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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 Enterprise
NVIDIA Enterprise
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NVIDIA NIM
NVIDIA NIM
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NIM Container GPUs
NIM Container GPUs
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Use Case
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NVIDIA Platform
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Industry
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Policy
Displaying 150 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
monai_spleen_ct_segmentation
A pre-trained model for volumetric (3D) segmentation of the spleen from CT image.
Model
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
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
ProteinMPNN
Predicts amino acid sequences from 3D structure of proteins.
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
NVIDIA
PhysicsNeMo
NVIDIA PhysicsNeMo is an open-source framework for building, training, and fine-tuning Physics-ML 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
NVIDIA
NVIDIA
VISTA-3D NIM
The VISTA-3D NIM accelerates ground truth data creation by streamlining segmentation and annotations with an interactive foundation model.
Container
NVIDIA
NVIDIA
Endoscopy Sample App Data
Holoscan Sample App Data for AI-based Endoscopy Tool Tracking
Resource
NVIDIA Developer Program
NVIDIA
NVIDIA
MAISI NIM
MAISI NIM generated high-quality synthetic CT images with or without anatomical annotations.
Container
NVIDIA
NVIDIA
Multi-AI Sample App Data
Holoscan Sample App Data for Multi-AI Ultrasound Pipeline
Resource
NVIDIA Developer Program
arc
Evo 2
Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences.
Container
NVIDIA
NVIDIA
MONAI Toolkit
MONAI Toolkit is a one-stop, development sandbox environment for researchers, data scientists, developers, and clinical teams.
Container
NVIDIA
NVIDIA
Colonoscopy Sample App Data
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
NVIDIA
NVIDIA
BodyPoseNet
Detect body pose from an image.
Model
NVIDIA
NVIDIA
Single Cell Examples
Contains example notebooks demonstrating the use of RAPIDS for GPU-accelerated analysis of single-cell sequencing data.
Container
—
ESM-1nv
A NeMo Megatron BERT based model trained on protein sequences.
Model
Open Source
Relion
RELION implements an empirical Bayesian approach for analysis of electron cryo-microscopy.
Container

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