
The transition from experimental artificial intelligence pilots to massive, revenue-generating production environments has fundamentally redefined how modern corporations evaluate their underlying hardware requirements. As the novelty of generative models wears off, the focus has shifted toward operational efficiency, cost management, and the raw speed of inference at scale. Decisions made today regarding where these complex workloads reside will dictate whether










