The first wave of generative AI was driven by its use in internet services, which offered incredible new possibilities with tools that could help people write, research, and imagine faster than ever before.

The second wave of generative AI is now here, driven by the availability of advanced open-source foundational models as well as advances in agent-based AI that improve the efficiency and autonomy of AI workflows. Companies across all industries can use models such as Google Gemma, Llama 3.1 405B, Microsoft Phi, Mixtral and Nemotron to develop their own AI applications that support business growth and increase productivity.

To accelerate business transformation, organizations need blueprints for canonical generative AI workflows such as digital human customer service chatbots, retrieval-augmented generation, and drug discovery. While NVIDIA NIM microservices help make these models efficient and accessible for enterprise use, developing generative AI enterprise applications is a complex, multi-step process.

NVIDIA NIM Agent Blueprints, launched today, contain everything an enterprise developer needs to build and deploy custom generative AI applications that have a transformative impact on business goals.

Blueprints for data-driven business flywheels

NIM Agent Blueprints are reference AI workflows tailored to specific use cases. They include sample applications built with NVIDIA NIM and partner microservices, reference code, customization documentation, and a Helm chart for deployment.

NIM Agent Blueprints enable developers to get a head start on building their own applications by leveraging NVIDIA’s advanced AI tools and end-to-end development experience for any use case. The blueprints are designed to be modified and extended, allowing developers to leverage both information query and agent-based workflows that can perform complex tasks.

NIM Agent Blueprints also help developers improve their applications throughout the AI ​​lifecycle. As users interact with AI applications, new data is generated. This data can be used to refine and improve the models in a continuous learning cycle, creating a data-driven generative AI flywheel.

NIM Agent Blueprints help companies build their own generative AI flywheels with applications that connect models to their data. NVIDIA NeMo facilitates this process, while NVIDIA AI Foundry serves as a production environment for running the flywheel.

The first available NIM Agent Blueprints are:

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

ServiceNow is a leading enterprise AI provider that has integrated advanced generative AI capabilities into its digital workflow platform. The company is already integrating NIM microservices into its Now Assist AI solutions and is working with the NIM Blueprint technologies for the digital human in customer service.

“AI is not just a tool, it is the foundation for a fundamental shift in how organizations can better equip their employees and better serve their customers,” said Jon Sigler, senior vice president of platform and AI at ServiceNow. “Through our collaboration with NVIDIA, we have developed new generative AI products and capabilities that are driving growth and accelerating AI transformation for ServiceNow customers.”

Additional NIM Agent Blueprints are in development to create generative AI applications for customer service, content generation, software development, retail shopping assistants, and R&D. NVIDIA plans to introduce new NIM Agent Blueprints every month.

NVIDIA ecosystem accelerates enterprise adoption

NVIDIA’s partner ecosystem – including global systems integrator and service delivery partners Accenture, Deloitte, SoftServe, Quantiphi and World Wide Technology – brings NIM Agent Blueprints to enterprises worldwide.

NIM Agent Blueprints can be optimized using customer interaction data and tools from NVIDIA’s partner ecosystem, including Dataiku and DataRobot for model tuning, governance, and monitoring, Deepset, LlamaIndex, and Langchain for creating workflows, Weights and Biases for evaluating generative AI applications, and CrowdStrike, Datadog, Fiddler AI, New Relic, and Trend Micro for additional assurance. Infrastructure platform providers such as Nutanix, Red Hat, and Broadcom support NIM Agent Blueprints on their enterprise solutions.

Customers can create 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 help organizations leverage their data in generative AI applications, NIM Agent Blueprints can be integrated with data and storage platforms from NVIDIA partners such as Cohesity, Datastax, Dropbox, NetApp and VAST Data.

A collaborative future for developers and data scientists

Generative AI now encourages 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 continuously improve their custom NIM microservices. As a NIM improves, its associated applications also improve, creating a cycle of continuous improvement and data generation.

With NIM Agent Blueprints – and the support of NVIDIA’s partners – virtually any organization can seamlessly integrate generative AI into their applications to drive efficiency and innovation across industries.

Organizations can try NVIDIA NIM Agent Blueprints today.

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