Nvidia Open-Sources Nemotron 3.5 ASR: 40-Language Speech Model for Local Deployment

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Nvidia has released Nemotron 3.5 ASR, a 600-million-parameter speech-to-text model supporting 40 language locales, with open weights available on Hugging Face. The model runs entirely locally, eliminating reliance on external APIs and associated per-call costs, making it suitable for privacy-sensitive deployments. Built on a Cache-Aware FastConformer-RNNT architecture, it is optimized for low-latency streaming, with practical applications in voice agents, live captioning, and call-center analysis. It includes built-in punctuation and capitalization restoration, removing the need for additional post-processing steps. Nvidia has also published a five-step fine-tuning guide covering data preparation, training, evaluation, scaling, and deployment, allowing developers to adapt the model for specific languages, accents, or domains such as healthcare, legal, or finance.

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