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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 149 results
    Nvidia
    NVIDIA NIM for GenMol
    GenMol is a masked diffusion model trained on molecular SAFE representations for fragment-based molecule generation, which can serve as a generalist model for various drug discovery tasks.
    Container
    NVIDIA
    monai_spleen_ct_segmentation
    A pre-trained model for volumetric (3D) segmentation of the spleen from CT image.
      Model
      MIT
      DiffDock
      Diffdock predicts the 3D structure of the interaction between a molecule and a protein.
      Container
      Google
      AlphaFold2
      A widely used model for predicting the 3D structures of proteins from their amino acid sequences.
      Container
      NVIDIA
      MolMIM
      MolMIM is a transformer-based model developed by NVIDIA for controlled small molecule generation.
      Container
      NVIDIA
      NVIDIA Parabricks
      NVIDIA Parabricks is an accelerated compute framework that supports applications across the genomics industry, primarily supporting analytical workflows for DNA, RNA, and somatic mutation detection applications.
      Container
      ipd
      ProteinMPNN
      Predicts amino acid sequences from 3D structure of proteins.
      Container
      ipd
      RFdiffusion
      Generates new protein structures (binder designs, motif scaffoldings, etc.)
      Container
      arc
      Evo 2 40B
      Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences.
      Container
      NVIDIA
      BioNeMo Framework
      BioNeMo Framework for running training and inference on large scale bio-based models.
      Container
      NVIDIA
      PhysicsNeMo
      NVIDIA PhysicsNeMo is an open-source framework for building, training, and fine-tuning Physics-ML models.
      Container
      Google
      AlphaFold2-Multimer
      A widely used model for predicting the 3D structures of proteins from their amino acid sequences. This version of the container supports multimers, i.e. proteins made up of 2 or more polypeptide chains.
      Container
      NVIDIA
      VISTA-3D NIM
      The VISTA-3D NIM accelerates ground truth data creation by streamlining segmentation and annotations with an interactive foundation model.
      Container
      arc
      Evo 2
      Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences.
      Container
      NVIDIA
      MAISI NIM
      MAISI NIM generated high-quality synthetic CT images with or without anatomical annotations.
      Container
      NVIDIA
      Endoscopy Sample App Data
      Holoscan Sample App Data for AI-based Endoscopy Tool Tracking
      Resource
      NVIDIA
      Multi-AI Sample App Data
      Holoscan Sample App Data for Multi-AI Ultrasound Pipeline
      Resource
      NVIDIA
      MONAI Toolkit
      MONAI Toolkit is a one-stop, development sandbox environment for researchers, data scientists, developers, and clinical teams.
      Container
      NVIDIA
      Colonoscopy Sample App Data
      Holoscan Sample App Data for AI Colonoscopy Segmentation of Polyps
      Resource
      Open Source
      Relion
      RELION implements an empirical Bayesian approach for analysis of electron cryo-microscopy.
        Container
        —
        Endoscopy out of body Sample App Data
        Holoscan Sample App data for Endoscopy out of body detection
        Resource
        NVIDIA
        Single Cell Examples
        Contains example notebooks demonstrating the use of RAPIDS for GPU-accelerated analysis of single-cell sequencing data.
        Container
        NVIDIA
        BodyPoseNet
        Detect body pose from an image.
        Model
        —
        ESM-1nv
        A NeMo Megatron BERT based model trained on protein sequences.
        Model

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