This partnership will focus on using decentralized GPU clusters to offer a safer and more private environment for developers to build and deploy decentralized AI applications (dApps).
io.net, a project centered around decentralized infrastructure, has officially joined forces with Alpha Network in a collaboration that aims to enhance privacy and scalability for AI and Web3 applications.
This partnership will primarily utilize decentralized GPU clusters to provide a safer and more private environment for developers to build and deploy decentralized AI applications (dApps).
Alpha Network is notably the first decentralized data execution layer for AI, a model that enables data to be stored privately and processed without relying on centralized providers. Through this partnership, Alpha Network will be able to leverage io.net’s decentralized infrastructure to handle the sensitive data required for AI model training without compromising privacy.
io.net Leverages Alpha Network’s Security and Technology
One of the key aspects of this collaboration is the utilization of Alpha Network’s Zero-Knowledge (ZK) technology, which ensures that data remains private and protected throughout the AI training process, eliminating the need to trust large data centers or cloud services.
Furthermore, by leveraging io.net’s infrastructure, Alpha Network will be able to optimize the AI model training process, especially when working with large data volumes. This will be achieved through advanced data sharding and model generation solutions that will facilitate the use of more accessible and efficient infrastructures.
io.net, despite facing a setback with its IO token which has lost nearly 11% of its value over the past week, is making a significant bet on AI development with this partnership. Its focus on privacy and decentralization aligns with the growing trend within DePIN projects (Decentralized Physical Infrastructure Networks), which have shown strong growth in 2024, especially in relation to AI initiatives.
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