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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.
    NVIDIA AI Enterprise
    NVIDIA AI Enterprise
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  • Displaying 30 results
    NVIDIA Developer Program
    Nvidia
    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
    NVIDIA
    NVIDIA HPC SDK
    The NVIDIA HPC SDK is a comprehensive suite of compilers, libraries and tools essential to maximizing developer productivity and the performance and portability of HPC applications.
    Container
    NVIDIA Developer Program
    MIT
    DiffDock
    Diffdock predicts the 3D structure of the interaction between a molecule and a protein.
    Container
    NVIDIA Developer Program
    Google
    Google
    AlphaFold2
    A widely used model for predicting the 3D structures of proteins from their amino acid sequences.
    Container
    NVIDIA Developer Program
    NVIDIA
    NVIDIA
    MolMIM
    MolMIM is a transformer-based model developed by NVIDIA for controlled small molecule generation.
    Container
    NVIDIA Developer Program
    ipd
    ProteinMPNN
    Predicts amino acid sequences from 3D structure of proteins.
    Container
    NVIDIA
    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
    NVIDIA Developer Program
    ipd
    RFdiffusion
    Generates new protein structures (binder designs, motif scaffoldings, etc.)
    Container
    NVIDIA Developer Program
    arc
    Evo 2 40B
    Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences.
    Container
    NVIDIA
    NVIDIA
    BioNeMo Framework
    BioNeMo Framework for running training and inference on large scale bio-based models.
    Container
    NVIDIA Developer Program
    Google
    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 Developer Program
    arc
    Evo 2
    Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences.
    Container
    Dr. Ole Schütt - CP2K Foundation
    cp2k
    A quantum chemistry and solid state physics software package
    Container
    NVIDIA
    NVIDIA
    openmm
    OpenMM is a high performance toolkit for molecular simulation
    Container
    NVIDIA
    NVIDIA
    DeepSap
    DeepSAP is a transformer-based workflow designed to enhance splice junction detection in RNA-seq data.
    Container
    NVIDIA
    NVIDIA
    Parabricks Umi_Fgbio
    Parabricks Umi_Fgbio is a pipeline that processes sequencing reads with molecular barcodes, and provides impressive error correction and increased accuracy using a sequencing consensus read level.
    Container
    NVIDIA
    NVIDIA
    EquiDock DIPS Model
    EquiDock is an SE(3)-equivariant model that can predict protein-protein complex formation from two invidual proteins.
    Model
    NVIDIA
    NVIDIA
    Proteina - Complexa
    Proteina-Complexa is a flow-matching generative model for fully atomistic protein binder design, jointly generating amino acid sequences and all-atom 3D coordinates from noise using a partially latent architecture derived from La-Proteina
    Model
    Vyasa Analytics
    Vyasa Product Suite
    Vyasa's collection of highly-scalable deep learning software for disparate and diverse biomedical datasets.
    Helm Chart
    NVIDIA
    NVIDIA
    avgflow
    AvgFlow Model Weights
    Resource
    NVIDIA
    NVIDIA
    RNAPro Model Weights
    RNAPro Model Weights
    Resource
    NVIDIA
    NVIDIA
    Consistency Distilled Synthetic Protein Database
    This resource consists of the Consistency Distilled Dataset used for Proteina-Atomistica model training.
    Resource
    NVIDIA
    NVIDIA
    avgflow
    AvgFlow Model Weights
    Resource
    NVIDIA
    NVIDIA
    avgflow
    AvgFlow Model Weights
    Resource

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