NVIDIA has launched Agentic AI Blueprints to automate work for every enterprise, enabling developers to build and deploy custom AI agents that can reason, plan, and take action. These AI agents act like knowledge robots that can quickly analyze large quantities of data and provide real-time insights.
NVIDIA has partnered with leading providers such as CrewAI, Daily, LangChain, LlamaIndex, and Weights & Biases to build blueprints that integrate the NVIDIA AI Enterprise software platform, including NVIDIA NIM microservices and NVIDIA NeMo.
Accenture is also working with NVIDIA to introduce AI Refinery for Industry, a solution that helps enterprises rapidly launch agentic AI across various fields. According to Jensen Huang, NVIDIA’s founder and CEO, enterprise AI agents will become a centerpiece of AI factories that generate tokens to create unprecedented intelligence and productivity across industries. This new technology can potentially transform every industry, from automotive to consumer goods.
Introduction to Agentic AI Blueprints
The recent launch of NVIDIA‘s Agentic AI Blueprints marks a significant development in artificial intelligence, enabling developers to build and deploy custom AI agents that can reason, plan, and take action. These AI agents, often called “knowledge robots,” are designed to analyze large quantities of data quickly, summarize real-time insights from various sources such as video, PDFs, and other documents, and provide users with concise and actionable information. The introduction of Agentic AI Blueprints is expected to simplify the process of integrating advanced AI capabilities into applications across various industries, making it more accessible to the world’s over 25 million software developers.
The Agentic AI Blueprints are built on NVIDIA’s AI Enterprise software, including NIM microservices and NeMo Retriever, which boost retrieval accuracy and reduce latency in agent workflows. This integration enables developers to create sophisticated AI applications that can understand context, identify key points, and generate concise summaries in a natural voice. For instance, the PDF to podcast AI Blueprint allows developers to turn complex PDFs into AI-generated readouts, helping professionals, students, and researchers efficiently learn about various topics and quickly grasp key takeaways.
Partnerships and Integrations
NVIDIA has partnered with several leading companies in the field of AI, including CrewAI, Daily, LangChain, LlamaIndex, and Weights & Biases, to offer integrations with its AI Enterprise software. These partnerships have resulted in developing various blueprints that cater to specific industry needs. For example, CrewAI’s blueprint for code documentation uses NVIDIA NIM microservices and NeMo Retriever to ensure comprehensive and easy-to-navigate code repositories. Similarly, Daily’s voice agent blueprint, powered by its open-source Pipecat framework, utilizes NVIDIA Riva automatic speech recognition and text-to-speech NIM microservice to achieve real-time conversational AI.
The integration of Llama 3.3 70B NVIDIA NIM microservices with LangChain’s structured report generation blueprint enables users to define a topic and specify an outline for an agent to search the web for relevant information, returning a report in the requested format. LlamaIndex’s document research assistant for blog creation blueprint harnesses NVIDIA NIM microservices and NeMo Retriever to help content creators produce high-quality blogs by automatically researching, outlining, and generating compelling content with source attribution.
Streamlining Development and Deployment
NVIDIA Blueprints empower developers to easily integrate AI into their applications, simplifying the process of building and deploying agentic AI applications. With just a single click, developers can now build and run the new agentic AI Blueprints as NVIDIA Launchables, providing on-demand access to developer environments with predefined configurations. This streamlined approach enables quick workflow setup, consistent and reproducible setups without manual configuration or overhead, and streamlines the entire development process from prototyping to deployment.
Enterprises can deploy blueprints into production using the NVIDIA AI Enterprise software platform on various data center platforms, including Dell Technologies, Hewlett Packard Enterprise, Lenovo, and Supermicro, or run them on accelerated cloud platforms from Amazon Web Services, Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure. The introduction of Accenture‘s AI Refinery for Industry, built with NVIDIA AI Enterprise software, further accelerates the development and deployment of AI agents tailored to specific industry needs.
Accelerating Adoption with AI Refinery for Industry
Accenture’s AI Refinery for Industry offers preconfigured components, best practices, and foundational elements designed to fast-track the development of AI agents. The initial launch includes 12 new industry agent solutions, with plans to introduce over 100 by the end of the year. These solutions cater to various industries, including consumer goods, life sciences, industrial asset troubleshooting, and B2B marketing, among others. By providing organizations with the tools to build specialized AI networks tailored to their needs, Accenture and NVIDIA aim to accelerate the adoption of agentic AI across different sectors.
The collaboration between NVIDIA and Accenture is expected to have a significant impact on the development and deployment of AI solutions, enabling businesses to leverage the power of agentic AI to drive innovation, improve efficiency, and enhance decision-making. As the field of AI continues to evolve, the introduction of Agentic AI Blueprints and AI Refinery for Industry marks an important step towards making advanced AI capabilities more accessible and widely adopted across various industries.
Conclusion
In conclusion, NVIDIA’s Agentic AI Blueprints and Accenture’s AI Refinery for Industry represent a significant advancement in artificial intelligence. By providing developers with the tools to build and deploy custom AI agents that can reason, plan, and take action, these initiatives are expected to accelerate the adoption of agentic AI across various industries. The partnerships and integrations with leading companies in the field of AI further enhance the capabilities of these blueprints, enabling businesses to leverage the power of AI to drive innovation, improve efficiency, and enhance decision-making. As AI continues to evolve, it will be interesting to see how these developments shape the future of artificial intelligence and its applications across different sectors.
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