LLM vs vLLM: Efficiency and Scaling Explained

Curious Enough · Beginner ·🧠 Large Language Models ·2mo ago
While a **Large Language Model (LLM)** functions as the core intelligence capable of predicting text and answering prompts, it often struggles with speed and efficiency when faced with high demand. The video explains that **vLLM** acts as a high-performance serving engine designed to solve these scaling issues through an innovative memory management system called **Paged Attention**. By treating memory like a shared library rather than reserved rooms, **vLLM** allows the same hardware to support significantly more users at a lower cost.
Watch on YouTube ↗ (saves to browser)
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Next Up
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)