---
title: "Deploy Mistral AI’s Voxtral on Amazon SageMaker AI"
url: https://daily.dev/posts/deploy-mistral-ai-s-voxtral-on-amazon-sagemaker-ai-0coeqj5xe
source_url: https://aws.amazon.com/blogs/machine-learning/deploy-mistral-ais-voxtral-on-amazon-sagemaker-ai/
type: article
source: "AWS"
published: 2025-12-22T18:40:54.920Z
updated: 2025-12-22T18:41:17.121Z
tags: ["machine-learning", "aws", "docker"]
reading_time: 9
upvotes: 0
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Deploy Mistral AI’s Voxtral on Amazon SageMaker AI

**[AWS](https://daily.dev/sources/aws)** · 9 min read · 0 upvotes · 0 comments

## Summary

Voxtral models from Mistral AI combine text and audio processing in a unified framework, available in 3B and 24B parameter variants. This guide demonstrates deploying Voxtral on Amazon SageMaker using vLLM and the Bring Your Own Container approach. The solution includes custom Docker container configuration with audio processing libraries, model deployment through SageMaker notebooks, and support for multiple use cases including transcription, multimodal understanding, and function calling from voice input. The architecture uses Amazon ECR for container storage, S3 for configuration files, and enables switching between model variants through simple configuration updates without container rebuilds.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://aws.amazon.com/blogs/machine-learning/deploy-mistral-ais-voxtral-on-amazon-sagemaker-ai/>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#aws](https://daily.dev/tags/aws), [#docker](https://daily.dev/tags/docker)

[View this post on daily.dev](https://daily.dev/posts/deploy-mistral-ai-s-voxtral-on-amazon-sagemaker-ai-0coeqj5xe)