Artificial intelligence models require massive, continuous computational bandwidth. Centralized servers currently create a severe bottleneck for developers training new neural networks. Decentralized compute protocols are stepping in to aggregate idle GPU power globally, creating a permissionless, verifiable marketplace for processing power. If your thesis ignores the structural convergence of cryptographic networks and machine learning, you are overlooking the foundational hardware layer of the next digital economy.

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