AI and Mining Data Centers Convergence

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HodlX Guest Post Submit Your Post In recent months, AI (artificial intelligence) workloads have gone from theoretical benchmarks to real-time economic pressure on global infrastructure. From language models serving millions of queries per hour to diffusion models requiring vast GPU clusters for inference, the strain on power grids and compute resources is accelerating. Surprisingly, the infrastructure best positioned to absorb this load isn’t housed in Silicon Valley or hyperscale server farms –...