In an effort to drive gen-AI adoption in the business sector, NVIDIA, and its partners are streamlining that process through the new NIM Agent Blueprints catalog.
Hosting a range of pre-trained, customizable AI workflows alongside comprehensive software tools, they are aimed to help enterprise developers get into the building and deploying of gen-AI applications, especially in selected use cases that NVIDIA is already familiar with such as virtual avatars for customer service, RAG technology involving multi-modal PDF data extraction, and virtual screening for drug discovery as these 3 are ready for developers to grab for free and be deployed in production using NVIDIA AI Enterprise software platform.
Specifically, NIM Agent Blueprints thrives in situations where developers are tasked to create AI applications that incorporate one or more AI agents since the catalog comes with samples built using NVIDIA NeMo, NIM, and partner microservices in addition to reference code, customization documentation, and a Helm chart for Kubernetes deployment.
With it, enterprises can tune and personalize AI agents made from NIM Agent Blueprints to their specific needs using their own business data, resulting in a highly specific and unique assistant that can deployed across accelerated data centers and clouds. They are also capable of receiving user feedback that loops back to its self-automated learning algorithm.
According to Gartner, 80% of conversational offerings will incorporate generative AI by 2025, up from 20% in 2024. The digital human NIM Agent Blueprint for customer service helps enterprises swiftly adapt to this trend by introducing a 3D animated avatar interface to enhance user interactions.
By offering more humanlike and engaging interactions, customer service applications built with this blueprint can deliver 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.
On the other hand, the multimodal PDF data extraction workflow for enterprise RAG employs NVIDIA NeMo Retriever NIM microservices to extract valuable insights from large volumes of enterprise PDF data. With this workflow, developers can create digital humans, AI agents, or customer service chatbots that quickly become experts on any topic contained within their PDF data corpus.
Global system integrators and technology providers such as Accenture, Deloitte, SoftServe, and World Wide Technology (WWT) are bringing NVIDIA NIM Agent Blueprints to enterprises worldwide. Cisco, Dell Technologies, Hewlett Packard Enterprise, and Lenovo are offering full-stack NVIDIA-accelerated infrastructure and solutions to expedite NIM Agent Blueprints deployments. More details about how they are doing it with their own approach can be found here.
