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
3
2
2
  • NVIDIA NIM
    NVIDIA NIM
    2
  • NIM Container GPUs
    NIM Container GPUs
  • Use Case
    Use Case
    1
    1
    1
  • NVIDIA Platform
    NVIDIA Platform
    3
    1
  • Industry
    Industry
    3
  • Solution
    Solution
    1
    1
    1
    1
    1
  • Publisher
    Publisher
    21
  • Policy
    Policy
  • Displaying 21 results
    A pre-trained model for volumetric (3D) segmentation of the spleen from CT image.
      Model
      NVIDIA Developer Program
      The VISTA-3D NIM accelerates ground truth data creation by streamlining segmentation and annotations with an interactive foundation model.
      Container
      NVIDIA Developer Program
      NVIDIA
      NVIDIA
      MAISI NIM
      MAISI NIM generated high-quality synthetic CT images with or without anatomical annotations.
      Container
      MONAI Toolkit is a one-stop, development sandbox environment for researchers, data scientists, developers, and clinical teams.
      Container
      A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data.
        Model
        A pre-trained SegResNet model for volumetric (3D) segmentation of the 104 whole body segments.
          Model
          A pre-trained model for volumetric (3D) multi-organ segmentation from CT image.
            Model
            A pre-trained model for the endoscopic inbody classification task.
              Model
              A pre-trained model for volumetric (3D) detection of the lung lesion from CT image.
                Model
                A pre-trained model for 3D segmentation of the spleen organ from CT images using DeepEdit.
                  Model
                  A pre-trained model for Nuclei Classification within Haematoxylin & Eosin stained histology images.
                    Model
                    A pre-trained model for segmenting nuclei cells with user clicks/interactions.
                      Model
                      A pre-trained model for the endoscopic tool segmentation task.
                        Model
                        A simultaneous segmentation and classification of nuclei within multitissue histology images based on CoNSeP data.
                          Model
                          A neural architecture search algorithm for volumetric (3D) segmentation of the pancreas and pancreatic tumor from CT image.
                            Model
                            A pre-trained model for automated detection of metastases in whole-slide histopathology images.
                              Model
                              A generative model for creating 3D brain MRI from Gaussian noise based on BraTS dataset.
                                Model
                                A generative model for creating 2D brain MRI axial slices from Gaussian noise based on BraTS dataset.
                                  Model
                                  VISTA-2D is a comprehensive training and inference pipeline for cell segmentation in imaging applications.
                                    Model
                                    VISTA-3D is a specialized interactive foundation model for 3D medical imaging.
                                      Model
                                      A generative model for creating 3D CT from Gaussian noise.
                                        Model