Nvidia releases Nemotron 3 Diarization, a 100M-parameter model tracking up to 8 speakers
Nvidia announced the open‑weight speaker diarization model Nemotron 3 Diarization on Hugging Face. The 100 million‑parameter model can identify who spoke when in audio streams, handling up to eight overlapping speakers with a single checkpoint that works for both offline recordings and real‑time streaming. The weights are released under the OpenMDW License 1.1, which permits commercial use, and…
Key points
- Nemotron 3 Diarization is a 100M‑parameter open‑weight model that tracks up to eight overlapping speakers.
- The model ranked first on Voice Arena’s Diarization‑Bench with 14.72% DER, about 24% better than the next system.
- Weights are released under the OpenMDW License 1.1, allowing commercial use, and run on Nvidia GPUs via NeMo.
In Voice Arena’s initial Diarization‑Bench, Nemotron 3 Diarization ranked first among twelve systems, achieving a 14.72% diarization error rate (DER) versus 19.3% for the runner‑up, roughly a 24% relative improvement. Nvidia notes these results may change once Voice Arena completes its Version 1 evaluation. The model is not yet available through Hugging Face Inference Providers, but production deployments can use Baseten, DigitalOcean, or Argmax Pro SDK 3.
Model page: Nemotron 3 Diarization →
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NVIDIA Releases Nemotron 3 Diarization: A 100M-Parameter Open-Weight Model That Tracks 8 Speakers in Real Time
MarkTechPost · 23 September 2026
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