Nvidia has announced the launch of NIM Agent Blueprints, a collection of AI workflows and software resources designed to accelerate the development and deployment of generative AI-powered agents and applications. These blueprints cover various use cases such as customer service avatars, drug discovery, and data extraction from documents. By providing these blueprints as a free download, Nvidia aims to help developers quickly get started and deploy agents tailored to their specific business needs.
The demand for generative AI is growing as enterprises recognize its potential to boost productivity and save time and money. McKinsey estimates that the deployment of generative AI could yield $2.6 trillion to $4.4 trillion annually across more than 60 use cases. However, many organizations struggle with the complexity of building and deploying customized AI agents, leading to delays and increased costs.
Nvidia’s NIM Agent Blueprints address this challenge by providing developers with everything they need to accelerate the development process. The blueprints include sample applications built with Nvidia NIM, NeMo, and partner microservices, reference code, customization documentation, and a Helm chart for deployment. With these pre-trained AI workflows, developers can jumpstart their development process and deploy agentic applications across data centers and clouds.
Furthermore, the blueprints can be easily modified using proprietary data, allowing developers to tap into both information retrieval and agent-based workflows capable of performing complex tasks. As users interact with these applications, the blueprints can also be enhanced, creating a continuous learning cycle that improves performance over time.
Currently, Nvidia offers three major blueprints: digital human for customer service, generative virtual screening for accelerated drug discovery, and multimodal PDF data extraction for enterprise RAG. However, the company plans to introduce new blueprints every month, covering a range of applications such as customer service, content generation, software engineering, retail shopping advisors, and R&D.
To simplify access and deployment, Nvidia has partnered with technology solution providers like Deloitte, Accenture, SoftSeve, and World Wide Technology (WWT). These providers will add the blueprints to their portfolios, making them easily available to enterprise customers. For enterprises looking to deploy custom blueprints in their own data centers or clouds, Nvidia provides full-stack accelerated infrastructure support through its global partners, including Cisco, Dell Technologies, Hewlett Packard Enterprise, and Lenovo, as well as cloud instances from Amazon Web Services, Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure.
In conclusion, Nvidia’s NIM Agent Blueprints offer a valuable resource for enterprises looking to harness the power of generative AI. By providing pre-trained AI workflows, sample applications, and deployment tools, Nvidia enables developers to accelerate the development process and deploy customized AI agents tailored to their specific business needs. With the potential to save time and money while improving productivity, generative AI is becoming an essential tool for enterprises across various sectors.