---
title: "Discussion on \"How much VRAM do you actually need for local LLMs in 2026? (Qwen3.8 27B, 24GB vs 32GB cards)\" | Hashnode"
description: "Discussion on \"How much VRAM do you actually need for local LLMs in 2026? (Qwen3.8 27B, 24GB vs 32GB cards)\". Every time a new open model drops, the same question comes back: will it fit on my GPU? Here is how to think about it, with concrete numbers.\n1. Memory = weights + KV cache + a little buffer\nThe GGUF"
url: "https://hashnode.com/posts/how-much-vram-do-you-actually-need-for-local-llms-in-2026-qwen3-8-27b-24gb-vs-32gb-cards/6aeb28ca23b5d2452662d39c"
---

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# [How much VRAM do you actually need for local LLMs in 2026? (Qwen3.8 27B, 24GB vs 32GB cards)](https://sheephess9527.hashnode.dev/how-much-vram-do-you-actually-need-for-local-llms-in-2026-qwen3-8-27b-24gb-vs-32gb-cards?utm_source=hashnode&utm_medium=feed)

Every time a new open model drops, the same question comes back: will it fit on my GPU? Here is how to think about it, with concrete numbers. 1. Memory = weights + KV cache + a little buffer The GGUF

Nov 4 · 3 min read · sheephess9527.hashnode.dev  
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-   [#gpu](https://hashnode.com/tag/gpu)
-   [#tutorial](https://hashnode.com/tag/tutorial)
-   [#llm](https://hashnode.com/tag/llm)
-   [#ai](https://hashnode.com/tag/ai)

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