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Chip performance on large-model inference is architecture-specific, and Nvidia is now betting that DeepSeek and Qwen belong in its optimization stack.
The company is tuning its hardware for both Chinese-origin open AI models while warning that potential U.S. government restrictions on models from China could hurt its business.
What hardware optimization for a specific model actually means Running a large language model at scale is not a generic compute problem.
Each architecture carries its own memory access patterns and attention kernel requirements.
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