---
title: "Discussion on \"LLM Inference GPU Sizing: How to Choose the Right GPU for Your Model and Traffic\" | Hashnode"
description: "Discussion on \"LLM Inference GPU Sizing: How to Choose the Right GPU for Your Model and Traffic\". How to size GPUs for LLM inference in production. Walk through real latency and cost tradeoffs for LLaMA 3.1 8B across L40, H100, and H200 — with toke"
url: "https://hashnode.com/posts/llm-inference-gpu-sizing-right-gpu-model-traffic/69de486ad3d873268bfe11f8"
---

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# [LLM Inference GPU Sizing: How to Choose the Right GPU for Your Model and Traffic](https://flexai.hashnode.dev/llm-inference-gpu-sizing-right-gpu-model-traffic?utm_source=hashnode&utm_medium=feed)

How to size GPUs for LLM inference in production. Walk through real latency and cost tradeoffs for LLaMA 3.1 8B across L40, H100, and H200 — with toke

Apr 14 · 5 min read · flexai.hashnode.dev  
Updated Apr 23  
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-   [#flexai-news](https://hashnode.com/tag/flexai-news)
-   [#llm](https://hashnode.com/tag/llm)
-   [#gpu](https://hashnode.com/tag/gpu)
-   [#inference](https://hashnode.com/tag/inference)
-   [#ai-infrastructure](https://hashnode.com/tag/ai-infrastructure)
-   [#latency](https://hashnode.com/tag/latency)
-   [#h100](https://hashnode.com/tag/h100)
-   [#h200](https://hashnode.com/tag/h200)
-   [#llama](https://hashnode.com/tag/llama)

## Written by

[Adam King](https://hashnode.com/@adamatflex)

@adamatflex · Austin, TX

  
[View profile](https://hashnode.com/@adamatflex)

BizOps at FlexAI

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