Unlike centralized cloud providers, decentralized AI (DAI) divides the computational processes for AI inference and training across multiple systems, networks, and locations. When implemented correctly, these networks, a type of decentralized physical infrastructure network (DePIN), offer advantages in censorship resistance, computational access, and cost.
