In the face of regulatory and data sovereignty challenges, IO.net works with local providers in different regions to ensure compliance with local and regional regulations. This enables data compliance and transparency that can be tracked through the blockchain.
With an innovative and sustainable approach, IO.net demonstrates how Web3 technologies can address real problems faced by global AI projects. Through decentralized networking and integrated solutions, IO.net not only reduces computing costs but also increases reliability and security in data processing.
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