The initial wave of generative AI revolutionized internet services, demonstrating unprecedented capabilities in writing, research, and creativity. Now, a second wave is emerging, driven by advanced open-source foundation models and agentic AI advancements, which enhance the efficiency and autonomy of AI workflows, according to the NVIDIA Blog.

Blueprints for Data-Driven Enterprise Flywheels

NVIDIA has introduced NIM Agent Blueprints, a comprehensive toolkit for enterprise developers to build and deploy customized generative AI applications. These blueprints are designed to accelerate business transformation by providing reference AI workflows tailored for specific use cases, including digital human customer service chatbots, retrieval-augmented generation, and drug discovery.

Each blueprint includes sample applications built with NVIDIA NIM and partner microservices, reference code, customization documentation, and a Helm chart for deployment. This allows developers to leverage NVIDIA’s advanced AI tools and end-to-end development experience, facilitating the creation of sophisticated applications capable of performing complex tasks.

As AI applications interact with users, they generate new data that can be used to refine and enhance the models in a continuous learning cycle, creating a data-driven generative AI flywheel. NVIDIA NeMo and NVIDIA AI Foundry play crucial roles in this process, providing the necessary infrastructure for running these AI workflows.

The first NIM Agent Blueprints available include:

• Digital human for customer service
• Generative virtual screening for accelerated drug discovery
• Multimodal PDF data extraction for enterprise RAG

ServiceNow, a leader in enterprise AI, has already integrated advanced generative AI capabilities into its digital workflow platform using NIM microservices. Jon Sigler, Senior Vice President of Platform and AI at ServiceNow, emphasized the transformative impact of AI, stating, “AI is not just a tool, it’s the foundation of a fundamental shift in how companies can better equip employees and serve customers.”

NVIDIA Ecosystem Supercharges Enterprise Adoption

NVIDIA’s partner ecosystem, including global systems integrators and service delivery partners such as Accenture, Deloitte, SoftServe, Quantiphi, and World Wide Technology, is instrumental in bringing NIM Agent Blueprints to enterprises worldwide. These blueprints can be optimized using customer interaction data with tools from NVIDIA’s ecosystem of partners, such as Dataiku, DataRobot, deepset, LlamaIndex, Langchain, Weights and Biases, and others.

Infrastructure platform providers like Nutanix, Red Hat, and Broadcom support NIM Agent Blueprints on their enterprise solutions. Additionally, enterprises can build and deploy NIM Agent Blueprints on NVIDIA-Certified Systems from manufacturers such as Cisco, Dell Technologies, Hewlett Packard Enterprise, and Lenovo, as well as on NVIDIA-accelerated cloud instances from Amazon Web Services, Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure.

To maximize the potential of generative AI applications, NIM Agent Blueprints can integrate with data and storage platforms from NVIDIA partners like Cohesity, Datastax, Dropbox, NetApp, and VAST Data.

A Collaborative Future for Developers and Data Scientists

Generative AI is fostering collaboration between developers and data scientists. Developers use NIM Agent Blueprints as a foundation to build their applications, while data scientists implement the data flywheel to continually improve their custom NIM microservices. This collaborative approach ensures continuous enhancement and data generation, driving efficiency and innovation across industries.

With NIM Agent Blueprints and support from NVIDIA’s partners, enterprises can seamlessly integrate generative AI into their applications, transforming business operations and achieving new levels of productivity.

Enterprises can experience NVIDIA NIM Agent Blueprints today.

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