Version 0.14.0 of vLLM is now available, an open-source framework rapidly evolving and designed for inference and serving large language models (LLMs). ## Optimizing LLM Inference vLLM focuses on optimizing LLM inference, with the goal of making the execution of these complex models more efficient. Inference is the process of using a trained model to generate predictions or responses based on new inputs. Large language models (LLMs) have become increasingly important in various sectors, from content generation to customer support. vLLM aims to provide the tools needed to implement and manage these models effectively. This new version (0.14.0) includes several improvements and bug fixes compared to previous versions. Full details are available in the project's official changelog.