Deploy Models Now with NVIDIA NIM
Optimized inference for the world’s leading modelsFree serverless APIs for development
Self-Host on your GPU infrastructure
Continuous vulnerability fixes
Comprehensive reference workflows that accelerate application development and deployment, featuring NVIDIA acceleration libraries, APIs, and microservices for AI agents, digital twins, and more.
Build advanced AI agents within the biomedical domain using the AI-Q Blueprint and the BioNeMo Virtual Screening Blueprint
This blueprint shows how generative AI and accelerated NIM microservices can design protein binders smarter and faster.
This blueprint shows how generative AI and accelerated NIM microservices can design optimized small molecules smarter and faster.
Investigate, understand, and interpret single cell data in minutes, not days by leveraging RAPIDS-singlecell, powered by NVIDIA RAPIDS
Easily run essential genomics workflows to save time leveraging Parabricks
Large language models purpose-built for healthcare and life sciences.
Leading LLM for accurate, contextually relevant responses in the medical domain.
Leading LLM for accurate, contextually relevant responses in the medical domain.
The gold-standard for secondary analysis.
Leverage AI models to improve embedded software for automotive applications, boosting efficiency and accelerating deployment.
Generates a multiple sequence alignment from a query sequence and a protein sequence database search.
This workflow shows how generative AI can generate DNA sequences that can be translated into proteins for bioengineering.
Predicts the 3D structure of a protein from its amino acid sequence.
ProteinMPNN is a deep learning model for predicting amino acid sequences for protein backbones.
Predicts the 3D structure of a protein from its amino acid sequence.
A generative model of protein backbones for protein binder design.
