Boundless, a distributed compute startup, is broadening the use of its 4,000-GPU cluster beyond zero-knowledge proofs to include AI workloads. The network was originally built to generate and settle ZK proofs for Ethereum and Base transactions, anchoring them on Bitcoin. By repurposing the same hardware for AI compute, the company aims to tap growing demand for processing power in machine learning and related applications. The move reflects a broader trend of crypto infrastructure providers seeking additional revenue streams as the market for GPU-based computation expands. It also positions Boundless to compete in the increasingly crowded decentralized compute sector, where projects are marketing distributed hardware as an alternative to centralized cloud providers. The expansion signals that ZK proof generation and AI training can share underlying resources, potentially improving utilization of the startup's existing GPU fleet.
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