Improving LLM Inference Latency on CPUs with Model Quantization

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Improving LLM Inference Speeds on CPUs with Model Quantization

Discover how to significantly improve inference latency on CPUs using quantization techniques for mixed, int8, and int4 precisions

One of the most significant challenges the AI space faces is the need for computing resources to host large-scale production-grade LLM-based applications. At scale, LLM applications require redundancy, scalability, and reliability, which have historically been only possible on general computing platforms like CPUs. Still, the …

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