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Today, Nvidia announced the release of NIM Agent Blueprints, a catalog of AI workflows and software resources designed to accelerate the development and deployment of generative AI agents and applications.
Available for free download, the blueprints address standard use cases such as customer service avatars, drug discovery, and data extraction from documents.
Developers can work with these using datasets and get started quickly, deploying agents tailored to their business functions, and Nvidia plans to add resources for even more applications soon.
The move by the Jensen Huang-led company comes as businesses across sectors remain bullish on the prospects of generative AI and how it can boost productivity and save time and costs. Nvidia is also working with multiple technology solution providers and global system integrators to ensure seamless access and deployment of its blueprints.
According to McKinsey, enterprise adoption of generative AI could create between $2.6 trillion and $4.4 trillion in value annually across more than 60 use cases.
What does the NIM Agent Blueprint bring to the table?
Enterprises have been leveraging generative AI for tasks like content generation and summarization for some time, but many teams want to go beyond standard use cases with applications that use one or more AI agents backed by their own data. Customized agents are being hailed as the second wave of AI generation (with huge growth potential), but building and deploying them remains a complex, multi-step process.
Most organizations continue to struggle with this issue, leading to delays and wasted funds.
With the new NIM Agent Blueprint, Nvidia is giving teams everything they need to speed up these workflows, including sample applications built with Nvidia NIM, NeMo, and partner microservices, reference code, customization documentation, and Helm charts for deployment (a combination of YAML files and templates to define the required configuration).
With pre-trained AI workflows in Blueprints, developers can easily kick-start complex development processes and deploy agent applications across accelerated datacenters and clouds. The ability to modify Blueprints with your own data allows developers to take advantage of both information discovery and agent-based workflows that can perform complex tasks.
Additionally, as users interact with these applications, the Blueprints become more powerful, creating a continuous learning cycle that improves performance over time.
3 blueprints available, with more added every month
Currently, Nvidia is providing companies with three key blueprints: digital humans for customer service, generative virtual screening for accelerating drug discovery, and multimodal PDF data extraction for enterprise RAG.
The blueprint for customer service enables companies to build 3D avatar-based customer service agents using Nvidia ACE, Omniverse RTX, Audio2Face and Llama 3.1 NIM microservices, while the product for drug discovery and data extraction incorporates Nvidia NeMo Retriever, NIM microservices (including AlphaFold2, MolMIM and DiffDock) and Nvidia BioNemo.
“Additional NIM agent blueprints are in development for creating generative AI applications for customer service, content generation, software engineering, retail shopping advisors and R&D. Nvidia plans to introduce new NIM agent blueprints every month,” Justin Boitano, who leads Nvidia's enterprise data center business, wrote in a blog post.
Notably, for each of these blueprints, Nvidia is also simplifying access and deployment.
In terms of access, the company has partnered with several technology solution providers, including Deloitte, Accenture, SoftSeve, and World Wide Technology (WWT), who will add the blueprint to their respective portfolios, making it easily available to enterprise customers.
“By integrating NVIDIA's workflow catalog into Accenture's AI Refinery, we can help our clients rapidly develop custom AI systems to rethink how they do business and serve their customers to drive stronger business outcomes and create new value,” said Julie Sweet, chairman and CEO, Accenture.
But for businesses that want to deploy their own custom blueprints in their own data centers or clouds, Nvidia offers full-stack accelerated infrastructure support from global partners, including Nvidia-certified systems from Cisco, Dell Technologies, Hewlett Packard Enterprise and Lenovo, as well as Nvidia-accelerated cloud instances on Amazon Web Services, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure.
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