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NVIDIA AI Enterprise
NVIDIA AI Enterprise
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  • Displaying 10 results
    Monitor GPUs in Kubernetes using NVIDIA DCGM. This is an exporter for a Prometheus monitoring solution in Kubernetes.
      Container
      NVIDIA AI Enterprise
      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 AI Enterprise 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
      Roitberg group
      TorchANI
      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 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
        NVIDIA
        NVIDIA
        pix2pixHD
        Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic image-to-image translation.
        Model
        Chunghwa Telecom Laboratories
        SF Bilingual Speech in Chinese and English
        A bilingual (Mandarin-English) Speech Dataset.
        Resource
        Building computer vision service using NVIDIA NGC to train, optimize and deploy with Triton Inference Server application in GCP Marketplace.
        Resource
        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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