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Nemotron 3.5 Transcribe on one 32 GB Blackwell card: the prompt is your API, so test it
- Most speech-to-text stacks bolt features on after the model: diarization (working out who said what), then a cleanup pass for the "um"s.
- NVIDIA's Nemotron 3.5 Transcribe moves those choices into the request.
- You send the audio plus one sentence, and the sentence decides whether you get every filler, a clean read, or speaker turns with a time on every word.
- The bugs move with it.
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