US EditionOptimizing LLM Inference with Hardware-Software Co-Design
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Optimizing LLM Inference with Hardware-Software Co-Design
The rise of large language models (LLMs) has transformed natural language processing across industries—from enterprise automation and conversational AI to search engines and code generation. However, the massive computational cost of deploying these models, especially in real-time scenarios, has made LLM inference a critical performance bottleneck. To address this, the frontier of AI infrastructure is now moving toward hardware-software co-desig…
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