Github of AI Models

Correlation with AI Model Hub and Training:

The decentralized GPU renting approach is closely integrated with the AI model hub and training processes. Developers in need of processing power for training AI models can tap into this pool of decentralized resources, bypassing traditional constraints and costs associated with centralized cloud services.

Proof of Compute Layer:

The integrity of computations performed on rented GPUs is safeguarded by the Proof of Compute layer, which ensures that all processed data and resultant AI models are validated, maintaining the trust of all parties involved.

Forming a Hub for AI Developers and Users:

Cluster Protocol combines these elements—decentralized GPU renting, AI model hub, training facilitation, and Proof of Compute—into a unified platform. This ecosystem enables AI developers to access necessary resources for training and deploying AI models while ensuring computation integrity and providing GPU owners with a stream of passive income. By aligning incentives and resources, Cluster Protocol is poised to become a central hub for AI developers and users, fostering innovation and accelerating AI advancement in an open and accessible manner.