NVIDIA has introduced NVIDIA NIM™ Agent Blueprints, a comprehensive catalog of pretrained, customizable AI workflows aimed at empowering enterprise developers to rapidly build and deploy generative AI applications. These blueprints are tailored for canonical use cases, including customer service avatars, retrieval-augmented generation, and drug discovery virtual screening.

NVIDIA NIM Agent Blueprints offer a significant leap for developers, providing a ready-to-use toolkit that includes sample applications built with NVIDIA NeMo™, NVIDIA NIM, and partner microservices. The blueprints come with reference code, customization documentation, and deployment tools, enabling enterprises to modify and enhance AI applications using their own business data. This flexibility allows for continuous improvement and adaptation of AI models based on real-world user feedback.

“The enterprise AI wave is here,” said Jensen Huang, founder and CEO 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.”

The initial release of NIM Agent Blueprints includes three key workflows:

1. Digital Human Workflow for Customer Service: Leveraging NVIDIA’s Tokkio technologies, this blueprint offers a 3D animated avatar interface designed to enhance customer interactions. Gartner® predicts that by 2025, 80% of conversational offerings will embed generative AI, marking a significant increase from 20% in 2024. This blueprint positions enterprises to meet this growing demand.
2. Multimodal PDF Data Extraction Workflow: This blueprint facilitates enterprise retrieval-augmented generation (RAG) by unlocking insights from massive volumes of PDF data. It allows for the development of AI agents capable of delivering high-accuracy responses based on extensive business data.
3. Generative Virtual Screening for Drug Discovery: Aimed at accelerating the drug discovery process, this blueprint enables researchers to quickly identify and optimize drug-like molecules. By incorporating tools like AlphaFold2 and DiffDock, the blueprint significantly reduces the time and cost associated with drug development.

Broadening AI Accessibility with Industry Collaboration

NVIDIA’s announcement has garnered support from a wide range of global system integrators and technology providers, including Accenture, Deloitte, SoftServe, and World Wide Technology (WWT). These partners are integrating NVIDIA NIM Agent Blueprints into their services, offering enterprises an accelerated path to AI adoption.

Julie Sweet, chair and CEO of Accenture, emphasized the impact of generative AI on business transformation, stating, “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.”

Similarly, major technology firms such as Cisco, Dell Technologies, Hewlett Packard Enterprise, and Lenovo are enhancing their AI infrastructure offerings by incorporating NVIDIA NIM Agent Blueprints. This collaboration ensures that enterprises have access to the necessary resources to deploy AI solutions efficiently and at scale.

Expanding the Blueprint Catalog

NVIDIA plans to release additional blueprints monthly, further expanding the catalog to include workflows for customer experience, content generation, software engineering, and product research and development.