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
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    NVIDIA NIM
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    NIM Container GPUs
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  • Displaying 82 results
    Deploy and Manage NVIDIA GPU resources in Kubernetes.
      Helm Chart
      Deploy and Manage NVIDIA GPU resources in Kubernetes.
        Container
        OSMO container for service APIs
          Container
          Deploy and manage NVIDIA networking resources in Kubernetes.
            Container
            OSMO container to enable exec and port-forwarding for workflows
              Container
              NVIDIA
              NVIDIA
              OSMO Init
              OSMO container to initialize the controller
                Container
                OSMO container to enable CLIs
                  Container
                  OSMO container to stream logs from workflow in real-time
                    Container
                    OSMO container to process jobs as Kubernetes objects
                      Container
                      OSMO container to monitor and clean up all jobs exceeding the timeouts
                        Container
                        OSMO container to submit jobs in the backend compute cluster
                          Container
                          OSMO container for web application
                            Container
                            OSMO container to stream node and pod events from the backend compute cluster
                              Container
                              Semantic segmentation of persons in an image.
                                Model
                                Helm Chart to deploy TAO Toolkit APIs
                                  Helm Chart
                                  OSMO container to process workflows and convert to jobs
                                    Container
                                    OSMO container to evaluate user roles and access
                                      Container
                                      4 class object detection network to detect cars in an image.
                                      Model
                                      Pretrained weights to facilitate transfer learning using TAO Toolkit.
                                      Model
                                      Pretrained weights to facilitate transfer learning using TAO Toolkit.
                                      Model
                                      Folding@home
                                      Folding@home
                                      Folding@home is a distributed computing project for simulating protein dynamics, including the process of protein folding and the movements of proteins implicated in a variety of diseases. It brings together citizen scientists who volunteer to run simulations of protein dynamics on their computers. Insights from this data are helping scientists to better understand biology, and providing new opportunities for developing therapeutics.
                                        Container
                                        Resnet18 model to classify a car crop into 1 out 6 car types.
                                        Model
                                        Pre-trained SegFormer weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
                                          Model
                                          Resnet18 model to classify a car crop into 1 out 20 car brands.
                                          Model

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