NVIDIA NIM Agent Blueprints provide enterprises significant jumpstart in deploying gen-AI based virtual agents

To accelerate the adoption of generative AI in the business sector, NVIDIA and its partners are simplifying the process with the introduction of the new NIM Agent Blueprints catalog.

This catalog hosts a variety of pre-trained, customizable AI workflows along with comprehensive software tools, designed to assist enterprise developers in building and deploying generative AI applications. These tools are particularly focused on use cases where NVIDIA has significant expertise, such as virtual avatars for customer service, multimodal PDF data extraction in RAG technology, and virtual screening for drug discovery. These three use cases are ready for developers to access for free and deploy in production using the NVIDIA AI Enterprise software platform.

NIM Agent Blueprints are especially effective when developers need to create AI applications involving one or more AI agents. The catalog includes samples built with NVIDIA NeMo, NIM, and partner microservices, along with reference code, customization documentation, and a Helm chart for Kubernetes deployment.

Enterprises can tailor AI agents created from NIM Agent Blueprints to meet their specific requirements using their own business data, resulting in a highly customized assistant that can be deployed across accelerated data centers and clouds. These agents are also capable of receiving user feedback, which feeds into a self-automated learning algorithm.

Gartner predicts that by 2025, 80% of conversational offerings will include generative AI, up from 20% in 2024. The digital human NIM Agent Blueprint for customer service enables enterprises to quickly adapt to this trend by introducing a 3D animated avatar interface, enhancing user interactions.

These customer service applications, built with this blueprint, offer more humanlike and engaging interactions, providing superior user experiences compared to traditional options. Powered by NVIDIA Tokkio technologies, the digital human workflow integrates NVIDIA ACE, NVIDIA Omniverse RTX, NVIDIA Audio2Face, and Llama 3.1 NIM microservices, and is compatible with existing enterprise generative AI applications built on RAG.

Meanwhile, the multimodal PDF data extraction workflow for enterprise RAG uses NVIDIA NeMo Retriever NIM microservices to extract valuable insights from large volumes of enterprise PDF data. This workflow enables developers to create digital humans, AI agents, or customer service chatbots that quickly become experts on any topic within their PDF data corpus.

Global system integrators and technology providers like Accenture, Deloitte, SoftServe, and World Wide Technology (WWT) are bringing NVIDIA NIM Agent Blueprints to enterprises worldwide. Additionally, Cisco, Dell Technologies, Hewlett Packard Enterprise, and Lenovo are offering full-stack NVIDIA-accelerated infrastructure and solutions to speed up NIM Agent Blueprints deployments.

More information on their approaches can be found here.