---
title: "Deploy Mixtral 8x7B on AWS Inferentia2 with Hugging Face Optimum"
url: https://daily.dev/posts/deploy-mixtral-8x7b-on-aws-inferentia2-with-hugging-face-optimum-jn3fyemjs
source_url: https://www.philschmid.de/inferentia2-mixtral-8x7b
type: article
source: "Philipp Schmid"
published: 2026-05-31T07:41:23.784Z
updated: 2026-05-31T08:17:05.073Z
tags: ["aws", "llm"]
reading_time: 8
upvotes: 0
comments: 0
language: en
---

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# Deploy Mixtral 8x7B on AWS Inferentia2 with Hugging Face Optimum

**[Philipp Schmid](https://daily.dev/sources/philschmid)** · 8 min read · 0 upvotes · 0 comments

## Summary

Step-by-step guide to deploying the Mixtral 8x7B Sparse Mixture of Experts model on AWS Inferentia2 using Hugging Face Optimum and Amazon SageMaker. Covers environment setup, retrieving the TGI Neuronx Deep Learning Container, configuring and deploying the endpoint on an inf2.48xlarge instance, running inference with the Messages API, building a streaming Gradio demo, and benchmarking with llmperf. Benchmark results show 288 tokens/sec throughput at 5 concurrent users with 10.67ms inter-token latency, with cost context of $12.98/hour on-demand for the inf2.48xlarge instance.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.philschmid.de/inferentia2-mixtral-8x7b>

---

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

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