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  • SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
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  • Displaying 8 results
    NVIDIA
    NVIDIA
    PyG
    PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.
    Container
    NVIDIA AI Enterprise
    NVIDIA
    NVIDIA
    PyG PB October 2024 (PB 24h2)
    PyG 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 Developer Program
    NVIDIA
    NVIDIA
    ALCHEMI Batched Molecular Dynamics
    Atomistic Molecular Dynamics NIM with machine learning interatomic potentials.
    Container
    NVIDIA Developer Program
    NVIDIA
    NVIDIA
    ALCHEMI Batched Geometry Relaxation NIM
    Atomistic Geometry Optimization/Relaxation NIM with machine learning interatomic potentials.
    Container
    NVIDIA
    NVIDIA
    NVIDIA PhysicsNeMo Sym Examples Supplemental Materials
    This contains all the supplemental data for PhysicsNeMo Sym examples. This includes validation data, training data, large CSV/STLs, etc. For the python scripts, please refer https://github.com/nvidia/physicsnemo-sym
    Resource
    NVIDIA
    NVIDIA
    PhysicsNeMo Datasets: Stokes Flow
    Stokes flow dataset with parameterized domain
    Resource
    NVIDIA
    NVIDIA
    NVIDIA PhysicsNeMo Examples Supplemental Materials
    This contains all the supplemental data for PhysicsNeMo examples. This includes files apart from the actual dataset required for training. For the python scripts, please refer https://github.com/nvidia/physicsnemo
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    NVIDIA
    NVIDIA
    Deep Learning Frameworks
    This collection contains performance-optimized Deep Learning frameworks.
    9

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