
What happened
Nvidia released Nemotron 3.5 Transcribe, a free open-weight model transcribing up to 40 languages, plus version 2 of its open source Granary speech dataset.
Why it matters
It targets developers building meeting and medical transcription apps, and Nvidia says the 30 billion parameter model runs on a single chip, from Jetson AGX Thor to Blackwell datacenter chips.
WHO IT HITSDevelopers and product teams building transcription features for business meetings and medical records get a free, customizable open-weight option — though anyone needing live, real-time speech must look elsewhere, since Transcribe handles only recorded audio.
Summaries like this, every morning.
Nvidia's release lands in a crowded stretch for AI voice. Mistral shipped Voxtral 3 earlier this month, ElevenLabs launched Realtime for instant speech in voice agents, and Salesforce released Launa-Omni, its voice model — a cluster of launches that shows how much weight vendors are putting on speech interfaces.
What distinguishes Nvidia's entry is its packaging rather than a single capability. Nvidia pairs the model with the updated Granary dataset and its NeMo Speech tools, telling developers they can tune apps to recognize an industry's jargon in each language. The 30 billion parameter model is positioned to run on a single chip across Nvidia's range, from the Jetson AGX Thor robotics controller and DGX Spark chip in new laptops to Blackwell datacenter chips, and it sits alongside smaller open-weight voice models like Parakeet at 1.1 billion parameters.
The gap Nvidia leaves open is real-time use: Transcribe handles recorded audio, not livestreams, so live voice-agent work appears to remain with rivals like ElevenLabs — at least for now.
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