ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
ModelsNVIDIAStyleGAN3 pretrained modelsNVIDIAPeopleNetNVIDIATrafficCamNet
ResourcesNVIDIARiva Skills Quick Start
Helm ChartsNVIDIAGPU OperatorNVIDIANVIDIA NIM Operator
  • SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
    NVIDIA AI Enterprise
    NVIDIA AI Enterprise
  • NVIDIA NIM
    NVIDIA NIM
  • NIM Container GPUs
    NIM Container GPUs
  • Use Case
    Use Case
    15
    2
    1
    1
    1
  • NVIDIA Platform
    NVIDIA Platform
    11
    3
    1
  • Industry
    Industry
    1
    1
  • Solution
    Solution
    11
    5
    5
    1
  • Publisher
    Publisher
    16
    1
  • Policy
    Policy
  • Displaying 18 results
    NVIDIA
    NVIDIA
    Domain Specific NeMo ASR Application
    The Domain Specific - NeMo Automatic Speech Recognition (ASR) Application facilitates training, evaluation and performance comparison of ASR models. This NeMo application enables you to train or fine-tune pre-trained ASR models with your own data.
    Container
    MeetKai Inc.
    MK-SQuIT
    SQuIT (Synthesizing Questions using Iterative Template-Filling) is a generated dataset produced with little human intervention. This container provides several tutorial applications - an interactive dataset explorer, a walkthrough of the generation pipeline, and a demonstration using NeMo to fine tune and evaluate a model on the dataset.
    Container
    NVIDIA
    NVIDIA
    Audio Codec 16kHz Small
    This model card contains a Small Audio Codec model trained on the Libri-Light audiobook recordings dataset, comprising approximately 60,000 hours of English language speech with a 16kHz sampling rate.
    Model
    NVIDIA
    NVIDIA
    LangID PearlNet
    PearlNet Lang ID model for Spoken Language Identification
    Model
    NVIDIA
    NVIDIA
    TitaNet-S
    TitaNet Small model for Speaker Verification and Diarization tasks
    Model
    NVIDIA
    NVIDIA
    STT En Fast Conformer-CTC Large
    Fast Conformer-CTC-Large model for English Automatic Speech Recognition, Trained on NeMo ASRSET
    Model
    NVIDIA
    NVIDIA
    Parakeet-TDT_CTC-110M
    Large size version of hybrid Fast Conformer TDT-CTC 114M parameter model trained on larger dataset of 36000 hrs with Punctuation and Capitalization. This model is jointly developed by NVIDIA NeMo and Suno.ai teams.
    Model
    NVIDIA
    NVIDIA
    STT En FastConformer Hybrid Transducer-CTC Large P&C
    This collection contains the large version (114M) of the English speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 1024 and emits text with punctuation and capitalization.
    Model
    —
    STT En Zh Multilingual Code-Switched FastConformer Transducer L
    English + Mandarin Multilingual and Code-Switched Speech Recognition FastConformer Transducer Large Model
    Model
    NVIDIA
    NVIDIA
    STT En Fast Conformer-Transducer Large
    Fast Conformer-Transducer-Large model for English Automatic Speech Recognition, Trained on NeMo ASRSET
    Model
    NVIDIA
    NVIDIA
    STT Fa FastConformer Hybrid Transducer-CTC Large
    This collection contains the large version (114M) of the Persian speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 1024.
    Model
    NVIDIA
    NVIDIA
    TTS En FastPitch SpectrogramEnhancer For-ASR-Finetuning
    This collection contains FastPitch and Spectrogram Enhancer models. Main use case is English ASR domain fine-tuning. Direct TTS use is not advised.
    Model
    NVIDIA
    NVIDIA
    STT En Fast Conformer-Transducer XXLarge
    Fast Conformer-Transducer-XXLarge model for English Automatic Speech Recognition, trained on NeMo ASRSET 3.0
    Model
    NVIDIA
    NVIDIA
    STT En Fast Conformer-CTC XLarge
    Fast Conformer-CTC-XLarge model for English Automatic Speech Recognition, Trained on NeMo ASRSET
    Model
    NVIDIA
    NVIDIA
    STT En Fast Conformer-Transducer Large LibriSpeech
    Fast Conformer-Transducer-Large model for English Automatic Speech Recognition, Trained with NeMo on LibriSpeech dataset
    Model
    NVIDIA
    NVIDIA
    STT En Fast Conformer-Transducer XLarge
    Fast Conformer-Transducer-Large model for English Automatic Speech Recognition, Trained on NeMo ASRSET 3.0
    Model
    NVIDIA
    NVIDIA
    STT En Fast Conformer-CTC XXLarge
    Fast Conformer-CTC-XXLarge model for English Automatic Speech Recognition, Pre-trained on LibriLight and fine-tuned on NeMo ASRSET 3.0
    Model
    NVIDIA
    NVIDIA
    ESM-2nv 8M
    An 8 million parameter BERT model fully pre-trained with BioNeMo
    Model

    NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.