Industry Analysis
NVIDIA’s dominance is triggering a deep-stack technological lock-in: its GPUs not only set the de facto standard for AI training but also force software (e.g., CUDA) and hardware (e.g., NVLink, liquid cooling) ecosystems to co-evolve around its architecture. This raises compliance and validation costs for rivals like AMD—especially under U.S. export controls targeting AI chips to China. While AMD’s stock surges, real competition hinges on securing long-term slots in hyperscalers’ procurement roadmaps; Microsoft and Meta are adopting cautious 'NVIDIA-plus' diversification, not wholesale substitution. Over the next 18 months, even before Rubin succeeds Blackwell, NVIDIA’s installed base of million-GPU clusters and custom IP will continue channeling the bulk of AI infrastructure capex. The 'next NVIDIA' narrative reflects market speculation, not engineering or supply-chain reality.
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