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Models

Deploy and scale models on your GPU infrastructure of choice with NVIDIA NIM inference microservices

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Use Case

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mit Boltz-2

Predict complex structures using Boltz-2.

colabfold msa-search

Generates a multiple sequence alignment from a query sequence and a protein sequence database search.

openfold openfold2

Predicts the 3D structure of a protein from its amino acid sequence, multiple sequence alignments, and templates.

arc evo2-40b

Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences while retaining sensitivity to single-nucleotide changes.

nvidia genmol

Fragment-Based Molecular Generation by Discrete Diffusion.

deepmind alphafold2-multimer

Predicts the 3D structure of a protein from its amino acid sequence.

meta esm2-650m

Generates embeddings of proteins from their amino acid sequences.

deepmind alphafold2

Predicts the 3D structure of a protein from its amino acid sequence.

ipd proteinmpnn

ProteinMPNN is a deep learning model for predicting amino acid sequences for protein backbones.

ipd rfdiffusion

A generative model of protein backbones for protein binder design.

nvidia molmim

MolMIM performs controlled generation, finding molecules with the right properties.

meta esmfold

Predicts the 3D structure of a protein from its amino acid sequence.

mit diffdock

Predicts the 3D structure of how a molecule interacts with a protein.