NVIDIA 谈材料工程与制造如何推进半导体创新
Advancing Semiconductor Innovation Across Materials Engineering and Manufacturing
随着 AI 负载增长，算力需求激增正推动半导体行业追求前所未有的性能目标，即便是小幅延期也会在快速迭代的 AI 硬件周期中造成巨大财务影响。同时，行业正从芯片级优化转向系统级工程，散热与功耗挑战随之叠加。NVIDIA 认为应对这些需求需要在材料工程与制造环节取得突破。
As AI workloads increase, explosive compute demand is pushing the semiconductor industry to meet unprecedented performance targets. Even small delays can have...
As AI workloads increase, explosive compute demand is pushing the semiconductor industry to meet unprecedented performance targets. Even small delays can have outsized financial impact in fast-moving AI hardware cycles. Simultaneously, the shift from chip-level optimization to system-level engineering is compounding thermal and power challenges. Meeting these demands requires breakthroughs…
来源：NVIDIA Developer Blog · developer.nvidia.com