The AI Wave: Why Data-Center Demand Is Soaring AI models—especially generative AI—require enormous computing power to train, fine-tune, and run at scale. A single large language model demands thousands of GPUs, terabytes of memory, and an uninterrupted power supply. This shift has placed unprecedented pressure on infrastructure worldwide. Three main forces are driving the current boom: 1. Generative AI and Large-Scale Neural Models Every major tech company is accelerating AI development. Training runs that previously occurred once per year now happen monthly—or even weekly. Businesses of all sizes are integrating AI-driven services into apps, websites, and SaaS platforms. This requires scalable GPU clusters, low-latency storage, and massive bandwidth, pushing data-center operators to expand rapidly. 2. Cloud Adoption and Scalability Needs Cloud adoption is growing across industries—from government services to healthcare to retail. AI workloads multiply cloud demands, leading...