Today, training and fine-tuning of AI models is dominated by a handful of companies, requiring billions of dollars in compute and relying on proprietary cloud infra.

Decentralized training can help mitigate this dependency, enabling an open, verifiable, and community-driven approach to model training.

We mapped out key players across five categories:

→ Compute & Infra Layer

@gensynai, @PrimeIntellect, @fortytwonetwork, @exolabs

→ Data & Knowledge Networks

@PluralisHQ, @CerboAI, @flock_io, @exolabs, @Ammo_AI

→ Models

@PrimeIntellect, @NousResearch

→ Execution & Optimization

@MacrocosmosAI, @fortytwonetwork, @NousResearch, @CerboAI, @flock_io, Gradients by @rayon_labs

→ App Layer

@NousResearch, @Ammo_AI

Who else should be on this list?