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

NVIDIA Magpie is an open-weights, multilingual text-to-speech (TTS) model for building low-latency voice agents with full deployment control. The model supports twelve languages, including new additions like Arabic and Korean, and is optimized for real-time generation to achieve low Time to First Audio (TTFA). Architectural improvements like frame stacking and a local transformer enable fast inference times without sacrificing natural speech quality. Developers can customize the model using the open weights and deploy it for production using the optimized NVIDIA NIM container on their own infrastructure. This approach provides greater control over latency, privacy, and scalability for conversational AI applications.