Industry Analysis
NVIDIA’s AI dominance is triggering a deep-stack technological cascade: its GPUs not only power large model training but also compel upgrades across EDA tools, advanced packaging, and liquid cooling infrastructure, reinforcing a CUDA-locked ecosystem. However, U.S. export controls to China have materially increased compliance costs and accelerated domestic AI chip substitution efforts in Taiwan, China and mainland China. With AMD’s MI300X ramping and hyperscalers deploying custom ASICs like Google’s TPU v5e, NVIDIA must widen its compute lead via Blackwell Ultra. Microsoft leverages Azure’s AI scale to offset regulatory headwinds, though surging capex pressures free cash flow. Over the next 18 months, AI chip demand will pivot from raw performance to performance-per-watt, exposing high-TDP architectures to power allocation limits and carbon pricing—reshaping data center siting and favoring vertically integrated cloud providers.
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