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---
title: My 7-year-old GPU runs local AI perfectly, and I don&#x27;t...
description: Mixture of Experts (MoE) models and quantization have made it possible to run capable AI models locally on older GPUs with just 8GB of VRAM. Using an RTX 2070...
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og:description: Mixture of Experts (MoE) models and quantization have made it possible to run capable AI models locally on older GPUs with just 8GB of VRAM. Using an RTX 2070...
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# My 7-year-old GPU runs local AI perfectly, and I don't need my cloud subscriptions anymore

**[XDA Developers](https://daily.dev/sources/xda-developers)** · 4 min read · 2 upvotes · 0 comments

## Summary

Mixture of Experts (MoE) models and quantization have made it possible to run capable AI models locally on older GPUs with just 8GB of VRAM. Using an RTX 2070 Super paired with Ollama, models like Qwen3-Coder 8B and Gemma 4 E4B deliver results good enough to replace cloud AI subscriptions for everyday tasks like coding assistance and document summarization. Ollama simplifies setup to a single command, while LM Studio offers a GUI alternative. Limitations to consider include output tokens per second, context window size, and tool calling support.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.xda-developers.com/my-7-year-old-gpu-runs-local-ai-perfectly-and-i-dont-need-my-cloud-subscriptions-anymore>

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---

Tags: [#data-science](https://daily.dev/tags/data-science), [#llm](https://daily.dev/tags/llm), [#ollama](https://daily.dev/tags/ollama), [#local-ai](https://daily.dev/tags/local-ai), [#mixture-of-experts](https://daily.dev/tags/mixture-of-experts)

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