Io.net’s recently developed decentralized physical infrastructure network has moved into its beta phase, allowing GPU computing providers to plug into the platform.
Over 100,000 GPUs from data centers and private clusters are set to plug into a new decentralized physical infrastructure network beta launched by io.net., the startup has developed a decentralized network that sources GPU computing power from various geographically diverse data centers, cryptocurrency miners and decentralized storage providers to power machine learning and AI computing.
Whether you're a GPU provider or an ML engineer - tune in for the live demonstration of the platform and joinThe wider Web2 industry continues to look to tap into GPU computing from underutilized sources. Still, Green contends that none of these existing infrastructure providers cluster GPUs in the same way that io.net founder Ahmad Shadid has pioneered.
Green points to AI-focused solutions like Akash network, which clusters an average of 8 to 32 GPUs, as well as GenSyn, as the closest service providers in terms of functionality. The latter platform is building its own machine learning compute protocol to provide a peer-to-peer “supercluster” of computing resources.
As for its use of the Solana blockchain to facilitate payments to GPU computing providers, Green and Yi note that the sheer scale of transactions and inferences that io.net will facilitate would not be processable by any other network. The partnership with Render, an established DePIN network of distributed GPU suppliers, provides computing resources already deployed on its platform to io.net. Render’s network is primarily aimed at sourcing GPU rendering computing at lower costs and faster speeds than centralized cloud solutions.
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