# Hugging Face — Build Low-Latency Multilingual Voice Agents: Open Weights & Full Deployment Control with NVIDIA Magpie TTS

- Company: Hugging Face (huggingface.co)
- Announced: 2026-08-10T16:25:36+00:00
- Category: open-weight-release
- Subject: Platform
- Open weights: yes
- Models affected: Magpie TTS Multilingual
- License: open weights
- Source: https://huggingface.co/blog/nvidia/magpie-tts-multilingual-voice-agents
- Record: https://forck.live/items/3745-build-low-latency-multilingual-voice-agents-open-weights-full-deployment

NVIDIA released Magpie TTS Multilingual, an open-weights 364M-parameter text-to-speech model supporting 12 languages, including three new languages (Modern Standard Arabic, Korean, Brazilian Portuguese). The model is designed for low-latency, on-premises deployment with NVIDIA NIM, achieving 32ms time to first audio on B200 GPUs. It features frame stacking and local transformer for optimized real-time speech generation.

## Evidence

Verbatim from https://huggingface.co/blog/nvidia/magpie-tts-multilingual-voice-agents:

> NVIDIA Magpie Multilingual TTS is built for that. With open weights, production-ready NVIDIA NIM, and support for 12 languages, you can deploy multilingual speech inside your own infrastructure, optimize latency for your workload, and customize the model for your domain — end to end, in your own environment.

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