---
title: "Discussion on \"Running AI Workloads Across NVIDIA, AMD, and Multiple Clouds Without Refactoring\" | Hashnode"
description: "Discussion on \"Running AI Workloads Across NVIDIA, AMD, and Multiple Clouds Without Refactoring\". A technical look at hardware-agnostic AI infrastructure — running training on NVIDIA H100s and inference on AMD MI300X across multiple clouds."
url: "https://hashnode.com/posts/ai-workloads-nvidia-amd-multi-cloud-without-refactoring/69f36e7e980b88463f683a56"
---

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# [Running AI Workloads Across NVIDIA, AMD, and Multiple Clouds Without Refactoring](https://flexai.hashnode.dev/ai-workloads-nvidia-amd-multi-cloud-without-refactoring?utm_source=hashnode&utm_medium=feed)

A technical look at hardware-agnostic AI infrastructure — running training on NVIDIA H100s and inference on AMD MI300X across multiple clouds.

Apr 30 · 6 min read · flexai.hashnode.dev  
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-   [#flexai-news](https://hashnode.com/tag/flexai-news)
-   [#ai-infrastructure](https://hashnode.com/tag/ai-infrastructure)
-   [#gpu](https://hashnode.com/tag/gpu)
-   [#multi-cloud](https://hashnode.com/tag/multi-cloud)
-   [#nvidia](https://hashnode.com/tag/nvidia)
-   [#amd](https://hashnode.com/tag/amd)
-   [#inference](https://hashnode.com/tag/inference)
-   [#mlops](https://hashnode.com/tag/mlops)
-   [#kubernetes](https://hashnode.com/tag/kubernetes)

## Written by

[Adam King](https://hashnode.com/@adamatflex)

@adamatflex · Austin, TX

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

BizOps at FlexAI

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