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Nvidia shifts AI chip battleground from specs to end-to-end efficiency

Nvidia said it will shift competition in AI semiconductors from chip specifications to end-to-end efficiency across pre-training, post-training, inference and agents. It also disclosed measured results showing Blackwell-based GPUs deliver 55 times faster mixture-of-experts inference than the prior Hopper generation. Nvidia highlighted efficiency gains from a new numeric format and software advances, and introduced curriculum-based post-training results for its Nemotron 3 Nano model. It also said Korean partners are participating and unveiled a Korean-focused synthetic dataset.