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NVIDIA introduces NIM Blueprints, giving companies the ability to create their own AI experiences

NVIDIA introduces NIM Blueprints, giving companies the ability to create their own AI experiences

Today, NVIDIA offers the opportunity to bring unique AI experiences to the enterprise market with its NIM Blueprints.

NVIDIA NIM Blueprints will increase the production of unique AI experiences in the enterprise segment

Press release: NVIDIA today announced NVIDIA NIM Blueprints, a catalog of pre-trained, customizable AI workflows that provides millions of enterprise developers with a complete software suite for building and deploying generative AI applications for canonical use cases such as avatars for customer service, retrieval-augmented generation, and virtual screening in drug discovery.

Generative AI is evolving at the speed of light. The capabilities of frontier models are growing exponentially with a continuous stream of new applications,” said Jensen Huang, founder and CEO of NVIDIA. “The enterprise AI wave is here. With the NVIDIA AI Enterprise toolkit – including NeMo, NIM microservices, and the latest NIM Agent Blueprints – our extensive partner ecosystem is ready to help enterprises adapt open source models, build customized AI applications, and deploy them seamlessly in any cloud, on-premises, or at the edge.

Jensen Huang – CEO of NVIDIA

NIM Blueprints provide a quick start for developers building AI applications that use one or more AI agents. They include sample applications built with NVIDIA NeMo, NVIDIA NIM, and partner microservices, reference code, customization documentation, and a Helm chart for deployment. Organizations can modify NIM Blueprints using their business data and run their generative AI applications in accelerated data centers and clouds. NIM Blueprints enable organizations to continuously refine their AI applications based on user feedback, creating a data-driven AI flywheel.

The first NIM Blueprints, now available, include a digital human workflow for customer service, a generative virtual screening workflow for computer-aided drug discovery, and a multimodal PDF data extraction workflow for enterprise retrieval-augmented generation (RAG) that can leverage large amounts of business data for more precise answers. NIM Blueprints are free for developers to try and download, and can be deployed in production with the NVIDIA AI Enterprise software platform.

Global systems integrators and technology solution providers Accenture, Deloitte, SoftServe and World Wide Technology (WWT) bring NVIDIA NIM Blueprints to enterprises worldwide. Cisco, Dell Technologies, Hewlett Packard Enterprise and Lenovo provide full-stack NVIDIA accelerated infrastructure and solutions to accelerate NIM Blueprints deployment.

Digital Human NIM Blueprint improves customer service

Gartner reports that 80% of conversational experiences will embed generative AI by 2025, up from 20% in 2024(1). The digital human NIM Blueprint for Customer Service helps organizations quickly prepare for this coming shift by bringing enterprise applications to life with a 3D animated avatar interface.

With accessible, human-like interactions, customer service applications can deliver more engaging user experiences compared to traditional customer service options. The digital human workflow is built on NVIDIA Tokkio technologies and features NVIDIA software including NVIDIA ACE, NVIDIA Omniverse RTX, NVIDIA Audio2Face, and Llama 3.1 NIM microservices, and is designed to integrate with existing generative AI enterprise applications built with RAG.

Multimodal PDF data extraction NIM Blueprint unlocks vast amounts of business data

The Enterprise RAG Multimodal PDF Data Extraction Workflow uses NVIDIA NeMo Retriever NIM microservices to extract insights from massive amounts of enterprise PDF data. This workflow enables developers to create digital humans, AI agents, or customer service chatbots that can quickly become experts on any topic captured in their PDF data corpus.

Using the workflow, organizations can combine NeMo Retriever NIM microservices with community or custom models to create highly accurate, multimodal retrieval pipelines that can be deployed anywhere enterprise data resides.

Generative virtual screening NIM Blueprint accelerates drug discovery

The generative virtual screening NIM blueprint for drug discovery accelerates the identification and optimization of promising drug-like molecules and significantly reduces time and cost by generating molecules with favorable properties and higher probabilities of success.

Researchers and application developers can quickly customize and deploy AI models for 3D protein structure prediction, small molecule generation, property prediction, and molecular docking. This blueprint includes NVIDIA BioNeMo NIM microservices—including AlphaFold2, MolMIM, and DiffDock—to accelerate virtual screening of small molecules using generative models.

Additional NIM Blueprints are released monthly for workflows to build generative AI applications for customer experience, content generation, software development, and product research and development. Organizations can connect multiple NIM Blueprints to build increasingly sophisticated and specialized generative AI applications.

NVIDIA partner ecosystem drives enterprise AI success

NVIDIA partners are ready to help companies worldwide quickly develop and deploy their own generative AI applications using NIM Blueprints. Global consulting firm Accenture will include NVIDIA NIM Blueprints in its Accenture AI Refinery, which was unveiled last month.

Visit build.nvidia.com to explore NVIDIA NIM Blueprints.

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