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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 10 results
    DCGM Exporter
    NVIDIA
    DCGM Exporter converts selected DCGM telemetry fields to Prometheus text format. Run one exporter on each GPU node that Prometheus monitors.
    Container
    Pytorch LTSB 2
    NVIDIA
    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
    Pytorch LTSB2 IGX
    Meta
    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
    TorchANI
    Roitberg group
    TorchANI is a PyTorch implementation of ANI and contains classes like AEVComputer, ANIModel, and EnergyShifter that can be pipelined to compute molecular energies from the 3D coordinates of molecules
    Container
    Isaac ML 3D Pose
    NVIDIA
    Isaac SIM ML Training Workflow - Object 3D pose estimation - this is a Docker container to help Robotics ML engineers to use Isaac Sim to train object 3D pose estimation (included with Isaac SDK) using simulation data and test it in simulation as well as real world. It is targeted at Robotics App Developer and ML Engineer. Required HW is NVIDIA DGX Station i.e. V100 is preferred; but any CUDA capable GPU will do.Please add description
    Container
    pix2pixHD
    NVIDIA
    Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic image-to-image translation.
    Model
    SF Bilingual Speech in Chinese and English
    Chunghwa Telecom Laboratories
    A bilingual (Mandarin-English) Speech Dataset.
    Resource
    Building CV Service Using NVIDIA NGC and Triton in Google Cloud
    NVIDIA
    Building computer vision service using NVIDIA NGC to train, optimize and deploy with Triton Inference Server application in GCP Marketplace.
    Resource
    QuartzNet15x5: WSJ, LibriSpeech & MCV
    NVIDIA
    QuartzNet15x5 model trained on WSJ, LibriSpeech and Mozilla's Common Voice En with NeMo
    Model
    Determined AI
    Determined AI
    Determined’s open source deep learning training platform enables teams to train models faster using industry-leading hyperparameter tuning and distributed training methods.
    Helm Chart

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