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  • Displaying 83 results
    NVIDIA
    NVIDIA
    PyTorch
    PyTorch is a GPU accelerated tensor computational framework. Functionality can be extended with common Python libraries such as NumPy and SciPy. Automatic differentiation is done with a tape-based system at the functional and neural network layer levels.
    Container
    NVIDIA
    NVIDIA
    PyTorch for AI Workbench
    PyTorch - AI Workbench Default Container
    Container
    NVIDIA
    NVIDIA
    TensorRT LLM Release
    TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.
    Container
    NVIDIA Developer Program
    Nvidia
    Nvidia
    NVIDIA NIM for GenMol
    GenMol is a masked diffusion model trained on molecular SAFE representations for fragment-based molecule generation, which can serve as a generalist model for various drug discovery tasks.
    Container
    NVIDIA
    NVIDIA
    monai_spleen_ct_segmentation
    A pre-trained model for volumetric (3D) segmentation of the spleen from CT image.
      Model
      NVIDIA Developer Program
      MIT
      DiffDock
      Diffdock predicts the 3D structure of the interaction between a molecule and a protein.
      Container
      Meta
      Meta
      NVIDIA L4T PyTorch
      PyTorch is a GPU accelerated tensor computational framework with a Python front end. This container contains PyTorch and torchvision pre-installed in a Python 3 environment to get up & running quickly with PyTorch on Jetson.
      Container
      NVIDIA
      NVIDIA
      NVIDIA L4T ML
      Get started on your AI journey quickly on Jetson. The Machine learning container contains TensorFlow, PyTorch, JupyterLab, and other popular ML and data science frameworks such as scikit-learn, scipy, and Pandas pre-installed in a Python environment.
        Container
        NVIDIA
        NVIDIA
        TensorRT LLM Develop
        TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.
        Container
        NVIDIA
        NVIDIA
        Merlin PyTorch
        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
        NVIDIA AI Enterprise
        NVIDIA
        NVIDIA
        PyTorch October 2024 (PB 24h2)
        PyTorch Production Branch October 2024 (PB 24h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
        Container
        NVIDIA
        NVIDIA
        nemo-automodel
        NVIDIA NeMo™ AutoModel accelerates LLM and VLM training and fine‑tuning with PyTorch DTensor‑native SPMD, day‑0 Hugging Face support, and optimized parallelism from single‑ to multi‑node scale.
        Container
        NVIDIA
        NVIDIA
        DLI Getting Started with AI on Jetson Nano
        Course environment for the Deep Learning Institute (DLI) course, "Getting Started with AI on Jetson Nano".
        Container
        NVIDIA Developer Program
        NVIDIA
        NVIDIA
        DoMINO-Automotive-Aero NIM
        This NIM serves as a demonstration of the potential of foundation models for early stage design evaluation in automotive aerodynamics.
        Container
        NVIDIA
        NVIDIA
        Merlin PyTorch Training
        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
        NVIDIA AI Enterprise
        NVIDIA
        NVIDIA
        PyTorch October 2025 (PB 25h2)
        PyTorch Production Branch October 2025 (PB 25h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. This release includes Government Ready images for regulated environments.
        Container
        NVIDIA
        NVIDIA
        Neural Reconstruction Container - GA
        NVIDIA Neural Reconstruction (NuRec) is a technology that converts recorded camera and lidar data into 3D scenes.
        Container
        NVIDIA AI Enterprise
        NVIDIA
        NVIDIA
        PyTorch May 2025 (PB 25h1)
        PyTorch Production Branch May 2025 (PB 25h1) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. This release is a branch of PyTorch 25.03.
        Container
        NVIDIA AI Enterprise
        NVIDIA
        NVIDIA
        Pytorch LTSB 2
        PyTorch is a GPU accelerated tensor computational framework. Functionality can be extended with common Python libraries such as NumPy and SciPy. Automatic differentiation is done with a tape-based system at the functional and neural network layer levels.
        Container
        NVIDIA
        NVIDIA
        Merlin PyTorch Inference
        This container allows users to deploy NVTabular workflows and PyTorch models to Triton Inference server for production.
        Container
        NVIDIA AI Enterprise IGX
        Meta
        Meta
        Pytorch LTSB2 IGX
        PyTorch is a GPU accelerated tensor computational framework. Functionality can be extended with common Python libraries such as NumPy and SciPy. Automatic differentiation is done with a tape-based system at the functional and neural network layer levels.
        Container
        NVIDIA
        NVIDIA
        Neural Reconstruction Tools Container - GA
        NVIDIA Neural Reconstruction Tools Container containing Aux Data Generation.
        Container
        NVIDIA
        NVIDIA
        Nemo with Pytorch Lightning
        The primary objective of NeMo is to help researchers from industry and academia to reuse prior work and make it easier to create new conversational AI models.
        Resource
        NVIDIA
        NVIDIA
        monai_brats_mri_segmentation
        A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data.
          Model