Nvidia CEO Jensen Huang repeated his forecast that global AI infrastructure spending will reach $3 trillion to $4 trillion annually by the end of the decade, matching the call he made at the same Goldman Sachs Communacopia + Technology Conference a year earlier. Nvidia reported fiscal Q2 2027 revenue of $96.2 billion, up 106% from a year earlier, including $89 billion from data centers. Huang linked the acceleration partly to the effective stalling of Moore's Law, which has pushed companies toward increasingly specialized AI hardware. Memory chip availability is now the main constraint on Nvidia's ability to ship more products. Hopper GPUs cost about $18,000 per unit, Blackwell chips roughly $25,000 and the forthcoming Vera Rubin platform approximately $40,000. Hyperscalers are expected to lift combined capital spending from about $800 billion in 2026 to $1.3 trillion in 2027, a rise of around 60%. Nvidia has partnered with major financial firms to channel more than $500 billion into AI data-center projects and projects about 70% revenue growth for fiscal 2028, compared with an analyst consensus of roughly 45%. The supply constraints are also creating potential opportunities for high-bandwidth memory and advanced-packaging companies, while encouraging hyperscalers to consider competing chip architectures and diversify suppliers.