---
title: "Discussion on \"Run Local LLMs with Cortex: Empowering AI Accessibility\" | Hashnode"
description: "Discussion on \"Run Local LLMs with Cortex: Empowering AI Accessibility\". The field of artificial intelligence is evolving rapidly, and with it comes the demand for more efficient and accessible ways to deploy Large Language Models (LLMs). Cortex, a cutting-edge local AI platform, is at the forefront of this movement, enab..."
url: "https://hashnode.com/posts/run-local-llms-with-cortex-empowering-ai-accessibility/67c7be5e59b58b7bdd66cecd"
---

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# [Run Local LLMs with Cortex: Empowering AI Accessibility](https://ahmedrazadev.hashnode.dev/run-local-llms-with-cortex-empowering-ai-accessibility?utm_source=hashnode&utm_medium=feed)

The field of artificial intelligence is evolving rapidly, and with it comes the demand for more efficient and accessible ways to deploy Large Language Models (LLMs). Cortex, a cutting-edge local AI platform, is at the forefront of this movement, enab...

Mar 5, 2025 · 3 min read · ahmedrazadev.hashnode.dev  
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## Written by

[Ahmed Raza](https://hashnode.com/@AhmedRazaDev)

@AhmedRazaDev · Bologna, Italy

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

Ahmed Raza is a versatile full-stack developer with extensive experience in building APIs through both REST and GraphQL. Skilled in Golang, he uses gqlgen to create optimized GraphQL APIs, alongside Redis for effective caching and data management. Ahmed is proficient in a wide range of technologies, including YAML, SQL, and MongoDB for data handling, as well as JavaScript, HTML, and CSS for front-end development. His technical toolkit also includes Node.js, React, Java, C, and C++, enabling him to develop comprehensive, scalable applications. Ahmed's well-rounded expertise allows him to craft high-performance solutions that address diverse and complex application needs.

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