---
title: "Discussion on \"How to Scale LLM Inference for AI Agents Using vLLM\" | Hashnode"
description: "Discussion on \"How to Scale LLM Inference for AI Agents Using vLLM\". In this tutorial, I’ll show you how to scale LLM inference for AI agents using vLLM. I'll help you build an intuition for how LLM inference works, explore why agent workloads create GPU scheduling and"
url: "https://hashnode.com/posts/how-to-scale-llm-inference-for-ai-agents-using-vllm/6a8373e0eb96152ac540effb"
---

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# [How to Scale LLM Inference for AI Agents Using vLLM](https://freecodecamp.org/news/how-to-scale-llm-inference-for-ai-agents-using-vllm?utm_source=hashnode&utm_medium=feed)

In this tutorial, I’ll show you how to scale LLM inference for AI agents using vLLM. I'll help you build an intuition for how LLM inference works, explore why agent workloads create GPU scheduling and

Aug 17 · 15 min read · freecodecamp.org  
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-   [#ai](https://hashnode.com/tag/ai)
-   [#agentic-ai](https://hashnode.com/tag/agentic-ai)
-   [#vllm](https://hashnode.com/tag/vllm)
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-   [#gpu](https://hashnode.com/tag/gpu)
-   [#vllm-server](https://hashnode.com/tag/vllm-server)
-   [#prefill-decode](https://hashnode.com/tag/prefill-decode)

## Written by

[Darsh Shah](https://hashnode.com/@darshs)

@darshs · San Francisco

  
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https://darshshah.org/

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