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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 45 results
    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
    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
    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
    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
    Holoscan RacerX Video
    NVIDIA
    Short clip from the NVIDIA RacerX demo video to be used for examples and testing of Holoscan SDK
    Resource
    Endoscopy out of body Sample App Data
    —
    Holoscan Sample App data for Endoscopy out of body detection
    Resource
    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
    MELD
    Justin MacCallum, Alberto Perez, and Ken Dill
    MELD is a tool for inferring the structure of biomolecules from sparse, ambiguous, or noisy data. MELD combines semi-reliable data with atomistic physical models using Bayesian inference.
    Container
    Orsi Academy Sample Applications
    NVIDIA
    Sample models, segmentations and videos from ORSI Academy to be used with Holoscan SDK
    Resource
    Medical Hyperspectral Segmentation Sample App Data
    NVIDIA
    Data and model for the medical hyperspectral segmentation sample app.
    Resource
    MegaMolBART gPRC Service v0.1
    NVIDIA
    A gRPC service to generate SMILES using MegaMolBART model.
    Container
    MegaMolBART
    NVIDIA
    A BART transformer language model trained on molecular SMILES strings
    Model
    ESM-2nv 3B
    NVIDIA
    A 3 Billion parameter BERT based model that has model weights converted from Huggingface into NeMo Framework.
    Model
    ESM-2nv 650M
    NVIDIA
    A 650 million parameter BERT model that has model weights converted from Huggingface into NeMo Framework.
    Model
    ProtT5nv
    NVIDIA
    A T5 model developed using the BioNeMo framework starting from a model pre-trained on NLP data from NeMo Framework.
    Model
    EquiDock DB5
    NVIDIA
    EquiDock is an SE(3)-equivariant model that can predict protein-protein complex formation from two invidual proteins.
    Model
    EquiDock DIPS Model
    NVIDIA
    EquiDock is an SE(3)-equivariant model that can predict protein-protein complex formation from two invidual proteins.
    Model

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