https://www.infoq.com InfoQ Frameworks Articles feed https://www.infoq.com/articles/llms-evolution-ai-infrastructure/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Frameworks-articles <img src="https://res.infoq.com/articles/llms-evolution-ai-infrastructure/en/headerimage/llms-evolution-ai-infrastructure-header-1758096401785.jpg"/><p>Large Language Model (LLM) inference faces a fundamental challenge: the same hardware that excels at processing input prompts struggles with generating responses, and vice versa. Disaggregated serving architectures solve this by separating these distinct computational phases, delivering throughput improvements and better resource utilization while reducing costs.</p> <i>By Anat Heilper</i> Artificial Intelligence Frameworks Infrastructure Large language models Model AI, ML & Data Engineering article Mon, 29 Sep 2025 11:00:00 GMT https://www.infoq.com/articles/llms-evolution-ai-infrastructure/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Frameworks-articles Anat Heilper 2025-09-29T11:00:00Z /articles/llms-evolution-ai-infrastructure/en