---
title: "#amd-mi300x articles | Hashnode"
description: "Explore 4 articles tagged #amd-mi300x on Hashnode. Tutorials, guides, and how-tos from the community."
url: "https://hashnode.com/tag/amd-mi300x"
---

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# #amd-mi300x

4 posts · 0 followers

[Vedant Jadhav](https://hashnode.com/@vedantjadhav) · [Oct 3](https://hashnode.com/posts/amd-llm-lab/6ac15c1df8437aace82ad975)

### [What 57 LLM Benchmark Runs on an AMD Instinct MI300X Taught Me About VRAM, Throughput, and Quantization](https://vedantjadhav.hashnode.dev/amd-llm-lab?utm_source=hashnode&utm_medium=feed)

I built AMD LLM Lab to understand LLM inference performance before running the model.

7 min read · [vedantjadhav.hashnode.dev](https://vedantjadhav.hashnode.dev/amd-llm-lab?utm_source=hashnode&utm_medium=feed)

[3](https://hashnode.com/posts/amd-llm-lab/6ac15c1df8437aace82ad975)

[Eric Hartford](https://hashnode.com/@quixi) · [Jan 1](https://hashnode.com/posts/practical-ai-with-amd-instinct-mi300x/69561b0683e114652d6939c8)

### [Practical AI with AMD Instinct MI300X](https://erichartford.com/practical-ai-with-amd-instinct-mi300x?utm_source=hashnode&utm_medium=feed)

When the MI300X was launched in December 2023, there was a lot of optimism. We were desperate for an alternative to nVidia’s expensive and scarce H100s, especially one that provided 192gb of VRAM per GPU compared to the H100’s 80gb. And the MI300X wa...

4 min read · [erichartford.com](https://erichartford.com/practical-ai-with-amd-instinct-mi300x?utm_source=hashnode&utm_medium=feed)

[1](https://hashnode.com/posts/practical-ai-with-amd-instinct-mi300x/69561b0683e114652d6939c8)

[Pushpank](https://hashnode.com/@pushpank) · [Nov 12, 2025](https://hashnode.com/posts/nvidia-h200-vs-amd-mi350x-a-practical-playground-for-ai-engineers/6914e6b1faa2771618e5d439)

### [Nvidia H200 vs AMD MI350X (A Practical Playground for AI Engineers)](https://3level.hashnode.dev/nvidia-h200-vs-amd-mi350x-a-practical-playground-for-ai-engineers?utm_source=hashnode&utm_medium=feed)

The H200 vs MI350X decision isn’t about FLOPs it’s about memory bandwidth, topology, and how fast your Docker pull fails on ROCm. Interactive roofline simul

8 min read · [3level.hashnode.dev](https://3level.hashnode.dev/nvidia-h200-vs-amd-mi350x-a-practical-playground-for-ai-engineers?utm_source=hashnode&utm_medium=feed)

[Tanvi Ausare](https://hashnode.com/@tanviausare) · [Oct 20, 2024](https://hashnode.com/posts/an-introduction-to-amd-mi300x-a-game-changer-in-ai-cloud/6714877129b5dc7d1c78095c)

### [An Introduction to AMD MI300X: A Game Changer in AI Cloud](https://neevcloud.hashnode.dev/an-introduction-to-amd-mi300x-a-game-changer-in-ai-cloud?utm_source=hashnode&utm_medium=feed)

The AMD MI300X promises faster processing for AI Cloud applications. GPU clusters like h100 and h200 may struggle with compatibility issues.

5 min read · [neevcloud.hashnode.dev](https://neevcloud.hashnode.dev/an-introduction-to-amd-mi300x-a-game-changer-in-ai-cloud?utm_source=hashnode&utm_medium=feed)
