Decentralized AI Infrastructure

London, United KingdomHealth 56/100

Gensyn is building a decentralized compute protocol specifically for deep learning training, enabling anyone with GPU hardware to contribute compute power to AI model training workloads. Based in London, the protocol uses cryptographic verification to ensure training integrity without centralized oversight, targeting the growing demand for AI training compute.

San Francisco, United StatesHealth 56/100

Akash Network is an open-source decentralized cloud computing marketplace built on Cosmos blockchain, enabling permissionless deployment of AI workloads, machine learning training, and inference at up to 85 percent lower cost than centralized providers. The platform connects GPU suppliers with compute buyers through reverse auction pricing and Kubernetes-native deployment.

Los Angeles, United StatesHealth 56/100

Render Network is a decentralized GPU computing platform that connects artists, developers, and AI researchers with idle GPU capacity from node operators worldwide. The protocol enables distributed rendering, AI model training, and inference workloads paid in RENDER tokens, providing an alternative to centralized cloud GPU providers at significantly lower cost.

New York, United StatesHealth 56/100

io.net aggregates underutilized GPU resources from data centers, cryptocurrency miners, and consumer hardware into a decentralized compute network for AI and machine learning workloads. The platform provides on-demand GPU clusters for AI model training and inference at a fraction of centralized cloud costs, serving AI startups and enterprises.