io.net Partners with OpenLedger to Scale Decentralized AI Innovation
Blockchain compute network io.net has partnered with OpenLedger, a data blockchain for AI, to advance decentralized AI development. The collaboration allows OpenLedger to leverage io.net’s distributed GPU infrastructure to accelerate AI model training, inference, and hosting, enhancing performance and scalability.
By utilizing io.net’s decentralized GPU network, OpenLedger aims to refine its high-quality datasets into specialized AI models for smarter, more efficient dapps. The partnership aligns with OpenLedger’s mission of fostering a transparent and collaborative AI ecosystem.
“Our collaboration with io.net unlocks the full potential of our high-quality datanets, using the contributed data to create specialized AI models,” said OpenLedger’s team. io.net VP Tausif Ahmad added, “By leveraging io.net’s GPU infrastructure, our protocol users will be able to fine-tune AI models more efficiently, ensuring optimal performance and scalability.”
The partnership between OpenLedger and io.net leverages io.net’s decentralized GPU infrastructure to provide a cost-effective, scalable compute solution. This enables OpenLedger to expand its services while avoiding the high costs and limitations of traditional centralized cloud providers. By tapping into io.net’s resources, OpenLedger can scale operations, process larger datasets, and develop advanced AI models with greater efficiency, pushing the boundaries of innovation in decentralized AI.
The collaboration unlocks new use cases for AI models, utilizing OpenLedger’s high-quality datanets and contributed data to fine-tune these models for scalability and reliability. This positions OpenLedger as a leader in fostering a decentralized ecosystem for trustworthy and accessible AI solutions. Moreover, the partnership aligns with OpenLedger’s mission to create an open, collaborative data environment and drive the adoption of blockchain-powered AI technologies.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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