Source: Featured Blogs - Forrester
Forrester argues that enterprises have underestimated the physical and architectural demands of running generative AI in production. Moving from experimentation to mission-critical deployment will expose gaps in data center capacity, power delivery, cooling, and network architecture. Current infrastructure wasn't built for this scale. Companies will need substantial capital investments sooner than planned. AI workloads consume orders of magnitude more compute and energy than traditional applications. Enterprises that haven't begun expansion plans will face real bottlenecks.