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
    3
  • NVIDIA Platform
    NVIDIA Platform
    2
    1
  • Industry
    Industry
  • Solution
    Solution
    1
    1
  • Publisher
    Publisher
    11
  • Policy
    Policy
  • Displaying 11 results
    NVIDIA
    NVIDIA
    STT En Conformer-CTC Large
    Conformer-CTC-Large model for English Automatic Speech Recognition, Trained on NeMo ASRSET
      Model
      NVIDIA
      NVIDIA
      STT En Conformer-CTC Medium
      Conformer-CTC-Medium model for English Automatic Speech Recognition, Trained on NeMo ASRSET
      Model
      NVIDIA
      NVIDIA
      STT En Conformer-Transducer Large
      Conformer-Transducer-Large model for English Automatic Speech Recognition, Trained on NeMo ASRSET
        Model
        NVIDIA
        NVIDIA
        STT En Conformer-CTC Small
        Conformer-CTC-Small model for English Automatic Speech Recognition, Trained on NeMo ASRSET
        Model
        NVIDIA
        NVIDIA
        STT En Conformer-CTC Large LibriSpeech
        Conformer-CTC-Large model for English Automatic Speech Recognition, Trained with NeMo on LibriSpeech dataset
        Model
        NVIDIA
        NVIDIA
        STT En Conformer-Transducer Small
        Conformer-Transducer-Small model for English Automatic Speech Recognition, Trained on NeMo ASRSET
          Model
          NVIDIA
          NVIDIA
          STT En FastConformer Hybrid Transducer-CTC Large Streaming 80ms
          This collection contains the large version (114M) of the streaming speech recognition model trained on NeMo ASRSET for English with look-ahead of 80ms. All models are cache-aware hybrid FastConformer with both Transducer and CTC decoders.
          Model
          NVIDIA
          NVIDIA
          STT En Conformer-CTC Small LibriSpeech
          Conformer-CTC-Small model for English Automatic Speech Recognition, Trained with NeMo on LibriSpeech dataset
            Model
            NVIDIA
            NVIDIA
            STT En Conformer-Transducer Medium
            Conformer-Transducer-Medium model for English Automatic Speech Recognition, Trained on NeMo ASRSET
              Model
              NVIDIA
              NVIDIA
              STT En Conformer-CTC Medium LibriSpeech
              Conformer-CTC-Medium model for English Automatic Speech Recognition, Trained with NeMo on LibriSpeech dataset
                Model
                NVIDIA
                NVIDIA
                STT En Conformer-Transducer Large LibriSpeech
                Conformer-Transducer-Large model for English Automatic Speech Recognition, Trained on LibriSpeech
                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.