NVIDIA Unveils AI Agent Blueprints to Streamline Enterprise AI App Development

Nvidia's new release wants to make building AI enterprise apps easier than ever

Nvidia has unveiled Nvidia NIM Agent Blueprints, which it describes as an enterprise-destined catalog of pre-trained, customizable AI workflows designed to simplify the development and deployment of GenAI applications. The blueprints are designed to provide a comprehensive toolkit for enterprise developers to build AI solutions for various use cases, including customer service, drug discovery in healthcare and retrieval-augmented generation (RAG). Enterprises can use Nvidia's AI Enterprise Platform, which includes NIM microservices and the Nvidia NeMo framework, to build data-driven AI systems. Among the initial offerings is the digital human blueprint for customer service, which uses 3D-animated avatars to provide engaging and lifelike customer interactions. The company says this will allow enterprises to offer more personalized and efficient support to customers. The announcement cites Gartner research predicting that 80% of conversational offerings will embed GenAI by 2025, 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. It uses AI models like AlphaFold2, known for its impact on protein structure pediction, MolMIM, a Nvidia model that generates molecules, and DiffDock, known for its ability to bind small molecules to their protein targets. A third element, the multimodil PDF data extraction blueprint, accesses vast amounts of enterprise data to allow organizations to build accurate RAG systems. As part of the announcement, Nvidia confirmed it is partnering with companies including Accenture, Deloitte, Dell and HPE in order to deliver these blueprints to enterprises using AI-ready cloud platforms and on-premises servers backed by Nvidia's infrastructure. Nvidia CEO Jensen Huang commented: "Generative AI is advancing at lightspeed... The enterprise AI wave is here."

NVIDIA Introduces NIM Blueprints, Gives Enterprise The Ability To Create Their Own AI Experiences

NVIDIA today brings the ability to create unique AI experiences to the enterprise market with its NIM Blueprints. Press Release: NVIDIA today announced NVIDIA NIM Blueprints, a catalog of pre-trained, customizable AI workflows that equip millions of enterprise developers with a full suite of software for building and deploying generative AI applications for canonical use cases, such as customer service avatars, retrieval-augmented generation, and drug discovery virtual screening. Generative AI is advancing at lightspeed. Frontier model capabilities 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 expansive partner ecosystem is poised to help enterprises customize open-source models, build bespoke AI applications and deploy them seamlessly across any cloud, on premises or at the edge. Jensen Huang - NVIDIA CEO NIM Blueprints provide a jump-start for developers creating AI applications that use one or more AI agents. They include sample applications built with NVIDIA NeMo, NVIDIA NIM, and partner microservices, reference codes, customization documentation, and a Helm chart for deployment. Enterprises can modify NIM Blueprints using their business data and run their generative AI applications across accelerated data centers and clouds. With NIM Blueprints, enterprises can continually 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 use vast quantities of business data for more accurate responses. NIM Blueprints are free for developers to experience and download and can be deployed in production with the NVIDIA AI Enterprise software platform. Global system integrators and technology solutions providers Accenture, Deloitte, SoftServe, and World Wide Technology (WWT) are bringing NVIDIA NIM Blueprints to enterprises worldwide. Cisco, Dell Technologies, Hewlett Packard Enterprise, and Lenovo are offering full-stack NVIDIA accelerated infrastructure and solutions to speed NIM Blueprints deployments. Digital Human NIM Blueprint Advances Customer Service Gartner reports that 80% of conversational offerings will embed generative AI by 2025, up from 20% in 2024(1). The digital human NIM Blueprint for customer service helps enterprises rapidly prepare for this coming shift, bringing enterprise applications to life with a 3D animated avatar interface. With approachable, humanlike interactions, customer service applications can provide more engaging user experiences compared to traditional customer service options. Powered by NVIDIA Tokkio technologies, the digital human workflow features NVIDIA software including NVIDIA ACE, NVIDIA Omniverse RTX, NVIDIA Audio2Face, and Llama 3.1 NIM microservices, and is designed to integrate with existing enterprise generative AI applications built using RAG. Multimodal PDF Data Extraction NIM Blueprint Taps Troves of Business Data The multimodal PDF data extraction workflow for enterprise RAG uses NVIDIA NeMo Retriever NIM microservices to unlock insights from massive volumes of enterprise PDF data. With this workflow, developers can create digital humans, AI agents, or customer service chatbots that can quickly become experts on any topic captured within their corpus of PDF data. Using the workflow, enterprises can combine NeMo Retriever NIM microservices with community or custom models to build high-accuracy, multimodal retrieval pipelines that can be deployed wherever 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, significantly reducing 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 incorporates NVIDIA BioNeMo NIM microservices -- including AlphaFold2, MolMIM, and DiffDock -- to accelerate the virtual screening of small molecules using generative models. Additional NIM Blueprints will be released monthly for workflows to build generative AI applications for customer experience, content generation, software engineering, as well as product research and development. Enterprises can connect multiple NIM Blueprints to build increasingly sophisticated and specialized generative AI applications. NVIDIA Partner Ecosystem Amplifies Enterprise-Generative AI Success NVIDIA partners are readying to help the world's enterprises rapidly build and deploy their own generative AI applications using NIM Blueprints. Global professional services company Accenture will add NVIDIA NIM Blueprints to its Accenture AI Refinery, unveiled last month.

Nvidia launches AI agent blueprints to allow enterprises to build their own AI apps - SiliconANGLE

Nvidia launches AI agent blueprints to allow enterprises to build their own AI apps The race to build good artificial intelligence apps is a long one and getting off the starting block from zero can be difficult without some kind of an advantage. To provide customers that advantage, Nvidia Corp. announced NIM Agent Blueprints today that it says include everything an enterprise developer needs to build and deploy generative AI applications from start to finish. Nvidia NIM microservices provide developers efficient access to AI models for generative AI workflows such as digital human customer service chatbots, retrieval augmented generation and drug discovery. The creation of production-ready apps using AI models is a complicated process requiring multiple tools and expert workers. Making that process more accessible by providing directed templates for well-known business use cases can speed up the creation of these apps, the company said. "The enterprise AI wave is here," said Jensen Huang, founder and chief executive of Nvidia. "With the Nvidia AI Enterprise toolkit - including NeMo, NIM microservices and the latest NIM Agent Blueprints - our expansive partner ecosystem is poised to help enterprises customize open-source models, build bespoke AI applications and deploy them seamlessly across any cloud, on-premises or at the edge." Gartner reported that AI is well on its way to adoption across the enterprise with 80% of conversational offerings planning to embed generative AI by 2025, a percentage up from 20% in 2024. NIM Agent Blueprints will launch with three AI workflows for developers to get running with immediately based on some of the the most common industry business use cases. The first is a digital human NIM Agent Blueprint for customer service applications that will help enterprise users build chatbots that can interactively work with customers and customer service operators in text and voice. It can also tailor experiences with 3D animated avatar interfaces. A new multimodal PDF extraction workflow agent for the enterprise would allow developers to quickly build an app capable of reading through massive volumes of documents to feed and unlock insights. With this workflow, Nvidia said, AI agents and customer service chatbots will quickly become experts on the company topics contained within PDF documents by using retrieval-augmented generation, a way to raise accuracy of generative AI apps and reduce errors by including real-time data. Finally, Nvidia included a generative virtual screening NIM Agent Blueprint for drug discovery aimed at helping pharmaceutical companies accelerate the time to optimize potential drug-like molecules when working with human experts. This would help significantly reduce the costs of generating life-saving drugs by increasing the probability of success by screening out molecules that would not work in lab conditions. Although current machine-learning techniques work well in screening drugs, they use physics-based pattern matching alongside human intuition that finally goes to lab to finalize the protein prediction. Researchers and application developers can use the expert knowledge of real-world research and activity to refine AI models to get better predictions and thus save time. The blueprint incorporates well-known protein predictors such as AlphaFold2, MolMM and DiffDock. Nvidia said additional blueprints will be released monthly for other industries to incorporate other business use applications, including customer service, content generation, software engineering and product research and development. Nvidia is partnering with several large enterprises businesses to incorporate and distribute the new NIM Agent Blueprints. Professional services firm Accenture, networking technology firm Cisco Systems Inc., Dell Technologies Inc., consulting firm Deloitte Ltd., Hewlett Packard Enterprise Co., Lenovo, IT consulting firm SoftServe Inc. and global systems integrator World Wide Technology Inc. are among the first partners to join. "Across industries, generative AI is acting as a catalyst for companies looking to reinvent with tech, data and AI," said Julie Sweet, chair and chief executive of Accenture. "By integrating Nvidia's catalog of workflows into Accenture's AI Refinery, we can help our clients develop custom AI systems at speed and reimagine how they do business and serve their customers to drive stronger business outcomes and create new value."