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Search thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
Accelerate custom generative AI app deployment using pre-built containers with optimized AI models.

Displaying 31 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
NVIDIA HPC SDK
NVIDIA
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
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
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
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
Evo 2
arc
Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences.
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
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
cp2k
Dr. Ole Schütt - CP2K Foundation
A quantum chemistry and solid state physics software package
Container
DeepSap
NVIDIA
DeepSAP is a transformer-based workflow designed to enhance splice junction detection in RNA-seq data.
Container
openmm
NVIDIA
OpenMM is a high performance toolkit for molecular simulation
Container
Parabricks Umi_Fgbio
NVIDIA
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 Parabricks MambaSV
NVIDIA
MambaSV is a somatic and germline structural variant (SV) caller for long-read sequencing using bidirectional Mamba2 state-space models.
Container
EquiDock DIPS Model
NVIDIA
EquiDock is an SE(3)-equivariant model that can predict protein-protein complex formation from two invidual proteins.
Model
Proteina - Complexa
NVIDIA
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
RNAPro Model Weights
NVIDIA
RNAPro Model Weights
Resource
Vyasa Product Suite
Vyasa Analytics
Vyasa's collection of highly-scalable deep learning software for disparate and diverse biomedical datasets.
Helm Chart
avgflow
NVIDIA
AvgFlow Model Weights
Resource
Consistency Distilled Synthetic Protein Database
NVIDIA
This resource consists of the Consistency Distilled Dataset used for Proteina-Atomistica model training.
Resource
Proteina - Complexa - AME
NVIDIA
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
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