nemotron-3.5-asr-streaming

About

What nemotron-3.5-asr-streaming is

Nemotron 3.5 ASR h1, h2, h3, h4, h5, h6 { color: #76b900; / NVIDIA green / font-weight: 700; } hr { border: none; border-top: 1px solid #e5e7eb; margin: 2rem 0; } / Improve list spacing / ul, ol { margin-top: 0.5rem; margin-bottom: 0.5rem; } / Badge alignment consistency / img { display: inline; vertical-align: middle; }     [!Note] This model is the multilingual extension of nvidia/nemotron-speech-streaming-en-0.6b, adding language-ID prompt conditioning to support transcription across 40 language-locales from a single model. Nemotron 3.5 ASR is a multilingual, streaming Automatic Speech Recognition (ASR) model engineered to deliver high-quality multilingual transcription across both low-latency streaming and high-throughput batch workloads. Developed by NVIDIA, this 600M parameter model transcribes speech into text with native support for punctuation and capitalization, and offers runtime flexibility with configurable chunk sizes, including 80ms, 160ms, 320ms, 560ms, and 1120ms. By leveraging a state-of-the-art Cache-Aware FastConformer-RNNT architecture, the model eliminates redundant overlapping computations common in traditional "buffered" streaming. This allows it to process only new audio chunks while reusing cached encoder context, significantly improving computational efficiency and minimizing end-to-end delay without sacrificing accuracy. It was trained on a massive ASR dataset and is engineered to perform across diverse and challenging acoustic conditions. This model is ready for commercial use. Release Date - Hugging Face [06/04/2026] via https://huggingface.co/nvidia/nemotron-3.5-asr-streaming-0.6b Why Choose Nemotron 3.5 ASR? - 🌍 Single Multilingual Model: Transcribes 40 language-locales from one model through language-ID prompt conditioning, with optional automatic language detection. - ⚡ Native Streaming Architecture: Cache-aware design enables efficient processing of continuous audio streams, designed and optimized for low-latency voice agent applications. - 💰 Improved Operational Efficiency: Delivers superior throughput compared to traditional buffered streaming approaches. This allows for a higher number of parallel streams within th

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

How it works

How audio & music work

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

Benchmarks

Reported results

As published on the model card — the maker's own numbers, not measured by AxForge.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys nvidia-nemotron-3-5-asr-streaming for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (nvidia-nemotron-3-5-asr-streaming below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/audio/transcriptions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -F model="nvidia-nemotron-3-5-asr-streaming" -F file=@audio.mp3

Details

Languages, data & research

Papers

Licence

Commercial licence needed

Sources

Weights & code

Explore

More audio & music