Nvidia has announced Nvidia NIM Agent Blueprints, which it describes as an enterprise-ready catalog of pre-trained, customizable AI workflows designed to simplify the development and deployment of GenAI applications.
The blueprints are designed to provide enterprise developers with a comprehensive toolkit for building AI solutions for a variety of use cases, including customer service, drug discovery in healthcare, and search augmentation generation (RAG).
Companies can build data-driven AI systems using Nvidia's AI enterprise platform, which includes NIM microservices and the Nvidia NeMo framework.
Nvidia unveils blueprint for GenAI applications
Among its initial offerings is a digital human blueprint for customer service, which uses 3D animated avatars to create engaging, lifelike customer interactions that the company says will enable businesses to provide more personalized and efficient support to their customers.
The announcement cited Gartner research that predicts that 80% of conversational services will incorporate GenAI, up from 20% in 2024.
Another key component is the generative virtual screening blueprint for drug discovery, which accelerates the identification of promising drug-like molecules. The blueprint uses AI models such as AlphaFold2, known for its effectiveness in predicting protein structures, MolMIM, an Nvidia model that generates molecules, and DiffDock, known for its ability to bind small molecules to protein targets.
The third element, the Multi-Mode PDF Data Extraction Blueprint, provides access to vast amounts of enterprise data, enabling organizations to build accurate RAG systems.
As part of the announcement, Nvidia confirmed it has partnered with firms including Accenture, Deloitte, Dell and HPE to offer these blueprints to enterprises using its AI-enabled cloud platform and on-premise servers backed by Nvidia's infrastructure.
Nvidia CEO Jensen Huang commented: “Generative AI is advancing at the speed of light… the wave of enterprise AI is upon us.”