OpenLoop is building a decentralized framework for training and deploying machine learning models through distributed compute nodes. Anyone can contribute resources — GPUs, datasets, or algorithmic logic and earn rewards based on their participation. The project enables collaborative AI model development without relying on centralized cloud infrastructure. This aligns closely with the DePIN x DeAI narrative, merging decentralized physical compute power with AI workloads in a modular, permissionless architecture.
