Model guide
Nemotron 3.5 ASR, explained without the research-paper fog.
Nemotron 3.5 ASR is NVIDIA’s compact streaming speech-recognition model for multilingual transcription. It turns live or recorded audio into punctuated text.
Try the transcriber →What makes it different
The model is cache-aware: when audio arrives in chunks, it reuses earlier context instead of processing the same overlap again. That reduces latency for live transcription.
- 0.6B parameters
- 40 language locales
- Automatic language detection
- Native punctuation and capitalization
Best uses
It fits meetings, interviews, voice notes, live captions and voice-agent pipelines where speed matters. Use a dedicated diarization model when you need reliable speaker labels.
Speed versus accuracy
Nemotron supports 1.12s, 0.56s, 0.32s and 0.08s chunk settings. Larger chunks usually favor accuracy; smaller chunks reduce live latency.