NVIDIA
Nemotron 3 ASR
Container
NVIDIA
Nemotron 3 ASR

Nemotron ASR Streaming

Sign in to access all content for this ContainerSigning in will also allow download accessSign In

Nemotron ASR Streaming Overview

Description:

Nemotron-ASR is a major step forward in the evolution of conversational AI. Its exceptional accuracy, coupled with the flexibility and ease of use offered by NeMo, empowers developers to create more natural and intuitive voice-powered applications. The possibilities are endless, from enhancing the accuracy of virtual assistants to enabling seamless real-time communication.
This container ships two model variants:

  • Nemotron 3 ASR — optimized for high-quality English transcription.
  • Nemotron 3.5 ASR — multilingual model supporting 40 languages with automatic language detection.

The container components are ready for commercial/non-commercial use.

Deployment Geography: Global

Release Date: Mar-12, 2026

Build.Nvidia.com 03/12/2026 via https://build.nvidia.com/nvidia/nemotron-asr-streaming
NGC 03/12/2026 via https://catalog.ngc.nvidia.com/orgs/nim/teams/nvidia/containers/nemotron-asr-streaming

Program Classes:

The Nemotron ASR Streaming Container includes the following models:

Model Name & LinkUse CaseNIM_TAGS_SELECTOR value
rmir-en-us-bs128-26.07.6en-US Streaming ASRtype=en-US,batch_size=128
rmir-en-us-bs32-26.07.6en-US Streaming ASRtype=en-US,batch_size=32
rmir-multi-bs128-26.07.6Multilingual Streaming ASRtype=multi,batch_size=128
rmir-multi-bs32-26.07.6Multilingual Streaming ASRtype=multi,batch_size=32

Deployment Details:

For details on how to deploy the model, please refer to the deployment tutorial.

Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.

Reference(s):

https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/asr/models.html#fast-conformer

Container Version(s):

1.0.0, 1.2.0 1.3.0

Security Common Vulnerabilities and Exposures (CVEs)

Please review the Security Scanning tab on NGC to view the latest security scan results. For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.

Ethical Considerations:

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal developer team to ensure these software components meet requirements for the relevant industry and use case and address unforeseen product misuse.

Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.

Get Help

Getting started with the NIM

Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NIM Container page for release documentation, deployment guides and more https://docs.nvidia.com/nim/speech/latest/index.html.

Enterprise Support

Get access to knowledge base articles and support cases or submit a ticket.

NVIDIA Developer Community Forum

Get access to community knowledge base articles and support cases (https://forums.developer.nvidia.com/)

License

GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement (found at https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/) the Product-Specific Terms for NVIDIA AI Products (found at https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/); and use of the model is governed by the NVIDIA Open Model License Agreement.

You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.

Publisher
NVIDIA
LicenseNVIDIA proprietary
Latest Tag1.3.1
UpdatedAugust 17, 2026 UTC
Compressed Size8.61 GB
Multinode SupportNo
Multi-Arch SupportYes