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Accelerate custom generative AI app deployment using pre-built containers with optimized AI models.

Displaying 60 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
RFdiffusion
ipd
Generates new protein structures (binder designs, motif scaffoldings, etc.)
Container
msa-search
ColabFold
The Multiple Sequence Alignment (MSA) Search NIM enables protein structure prediction models by providing fast, accurate sequence alignments of a query amino acid sequence against large databases of known proteins.
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
ESM-1nv
—
A NeMo Megatron BERT based model trained on protein sequences.
Model
ALCHEMI Batched Molecular Dynamics
NVIDIA
Atomistic Molecular Dynamics NIM with machine learning interatomic potentials.
Container
ALCHEMI Batched Geometry Relaxation NIM
NVIDIA
Atomistic Geometry Optimization/Relaxation NIM with machine learning interatomic potentials.
Container
NAMD
UIUC
NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems.
Container
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
OpenFold
NVIDIA
OpenFold predicts protein structures from protein sequence inputs and optional multiple sequence alignments (MSAs) and template(s).
Model
DNABERT
NVIDIA
DNABERT generates a dense representation of a genome sequence by identifying contextually similar sequences in the human genome.
Model
GenMol
NVIDIA BioNeMo
GenMol Model V2 Weights
Resource
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