By Kyt Dotson
Publication Date: 2026-10-28 15:00:00
Nvidia Corp. today released a leaderboard-winning open artificial intelligence model for multilingual audio transcription and translation, along with an open data pipeline for fine-tuning Nemotron 3.5 Transcribe.
Traditional transcription AI models follow a workflow that detects speech, transcribes it, identifies and labels different speakers, then answers questions about the transcription. Transcribe does all of this in a single model pass and is capable of digesting and answering questions about 100 hours of audio, in 40 languages and can label up to eight speakers.
It’s an open-weight, 30-billion parameter mixture-of-experts model with 4 billion active parameters. That means it can fit on reasonably small hardware, though more powerful hardware lets it transcribe faster.
For its size, Transcribe punches way above its weight and it can run anywhere from the edge to the data center depending on compression. The model runs on a single Nvidia graphics processing unit, from a Jetson AGX Thor, an edge computer robot brain, or DGX Spark, a desktop AI supercomputer, all the way to a Blackwell data-center GPU. Nvidia said a Blackwell Server Edition GPU with NVFP4 precision and one-quarter model compression processes 100 hours of audio in under three minutes.
According to the company, Transcribe hits a high accuracy benchmark for getting words right, with 30.8% error rates out of the box, which can be reduced to 20.8% with careful prompting. Fine-tuned for specialized work,…
