---
title: "Deploy Mixtral 8x7B on Amazon SageMaker"
url: https://daily.dev/posts/deploy-mixtral-8x7b-on-amazon-sagemaker-s0kfxry45
source_url: https://www.philschmid.de/sagemaker-deploy-mixtral
type: article
source: "Philipp Schmid"
published: 2026-05-31T07:41:09.734Z
updated: 2026-05-31T08:28:28.750Z
tags: ["aws", "llm", "mixture-of-experts"]
reading_time: 5
upvotes: 0
comments: 0
language: en
---

> ## Documentation Index
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# Deploy Mixtral 8x7B on Amazon SageMaker

**[Philipp Schmid](https://daily.dev/sources/philschmid)** · 5 min read · 0 upvotes · 0 comments

## Summary

Step-by-step guide to deploying Mixtral 8x7B (a 45B parameter Sparse Mixture-of-Experts model) on Amazon SageMaker using the Hugging Face LLM Deep Learning Container powered by Text Generation Inference (TGI). Covers environment setup, retrieving the DLC container URI, hardware requirements (ml.g5.48xlarge or p4d.24xlarge with 100GB+ GPU memory), endpoint deployment, running inference with streaming support via a Gradio demo, and cleanup.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.philschmid.de/sagemaker-deploy-mixtral>

---

Tags: [#aws](https://daily.dev/tags/aws), [#llm](https://daily.dev/tags/llm), [#mixture-of-experts](https://daily.dev/tags/mixture-of-experts)

[View this post on daily.dev](https://daily.dev/posts/deploy-mixtral-8x7b-on-amazon-sagemaker-s0kfxry45)