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.

Investigate, understand, and interpret single-cell data in minutes, not days, by leveraging RAPIDS-singlecell, powered by NVIDIA CUDA-X Data Science (RAPIDS™).

Easily run essential genomics workflows to save time leveraging Parabricks and CodonFM.
CSegment medical images with foundation models.


Leverage AI models to improve embedded software for automotive applications, boosting efficiency and accelerating deployment.





