Skip to main content
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
    38
    18
    8
    3
    1
  • NVIDIA Platform
    NVIDIA Platform
    74
    3
  • Industry
    Industry
  • Solution
    Solution
    48
    38
    37
  • Publisher
    Publisher
    143
  • Policy
    Policy
  • Displaying 148 results
    Multi-scale Diarization Decoder (MSDD) model for speaker diarization of telephone conversations
    Model
    HiFiGAN Speech Synthesis model
    Model
    Conformer-CTC-Large model for English Automatic Speech Recognition, Trained on NeMo ASRSET
    Model
    FastPitch Speech Synthesis model trained on female English speech.
    Model
    This collection contains two models. 1) Multi-speaker 44100Hz FastPitch trained on approximately 20 hours of Latin American Spanish speech from 174 speakers. 2) HiFiGAN trained on mel spectrograms produced by the Multi-speaker FastPitch in (1).
    Model
    BERT Large Uncased trained on English Wikipedia and BookCorpus
    Model
    Neural Machine Translation (NMT) model to translate from English to Spanish
    Model
    MarbleNet VAD model
    Model
    Neural Machine Translation (NMT) model to translate from English to Simplified Chinese
    Model
    Citrinet 1024model trained on ASR Set dataset
    Model
    Tacotron2 Speech Synthesis model trained on female English speech
    Model
    QuartzNet is a Jasper-like network that uses separable convolutions and larger filter sizes. It has comparable accuracy to Jasper while having much fewer parameters. This particular model has 15 blocks each repeated 5 times.
    Model
    SpeakertNet-M model trained with NeMo for speaker verification and speaker embeddings
    Model
    Speech To Text (STT) model based on QuartzNet for recognizing Spanish speech.
    Model
    Conformer-CTC-Medium model for English Automatic Speech Recognition, Trained on NeMo ASRSET
    Model
    FastPitch+HiFiGAN End-to-End Speech Synthesis model trained on female English speech
    Model
    Citrinet-1024 model with kernel scaling factor (gamma) of 25%, which has been trained on the open-source Aishell-2 Mandarin Chinese corpus.
    Model
    Conformer-Transducer-Large model for English Automatic Speech Recognition, Trained on NeMo ASRSET
    Model
    Conformer-CTC-Small model for English Automatic Speech Recognition, Trained on NeMo ASRSET
    Model
    Speech To Text (STT) model based on QuartzNet for recognizing Russian speech.
    Model
    BERT Base Uncased trained on English Wikipedia and BookCorpus
    Model
    Neural Machine Translation (NMT) model to translate from English to Spanish
    Model
    Citrinet 512 model trained on Aishell-2 Mandarin corpus
    Model
    MarbleNet VAD model for telephony data
    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.