OpenGradient is a decentralized network built for AI inference, where every computation can be cryptographically verified without relying on any single party. Models run across a permissionless set of specialized compute nodes, proofs settle on-chain, and the entire request-to-response pipeline is auditable. Rather than wrapping existing AI APIs, OpenGradient ships a full infrastructure stack: a purpose-built blockchain paired with GPU compute nodes, all organized around the principle that AI inference should be verifiable by default. AI workloads have different requirements than financial transactions. Inference takes seconds rather than milliseconds, needs GPUs rather than CPUs, and handles large unstructured data. Having every validator re-execute every computation simply does not scale. OpenGradient’s answer is a Hybrid AI Compute Architecture (HACA) that separates execution from verification. Inference requests go directly to specialized compute nodes and return with web2-like lat




















