LLM Compression And Optimization: Cheaper Inference With Fewer Hardware Resources
Red Hat, June 30,2025
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Fortunately, the latest open large language models (LLMs) are now as robust as closed models, but the key to maximizing performance and efficiency is through model optimization and compression.
We know that open models enable customization without vendor lock-in or prohibitive costs, and this article will guide you through the process of getting started with optimizing open models. Leveraging techniques such as quantization, sparsity and more, we'll learn how to significantly accelerate model responses and reduce infrastructure costs while maintaining model accuracy.