---
title: "Run Voxtral Mini 4B Realtime on vLLM with Red Hat AI on Day 1"
url: https://daily.dev/posts/run-voxtral-mini-4b-realtime-on-vllm-with-red-hat-ai-on-day-1-wyohmx0fj
source_url: https://developers.redhat.com/articles/2026/02/06/run-voxtral-mini-4b-realtime-vllm-red-hat-ai
type: article
source: "Red Hat Developer"
published: 2026-02-06T19:35:54.264Z
updated: 2026-02-07T03:38:43.510Z
tags: ["machine-learning", "containers", "red-hat", "speech-recognition"]
reading_time: 8
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.

# Run Voxtral Mini 4B Realtime on vLLM with Red Hat AI on Day 1

**[Red Hat Developer](https://daily.dev/sources/rhdev)** · 8 min read · 0 upvotes · 0 comments

## Summary

Mistral AI released Voxtral Mini 4B Realtime, a streaming automatic speech recognition model optimized for low-latency voice workloads with sub-500ms latency across 13 languages. The model is immediately supported in vLLM through its realtime streaming API and can be deployed using Red Hat AI Inference Server. The guide provides step-by-step instructions for deploying Voxtral using containerized infrastructure with GPU acceleration, including prerequisites, container setup, and a Python client for testing streaming transcription via WebSocket endpoints.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://developers.redhat.com/articles/2026/02/06/run-voxtral-mini-4b-realtime-vllm-red-hat-ai>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#containers](https://daily.dev/tags/containers), [#red-hat](https://daily.dev/tags/red-hat), [#speech-recognition](https://daily.dev/tags/speech-recognition)

[View this post on daily.dev](https://daily.dev/posts/run-voxtral-mini-4b-realtime-on-vllm-with-red-hat-ai-on-day-1-wyohmx0fj)
