NVIDIA releases NIM agent blueprint, aiming to accelerate the development of generative AI agents and applications. This set of free software resources and workflows provides pre-built applications, reference code and deployment tools to help enterprises quickly customize AI agents that meet their own needs. The blueprint covers multiple application scenarios, such as customer service, drug discovery, and document processing, significantly reducing the complexity and cost of building and deploying custom AI agents for enterprises, thus accelerating the implementation of enterprise generative AI.
NVIDIA announced the launch of the NIM Agent Blueprint, a catalog of workflows and software resources designed to accelerate the generation of AI agents and application development. Enterprise users can now download these blueprints for free and easily get started, allowing them to quickly customize an agent that suits their business needs.
These blueprints address classic application scenarios such as customer service avatars, generative virtual screening for drug discovery, and multimodal PDF processing for extracting data from documents. Developers can use their own data sets to quickly build and deploy these agents, and NVIDIA also plans to add new application resources every month in the future.
In the current era where companies are optimistic about generative AI, Nvidia's move is particularly important. According to research by McKinsey, enterprise deployment of generative AI may bring a value of US$2.6 trillion to US$4.4 trillion per year, covering more than 60 application scenarios.
So, what exactly can the NIM Agent Blueprint bring to enterprises? While many enterprises are already using generative AI for tasks such as content generation and summarization, many teams hope to go beyond these standard applications and build with multiple AI agents and their own data. More complex applications. Although custom agents are considered the "second wave" of generative AI, the process of building and deploying them remains quite complex, and many organizations face difficulties in this regard, resulting in slow progress and increased costs.
With the NIM Agent Blueprint, NVIDIA provides teams with everything they need to accelerate their workflows, including sample applications built using NIM, NeMo, and partner microservices, reference code, custom documentation, and Helm diagrams for deployment. With pre-trained AI workflows in Blueprints, developers can easily start complex development processes and deploy their applications in accelerated data centers and cloud environments. As users interact with these applications, blueprints can be continuously refined, forming a continuous learning cycle that improves application performance.
Currently, NVIDIA provides three main blueprints, namely digital humans for customer service, generative virtual screening to accelerate drug discovery, and multi-modal PDF data extraction for enterprise documents. The customer service blueprint allows enterprises to build 3D virtual customer service agents using NVIDIA's ACE, Omniverse RTX, Audio2Face and Llama3.1NIM microservices. The drug discovery and data extraction blueprint combines Nvidia NeMo Retriever and NIM microservices including AlphaFold2, MolMIM and DiffDock.
NVIDIA is also working with several technology solutions providers, such as Deloitte, Accenture and World Power Technologies, to help enterprises more easily acquire and deploy these blueprints. In addition, for enterprises that want to independently deploy blueprints, NVIDIA provides support for full-stack accelerated infrastructure, including Nvidia certified systems from Cisco, Dell, HP and Lenovo, as well as cloud infrastructure from Amazon AWS, Google Cloud, Microsoft Azure and Oracle of accelerated cloud instances.
Official blog: https://blogs.nvidia.com/blog/nim-agent-blueprints/
Highlight:
NVIDIA launches NIM agent blueprint to provide resources for quickly building and generating AI applications.
?Three main blueprints involve customer service, drug discovery, and document data extraction.
? NVIDIA partners with multiple technology solution providers to simplify the process for enterprises to access and deploy blueprints.
All in all, NVIDIA's NIM agent blueprint lowers the threshold for generative AI application development, provides powerful tools and resources for enterprises to quickly build and deploy AI solutions, accelerates the digital transformation process of enterprises, and indicates that generative AI will be used in more The booming development of industry applications.