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

DevFeed: [Build Low-Latency Multilingual Voice Agents: Open Weights & Full Deployment Control with NVIDIA Magpie TTS](<https://devfeed.tech/articles/build-low-latency-multilingual-voice-agents-open-weights-full-deployment-control-with-nvidia-magpie-tts-7386.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/nvidia/magpie-tts-multilingual-voice-agents>)

Author: Maryam Motamedi; Mikyas Desta; Jason Li; Jason Roche

Published: 2026-08-10T16:25:36Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Low Latency](<https://devfeed.tech/topics/low-latency.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [NVIDIA NIM](<https://devfeed.tech/topics/nvidia-nim.md>), [Open Source Models & Datasets](<https://devfeed.tech/topics/open-source-models-datasets.md>), [asr](<https://devfeed.tech/topics/asr.md>), [Conversational AI](<https://devfeed.tech/topics/conversational-ai.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Automation](<https://devfeed.tech/topics/automation.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [api](<https://devfeed.tech/tags/api.md>), [audio](<https://devfeed.tech/tags/audio.md>), [automation](<https://devfeed.tech/tags/automation.md>), [conversational-ai](<https://devfeed.tech/tags/conversational-ai.md>), [data](<https://devfeed.tech/tags/data.md>), [developers](<https://devfeed.tech/tags/developers.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [latency](<https://devfeed.tech/tags/latency.md>), [llm](<https://devfeed.tech/tags/llm.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [model](<https://devfeed.tech/tags/model.md>), [models](<https://devfeed.tech/tags/models.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-nim](<https://devfeed.tech/tags/nvidia-nim.md>), [open](<https://devfeed.tech/tags/open.md>), [speech](<https://devfeed.tech/tags/speech.md>), [text-to-speech](<https://devfeed.tech/tags/text-to-speech.md>), [voice](<https://devfeed.tech/tags/voice.md>)

## AI overview

This developer article presents NVIDIA Magpie Multilingual TTS as an open-weights, 364M-parameter text-to-speech model for building low-latency multilingual voice applications. It explains how a self-managed cascaded ASR, TTS, and LLM architecture can provide deployment control, tuning, privacy, and predictable performance across 12 languages.

## Source excerpt

Build Low-Latency Multilingual Voice Agents: Open Weights & Full Deployment Control with NVIDIA Magpie TTS Every voice interaction has a latency budget. By the time a user hears your application respond, you've already spent precious milliseconds capturing audio, transcribing speech, running an LLM, retrieving context, and generating a response. Text-to-speech (TTS) is the final step -- and the one users notice most. If speech generation is slow, the whole experience feels slow.