Nvidia Releases Open Nemotron 3.5 Transcription Model for 40 Languages
Nvidia released the open-weight Nemotron 3.5 transcription model, supporting 40 languages and translation to/from English for 31. With 30B parameters, it runs on a single chip and handles long recordings with speaker diarization, aiming to lower barriers for developers building meeting and medical transcription apps.
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Nvidia on Wednesday released Nemotron 3.5 Transcribe, a free, open-weight model that transcribes audio in up to 40 languages. It also released version 2 of Granary, its open source speech dataset.
Nvidia boasts that Nemotron 3.5 can translate 31 languages to and from English, handle recordings up to an hour long, and tell up to eight speakers apart. It claims to beat rivals on benchmarks, including Hugging Face’s Open ASR Leaderboard.
These tools target developers building apps for business meetings and medical transcription, two of AI’s most established footholds in the workplace. Nvidia says developers can use the model, the updated Granary dataset, and tools like its NeMo Speech model to customize apps to recognize an industry’s jargon in each language. One drawback: Transcribe works with recorded audio, not livestreams.
Still, the company promises Transcribe, at 30 billion parameters, can run on a single chip, from the Jetson AGX Thor robotics controller and DGX Spark chip powering new laptops, to Blackwell datacenter chips. It joins Nvidia’s open-weight voice models, including the super small yet powerful Parakeet (1.1 billion parameters).
Nvidia’s latest voice entry comes during a busy period of AI voice releases: Mistral shipped Voxtral 3earlier this month; ElevenLabs launched Realtime for instant speech in voice agents; and Salesforce releasedLauna-Omni, its voice model.