LIFE OF AN INFERENCE REQUEST (VLLM V1): HOW LLMS ARE SERVED EFFICIENTLY AT SCALE

Summary from the TLDR AI newsletter

vLLM is an open-source inference engine that serves large language models. This blog post describes how an inference request travels through vLLM's OpenAI-compatible API server and core engine. It focuses on the new V1 architecture of vLLM and how it achieves state-of-the-art text generation performance. Readers should be familiar with the transformer architecture and large language models - a link to a video by OpenAI co-founder Andrej Karpathy that explains these is available.