Decentralized AI Training Accelerates as Scale Gap Narrows
Decentralized training is gaining momentum as a credible alternative to centralized artificial intelligence development, reshaping how future models may be built and deployed. Recent analysis highlights how distributed training systems are expanding at a pace that far exceeds traditional centralized approaches, driven by rising concerns over data concentration, system fragility, and access to compute. Rather […]