NVIDIA and Partners Launch Agentic AI Blueprints at CES 2025. So developers can now build and deploy custom AI agents that can reason, plan, and take action with new NVIDIA AI Blueprints that include NVIDIA NIM microservices, NVIDIA NeMo, and agentic AI frameworks from leading providers.
Moreover, these AI blueprints are for building agentic applications, enabling developers to create and deploy custom AI agents capable of quickly analyzing large amounts of data and extracting real-time insights from various sources.
These blueprints, integrate the AI Enterprise software platform with leading providers like CrewAI, Daily, LangChain, LlamaIndex, and Weights & Biases.
NVIDIA and Partners Present AI Blueprints
The company and its partners are introducing new AI blueprints for PDF, video search, and summarization, and four NVIDIA Omniverse blueprints for developing simulation-ready digital twins for physical AI. Accenture is launching AI Refinery for the industry, including NVIDIA NeMo, NVIDIA NIM microservices, and AIBlueprints, to help enterprises launch agentic AI across various industries.
Agentic AI Orchestration Tools Conduct a Symphony of Agents
Agentic AI is the next wave of generative AI, enabling applications to tackle complex problems through sophisticated reasoning and planning. The company’s agentic AI orchestration system manages, monitors, and coordinates multiple AI agents, ensuring reliable enterprise agentic AI systems.
The new partner blueprints, now available from agentic AI orchestration leaders, offer integrations with AI Enterprise software, including NIM microservices and NVIDIA NeMo Retriever, to boost retrieval accuracy and reduce latency. For example:
● CrewAI is using new Llama 3.3 70B NVIDIA NIM microservices and the NVIDIA NeMo Retriever embedding NIM microservice for its blueprint for code documentation for software development. The blueprint helps ensure code repositories remain comprehensive and easy to navigate.
● Daily’s voice agent blueprint, powered by the company’s open-source Pipecat framework, uses the NVIDIA Riva automatic speech recognition and text-to-speech NIM microservice, along with the Llama 3.3 70B NIM microservice to achieve real-time conversational AI.
● LangChain is adding Llama 3.3 70B NIM microservices to its structured report generation blueprint. Built on LangGraph, the blueprint allows users to define a topic and specify an outline to guide an agent in searching the web for relevant information, so it can return a report in the requested format.
● LlamaIndex’s document research assistant for blog creation blueprint harnesses NVIDIANIM microservices and NeMo Retriever to help content creators produce high-quality blogs. It can tap into agentic-driven retrieval-augmented generation with NeMo Retriever to automatically research, outline, and generate compelling content with source attribution.
● Weights & Biases is adding its W&B Weave capability to the AI Blueprint for AI virtual assistants, which features the Llama 3.1 70B NIM microservice. The blueprint can streamline the process of debugging, evaluating, iterating, and tracking production performance and collecting human feedback to support seamless integration and faster iterations for building and deploying agentic AI applications.
Summarize Many, Complex PDFs While Keeping Proprietary Data Secure
The company’s PDF to-podcast AI Blueprint enables developers to convert complex PDFs into AI-generated readouts, aiding in efficient learning for professionals, students, and researchers. The blueprint, built on NIM microservices and text-to-speech models, extracts images, tables, and text from PDFs, converting data into digestible audio content while maintaining data security. This provides an engaging, time-efficient way to absorb information.
Test, Prototype, and Run Agentic AI Blueprints in One Click
NVIDIA Blueprints enable over 25 million software developers to integrate AI into their applications, simplifying the process. Launchables, available as NVIDIA Launchables, provide on-demand access to predefined configurations, enabling quick workflow setup and streamlining the entire development process from prototyping to deployment.
Enterprises can also deploy blueprints into production with the NVIDIA AI Enterprise software platform on 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.
Accenture and NVIDIA Fast-Track Deployments With AI Refinery for Industry
Accenture introduces 12 AI Refinery solutions for the industry, including public sector recruiting, telecommunications agent-assist contact center, insurance claims underwriting, banking legacy modernization, consumer goods and services revenue growth management, and clinical trial companion.
AI Refinery for Industry offerings includes pre-configured components, best practices, and foundational elements designed to fast-track the development of AI agents. They provide organizations with the tools to build specialized AI networks tailored to their industry needs.
Accenture plans to launch over 100 AI Refineries for Industry agent solutions by the end of the year.
Get started with AI Blueprints here.
Started his freelancing adventure in 2018 and began doing freelance Audio Engineering work and then started freelance writing a few years later.
Currently he writes for Gadget Pilipinas and Grit.PH.
He is also a musician, foody, gamer, and PC enthusiast.
