<!-- mobian-agent-page publisher="dailydev" canonical="https://daily.dev/posts/i-ran-a-local-llm-on-integrated-graphics-instead-of-buying-a-gpu-and-the-results-surprised-me-me3jdvjxy" -->

---
title: I ran a local LLM on integrated graphics instead of...
description: A hands-on test of running a local LLM (Gemma 3 4B via Ollama) on a laptop with integrated Radeon graphics instead of a dedicated GPU. The results were better...
canonical: https://daily.dev/posts/i-ran-a-local-llm-on-integrated-graphics-instead-of-buying-a-gpu-and-the-results-surprised-me-me3jdvjxy
twitter:card: summary_large_image
twitter:site: @dailydotdev
og:type: website
og:site_name: daily.dev
og:title: I ran a local LLM on integrated graphics instead of buying a GPU, and the results surprised me | daily.dev
og:description: A hands-on test of running a local LLM (Gemma 3 4B via Ollama) on a laptop with integrated Radeon graphics instead of a dedicated GPU. The results were better...
og:url: https://daily.dev/posts/i-ran-a-local-llm-on-integrated-graphics-instead-of-buying-a-gpu-and-the-results-surprised-me-me3jdvjxy
og:image: https://api.daily.dev/og/posts/me3jdVjxY.png
og:image:alt: I ran a local LLM on integrated graphics instead of buying a GPU, and the results surprised me
og:image:width: 1200
og:image:height: 630
og:locale: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# I ran a local LLM on integrated graphics instead of buying a GPU, and the results surprised me

**[XDA Developers](https://daily.dev/sources/xda-developers)** · 4 min read · 0 upvotes · 0 comments

## Summary

A hands-on test of running a local LLM (Gemma 3 4B via Ollama) on a laptop with integrated Radeon graphics instead of a dedicated GPU. The results were better than expected for everyday tasks like writing and summarization. The key takeaway is that model selection matters more than GPU presence — a lightweight model matched to available RAM can deliver a usable experience without dedicated graphics hardware, making a GPU upgrade unnecessary for many common AI use cases.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.xda-developers.com/running-local-llm-on-integrated-graphics>

## Similar posts on daily.dev

- [I run same local LLM on an RTX 5070 and integrated graphics, and the results were beyond my expectations](https://daily.dev/posts/i-run-same-local-llm-on-an-rtx-5070-and-integrated-graphics-and-the-results-were-beyond-my-expectat-zbfkbuxw5) · XDA Developers · 0 upvotes · 0 comments
- [I ran local AI models on a six-year-old laptop with no GPU, and they actually worked](https://daily.dev/posts/i-ran-local-ai-models-on-a-six-year-old-laptop-with-no-gpu-and-they-actually-worked-v9yuny0hp) · XDA Developers · 2 upvotes · 0 comments
- [My RTX 5070 sits idle while integrated graphics handle my everyday AI work](https://daily.dev/posts/my-rtx-5070-sits-idle-while-integrated-graphics-handle-my-everyday-ai-work-utlnpezrm) · XDA Developers · 0 upvotes · 0 comments
- [Local LLMs Are Getting Easier: The Complete Guide \(2026\)](https://daily.dev/posts/local-llms-are-getting-easier-the-complete-guide-2026--gaggzz9j2) · SitePoint · 0 upvotes · 0 comments

---

Tags: [#self-hosting](https://daily.dev/tags/self-hosting), [#local-ai](https://daily.dev/tags/local-ai), [#ollama](https://daily.dev/tags/ollama), [#gemma](https://daily.dev/tags/gemma)

[View this post on daily.dev](https://daily.dev/posts/i-ran-a-local-llm-on-integrated-graphics-instead-of-buying-a-gpu-and-the-results-surprised-me-me3jdvjxy)

```json
{"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]}
{"@context":"https://schema.org","@type":"TechArticle","headline":"I ran a local LLM on integrated graphics instead of buying a GPU, and the results surprised me","url":"https://daily.dev/posts/i-ran-a-local-llm-on-integrated-graphics-instead-of-buying-a-gpu-and-the-results-surprised-me-me3jdvjxy","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/i-ran-a-local-llm-on-integrated-graphics-instead-of-buying-a-gpu-and-the-results-surprised-me-me3jdvjxy"},"datePublished":"2026-07-28T19:30:20.093Z","dateModified":"2026-07-28T20:00:39.514Z","description":"A hands-on test of running a local LLM (Gemma 3 4B via Ollama) on a laptop with integrated Radeon graphics instead of a dedicated GPU. The results were better...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/2de838b779b4631f372605ed9e373d9f?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/2de838b779b4631f372605ed9e373d9f?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"XDA Developers","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"XDA Developers","logo":"https://media.daily.dev/image/upload/s--kCg6yyAP--/f_auto,q_auto/v1774964407/logos/xda-developers?_a=BAMAMiWQ0","url":"https://daily.dev/sources/xda-developers"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/i-ran-a-local-llm-on-integrated-graphics-instead-of-buying-a-gpu-and-the-results-surprised-me-me3jdvjxy","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"self-hosting,local-ai,ollama,gemma","timeRequired":"PT4M"}
{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"XDA Developers","item":"https://daily.dev/sources/xda-developers"},{"@type":"ListItem","position":3,"name":"I ran a local LLM on integrated graphics instead of buying a GPU, and the results surprised me"}]}
```

