Zoro, an AI on-chain platform for ML (machine learning) on BNB Chain, announced a strategic partnership with NodeGo AI, a decentralized network that allows users to monetize their idle computing resources.
The collaboration between the two firms aims to develop a more decentralized and stronger infrastructure for AI development (machine learning) focused on the Web3 ecosystem.
Zoro has expertise in developing the ‘data layer for AI’ and creating verified, labeled, and classified datasets crucial for training AI models. It leverages zero-knowledge proofs infrastructure and blockchain technology to ensure verified AI data analysis and data privacy.
On the other hand, NodeGo AI is an innovative decentralized platform whose mission is to empower businesses and users by transforming unutilized computing power into valuable resources for AI, digital innovation, and spatial computing. It has a ‘compute layer’ that assembles idle bandwidth, GPU, and CPU from a decentralized chain of users worldwide.
Zoro Goes For Decentralized Computing Power
Based on this partnership, Zoro will integrate its data processing and AI models into NodeGO AI’s distributed computing power. This implies that Zoro, which needs heavy computational power for AI functions (like complicated data analysis, AI model training, or inference) will now utilize NodeGo AI’s infrastructure instead of centralized cloud providers.
NodeGo AI’s network distributes that power to different Zoro’s AI models and roles that demand huge computing power and thorough training.
When AI models grow bigger and become more complicated (like the ones powered by Zoro), the drawbacks of relying on centralized computing become clear, namely expensive cost, scalability issues, and rising energy usage.
NodeGo AI runs a decentralized computing power, a solution to these challenges. It uses idle computing power (from distributed sources worldwide) tailored for AI businesses like Zoro.
Democratizing AI Usages in Web3
This collaboration between Zoro and NodeGo AI is important for the growth of Web3. First, it resolves a compelling need for decentralized AI infrastructure, moving away from the dependence on centralized cloud service providers for AI development. This is in line with the key Web3 ideals of user ownership, censorship-proof, and decentralization.
Secondly, NodeGo AI’s model of using idle computing power provides a more advanced and affordable solution for AI workloads compared to traditional, costly centralized data centers. This approach makes AI development accessible to all users, those with big budgets and even with small ones.
Moving down, Zoro’s usage of zero-knowledge proofs ensures confidential data utilized for AI training remains confidential while its verifiability and integrity are stored on-chain. This is essential for developing trust in artificial intelligence models and utilities in the digital environment where people are aware of privacy impacts.
Lastly, this collaboration introduces new opportunities for people to monetize their unutilized compute assets and contribute to artificial intelligence advancement, encouraging a more distributed and user-driven economy.
