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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 124 results
    NVIDIA NIM for GenMol
    Nvidia
    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
    DiffDock
    MIT
    Diffdock predicts the 3D structure of the interaction between a molecule and a protein.
    Container
    AlphaFold2
    Google
    A widely used model for predicting the 3D structures of proteins from their amino acid sequences.
    Container
    MolMIM
    NVIDIA
    MolMIM is a transformer-based model developed by NVIDIA for controlled small molecule generation.
    Container
    NVIDIA Parabricks
    NVIDIA
    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
    ProteinMPNN
    ipd
    Predicts amino acid sequences from 3D structure of proteins.
    Container
    RFdiffusion
    ipd
    Generates new protein structures (binder designs, motif scaffoldings, etc.)
    Container
    BioNeMo Framework
    NVIDIA
    BioNeMo Framework for running training and inference on large scale bio-based models.
    Container
    Evo 2 40B
    arc
    Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences.
    Container
    PhysicsNeMo
    NVIDIA
    NVIDIA PhysicsNeMo is an open-source framework for building, training, and fine-tuning Physics-ML models.
    Container
    Evo 2
    arc
    Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences.
    Container
    AlphaFold2-Multimer
    Google
    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
    VISTA-3D NIM
    NVIDIA
    The VISTA-3D NIM accelerates ground truth data creation by streamlining segmentation and annotations with an interactive foundation model.
    Container
    MAISI NIM
    NVIDIA
    MAISI NIM generated high-quality synthetic CT images with or without anatomical annotations.
    Container
    Endoscopy Sample App Data
    NVIDIA
    Holoscan Sample App Data for AI-based Endoscopy Tool Tracking
    Resource
    Multi-AI Sample App Data
    NVIDIA
    Holoscan Sample App Data for Multi-AI Ultrasound Pipeline
    Resource
    MONAI Toolkit
    NVIDIA
    MONAI Toolkit is a one-stop, development sandbox environment for researchers, data scientists, developers, and clinical teams.
    Container
    Colonoscopy Sample App Data
    NVIDIA
    Holoscan Sample App Data for AI Colonoscopy Segmentation of Polyps
    Resource
    Endoscopy out of body Sample App Data
    —
    Holoscan Sample App data for Endoscopy out of body detection
    Resource
    Single Cell Examples
    NVIDIA
    Contains example notebooks demonstrating the use of RAPIDS for GPU-accelerated analysis of single-cell sequencing data.
    Container
    BodyPoseNet
    NVIDIA
    Detect body pose from an image.
    Model
    ESM-1nv
    —
    A NeMo Megatron BERT based model trained on protein sequences.
    Model
    Cheminformatics Demo
    NVIDIA
    Real-time interactive search of chemical space is useful in the pursuit of novel chemical entities. This application demonstrates searching, screening, and organizing a large chemical database of compounds.
    Container
    Holoscan LTSB2
    NVIDIA
    Holoscan LTSB2, part of NVIDIA AI Enterprise, the AI sensor processing platform.
    Container

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