# Nvidia releases Nemotron 3.5 Transcribe, open-weight speech model

> Nvidia released Nemotron 3.5 Transcribe, a 30-billion-parameter open-weight speech model, on Hugging Face.

*The 30-billion-parameter model transcribes 40 languages and ships alongside version 2 of the Granary speech dataset.*

By Bez · FeaturedDaily
Canonical: https://featureddaily.com/news/nvidia-releases-nemotron-3-5-transcribe-open-weight-speech-model

**What happened:** Nvidia has released Nemotron 3.5 Transcribe, a 30-billion-parameter open-weight speech model. It is available on Hugging Face. [TechCrunch reported the release](https://techcrunch.com/2026/10/28/voice-ai-in-vogue-nvidia-releases-new-open-transcription-model/) on 28 October.

**The details:** The model transcribes audio in up to 40 languages. It translates 31 languages to and from English. It handles recordings up to one hour long and distinguishes up to eight speakers. It works on recorded audio only, not livestreams.

**The hardware:** The model can run on a single chip. Supported hardware ranges from Jetson AGX Thor and DGX Spark up to Blackwell datacenter chips.

**The rivals:** Nvidia claims the model beats rivals on benchmarks, including Hugging Face's Open ASR Leaderboard. The article gives no specific scores.

**The context:** Nvidia also released version 2 of Granary, its open-source speech dataset. The company's earlier Parakeet model is a multilingual open-weight voice model with 1.1 billion parameters.

**The catch:** The article calls the model "free, open-weight" but names no specific licence.

**What's next:** No further release plans were reported.

## Key takeaways

- 30-billion-parameter open-weight speech model on Hugging Face
- Transcribes up to 40 languages, translates 31 to and from English
- Handles hour-long recordings and separates up to eight speakers

## Sources

- [Voice AI in vogue: Nvidia releases new open transcription model](https://techcrunch.com/2026/10/28/voice-ai-in-vogue-nvidia-releases-new-open-transcription-model/) — TechCrunch, 2026-10-28