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
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  • Displaying 8 results
    The Merlin PyTorch container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with PyTorch, and serve the trained model on Triton Inference Server.
    Container
    This container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with TensorFlow.
    Container
    The Merlin TensorFlow container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with TensorFlow, and serve the trained model on Triton Inference Server.
    Container
    This container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with PyTorch.
    Container
    The Merlin HugeCTR container enables you to perform data preprocessing, feature engineering, train models with HugeCTR, and then serve the trained model with Triton Inference Server.
    Container
    This container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with HugeCTR.
    Container
    This container allows users to deploy NVTabular workflows and PyTorch models to Triton Inference server for production.
    Container
    This container allows users to deploy NVTabular workflows and TensorFlow models to Triton Inference server for production.
    Container