HorizonNode, a decentralized infrastructure protocol, has announced the launch of its Global Compute Mesh (GCM) — a distributed cloud network designed specifically to power Web3-native AI applications. As demand for machine learning and high-performance compute surges, HorizonNode aims to democratize access to GPU resources by transforming idle global hardware into a unified computation marketplace.
The GCM network allows GPU owners—from data centers to individual users—to contribute unused computational power in exchange for HZND tokens. Developers and enterprises can rent this compute capacity on demand, gaining access to scalable AI processing at a fraction of the cost of centralized cloud providers.
“At a time when compute resources are becoming scarce and centralized providers are increasing prices, we believe decentralized cloud infrastructure is the future,” said HorizonNode CEO Victor Liang. “Our network makes high-performance AI compute accessible, transparent, and censorship-resistant.”
Built on a modular blockchain architecture, the HorizonNode protocol supports real-time workloads, including LLM training, inference, 3D rendering, and complex scientific simulations. Using zero-knowledge attestation, the network verifies that computations were executed correctly without requiring trust in individual node operators.