Industry Analysis
NVIDIA’s renewed sales acceleration isn’t just an AI demand rebound—it signals a fundamental reshaping of the compute stack. Upstream, TSMC’s CoWoS capacity and HBM supply constrain delivery; downstream, xAI and peers, flush with IPO liquidity, are shifting from GPU reliance to custom ASICs amid soaring training costs. Geopolitically, U.S. export controls compel NVIDIA to engineer compliance-specific SKUs like A800, inflating operational complexity. AMD’s MI300X and emerging players in Taiwan, China are closing the gap, yet NVIDIA counters by deepening CUDA lock-in—though the EU’s Digital Markets Act threatens that moat. If history echoes Cisco’s cycle, the next 18 months are critical: as AI capex pivots from scale to efficiency, raw compute dominance alone won’t sustain growth.
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