https://www.infoq.com InfoQ Performance Evaluation feed https://www.infoq.com/news/2026/04/kerrison-clyburn-llm-performance/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Performance+Evaluation <img src="https://res.infoq.com/news/2026/04/kerrison-clyburn-llm-performance/en/headerimage/kerrison-clyburn-llm-performance-header--1777288853060.jpg"/><p>Effectively measuring the performance of applications that are leveraging Large Language Models (LLM) is critical to the adoption of AI technologies in organizations. Legare Kerrison and Cedric Clyburn from RedHat team recently spoke at Arc of AI 2026 Conference about practical methods to evaluate and optimize LLM inference.</p> <i>By Srini Penchikala</i> Machine Learning Cost Optimization Performance Evaluation Hugging Face Performance Benchmark Large language models GPU AI, ML & Data Engineering news Tue, 28 Apr 2026 09:05:00 GMT https://www.infoq.com/news/2026/04/kerrison-clyburn-llm-performance/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Performance+Evaluation Srini Penchikala 2026-04-28T09:05:00Z /news/2026/04/kerrison-clyburn-llm-performance/en