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Models
Deploy and scale models on your GPU infrastructure of choice with NVIDIA NIM inference microservices
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11 models
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NVIDIA
Enterprise
Build A Generative Protein Binder Design Pipeline
This blueprint shows how generative AI and accelerated NIM microservices can design protein binders smarter and faster.
generative-virtual-screening-for-drug-discovery
+6
2.41K
5d
MIT
Downloadable
Boltz-2
Predict complex structures using Boltz-2.
nim
+4
114K
8mo
Colabfold
Downloadable
msa-search
Generates a multiple sequence alignment from a query sequence and a protein sequence database search.
nim
+4
1.15K
9mo
Openfold
Downloadable
openfold2
Predicts the 3D structure of a protein from its amino acid sequence, multiple sequence alignments, and templates.
nim
+4
609
10mo
Arc
Downloadable
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.
DNA Generation
+4
374K
10mo
DeepMind
Downloadable
alphafold2-multimer
Predicts the 3D structure of a protein from its amino acid sequence.
nim
+4
146
1y
Meta
Free Endpoint
esm2-650m
Generates embeddings of proteins from their amino acid sequences.
nim
+4
168K
1y
DeepMind
Downloadable
alphafold2
Predicts the 3D structure of a protein from its amino acid sequence.
nim
+4
375
1y
IPD
Downloadable
proteinmpnn
ProteinMPNN is a deep learning model for predicting amino acid sequences for protein backbones.
biology
+4
8.61K
8mo
IPD
Downloadable
rfdiffusion
A generative model of protein backbones for protein binder design.
biology
+4
12.74K
10mo
Meta
Free Endpoint
esmfold
Predicts the 3D structure of a protein from its amino acid sequence.
biology
+4
311K
9mo
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