Zoro partners with Nodego AI to unlock AI decentralized machine learning capabilities

Zoro, the AI-on-chain platform for BNB chain ML (machine learning) has announced a strategic partnership with Nodego AI, a distributed network that allows users to monetize idle computing resources.

The collaboration between the two companies aims to develop a more decentralized and powerful infrastructure for AI development (machine learning) focused on the Web3 ecosystem.

Zoro has the expertise in developing “AI Data Layers” and creating important datasets for training AI models, creating labeled and classified datasets. Leverage Zero Knowledge Proof Infrastructure and Blockchain Technology to ensure validated AI data analytics and data privacy.

Meanwhile, 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. There is a “calculation layer” that assembles idle bandwidth, GPUs, and CPUs from distributed user chains around the world.

Zoro seeks distributed computing power

Based on this partnership, Zoro integrates data processing and AI models into the distributed computing power of Nodego AI. This means that Zoro, which requires heavy computing power for AI functions (such as complex data analysis, AI model training, or inference), will utilize Nodego AI infrastructure instead of centralized cloud providers.

The Nodego AI network distributes its power into a variety of Zoro AI models and roles that require enormous computing power and intensive training.

As AI models grow larger and more complex (like those with Zoro), the drawback of relying on centralized computing becomes clear.

Nodego AI implements distributed computing power, the solution to these challenges. It uses idle computing power (from distributed sources around the world) to suit AI businesses like Zoro.

Democratization of AI use on Web3

This collaboration between Zoro and Nodego AI is important for Web3's growth. First, we resolve the persuasive need for distributed AI infrastructure, apart from reliance on centralized cloud service providers for AI development. This is consistent with the key Web3 ideals of user ownership, anti-censorship and decentralization.

Second, Nodego AI models using idle computing power offer a more sophisticated and affordable solution for AI workloads compared to traditional, costly centralized data centers. This approach allows AI development to be accessible to all users, users with large budgets, and even small users.

When you descend, Zoro's Zero-knowledge Proofs ensures the sensitive data used for AI training, but its verifiability and integrity are stored on the chain. This is essential for developing trust in artificial intelligence models and utilities in digital environments where people recognize the impact of privacy.

Finally, this collaboration will introduce new opportunities for people to monetize unused computed assets and contribute to the advancement of artificial intelligence, promoting a more distributed and user-driven economy.