Industry Analysis
NVIDIA’s apparent undervaluation masks systemic advantages in its tech stack. The Blackwell architecture not only cements GPU dominance in AI training but, combined with Grace CPUs via NVLink, redefines data center compute paradigms—forcing rivals like AMD to shift from pure hardware competition to software ecosystem alignment. Geopolitical friction is inflating supply chain costs: U.S. export controls on advanced lithography and Taiwan, China’s concentration of leading-edge foundry capacity make EUV dependency a latent liability. While Oracle and Amazon pursue in-house AI chips to reduce reliance, CUDA’s entrenched ecosystem renders near-term displacement unlikely. Over the next 12–24 months, surging inference workloads will amplify Blackwell’s power-efficiency edge, and achieving $20B in CPU revenue would validate NVIDIA’s heterogeneous computing strategy, further eroding x86 vendors’ share in cloud infrastructure.
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