New NVIDIA AI Blueprints for building agentic AI applications are poised to help enterprises everywhere automate work.
With the blueprints, developers can now build and deploy custom AI agents. These AI agents act like “knowledge robots” that can reason, plan and take action to quickly analyze large quantities of data, summarize and distill real-time insights from video, PDF and other images.
CrewAI, Daily, LangChain, LlamaIndex and Weights & Biases are among leading providers of agentic AI orchestration and management tools that have worked with NVIDIA to build blueprints that integrate the
NVIDIA AI Enterprise
software platform, including
NVIDIA NIM
microservices and NVIDIA NeMo, with their platforms. These five blueprints — comprising a
new category of partner blueprints for agentic AI
— provide the building blocks for developers to create the next wave of AI applications that will transform every industry.
In addition to the partner blueprints, NVIDIA is introducing its own new AI Blueprint for PDF to podcast, as well as another to build
AI agents for video search and summarization
. These are joined by four additional
NVIDIA Omniverse Blueprints
that make it easier for developers to build simulation-ready digital twins for physical AI.
To help enterprises rapidly take AI agents into production, Accenture is announcing
AI Refinery for Industry
built with NVIDIA AI Enterprise, including
NVIDIA NeMo
, NVIDIA NIM microservices and
AI Blueprints
.
The AI Refinery for Industry solutions — powered by Accenture AI Refinery with NVIDIA — can help enterprises rapidly launch agentic AI across fields like automotive, technology, manufacturing, consumer goods and more.
Agentic AI Orchestration Tools Conduct a Symphony of Agents
Agentic AI
represents the next wave in the evolution of generative AI. It enables applications to move beyond simple chatbot interactions to tackle complex, multi-step problems through sophisticated reasoning and planning. As explained in NVIDIA founder and CEO Jensen Huang’s
CES keynote
, enterprise AI agents will become a centerpiece of AI factories that generate tokens to create unprecedented intelligence and productivity across industries.
Agentic AI orchestration is a sophisticated system designed to manage, monitor and coordinate multiple AI agents working together — key to developing reliable enterprise agentic AI systems. The agentic AI orchestration layer from NVIDIA partners provides the glue needed for AI agents to effectively work together.
The new partner blueprints, now available from agentic AI orchestration leaders, offer integrations with
NVIDIA AI Enterprise
software, including NIM microservices and NVIDIA NeMo Retriever, to boost retrieval accuracy and reduce latency of agent workflows. 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 NVIDIA 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 NVIDIA NIM 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
With trillions of PDF files — from financial reports to technical research papers — generated every year, it’s a constant challenge to stay up to date with information.
NVIDIA’s
PDF to podcast AI Blueprint
provides a recipe developers can use to turn multiple long and complex PDFs into AI-generated readouts that can help professionals, students and researchers efficiently learn about virtually any topic and quickly understand key takeaways.
The blueprint — built on NIM microservices and text-to-speech models — allows developers to build applications that extract images, tables and text from PDFs, and convert the data into easily digestible audio content, all while keeping data secure.
For example, developers can build AI agents that can understand context, identify key points and generate a concise summary as a monologue or a conversation-style podcast, narrated in a natural voice. This offers users an engaging, time-efficient way to absorb information at their desired speed.
Test, Prototype and Run Agentic AI Blueprints in One Click
NVIDIA Blueprints empower the world’s more than 25 million software developers to easily integrate AI into their applications across various industries. These blueprints simplify the process of building and deploying agentic AI applications, making advanced AI integration more accessible than ever.
With just a single click, developers can now build and run the new agentic AI Blueprints as
NVIDIA Launchables
. These Launchables provide on-demand access to developer environments with predefined configurations, enabling quick workflow setup.
By containing all necessary components for development, Launchables support consistent and reproducible setups without the need for manual configuration or overhead — 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 is introducing its new AI Refinery for Industry with 12 new industry agent solutions built with NVIDIA AI Enterprise software and available from the
Accenture NVIDIA Business Group
. These industry-specific agent solutions include revenue growth management for consumer goods and services, clinical trial companion for life sciences, industrial asset troubleshooting and B2B marketing, among others.
AI Refinery for Industry offerings include preconfigured components, best practices and foundational elements designed to fast-track the development of AI agents. They provide organizations the tools to build specialized AI networks tailored to their industry needs.
Accenture plans to launch over 100 AI Refinery for Industry agent solutions by the end of the year.
Get started with
AI Blueprints
and join
NVIDIA at CES
.
See
notice
regarding software product information.
Categories:
Generative AI
Tags:
Artificial Intelligence
|
CES 2025
|
NVIDIA AI Enterprise
|
NVIDIA Blueprints
|
NVIDIA NeMo
|
NVIDIA NIM
|
Physical AI
|
Riva
用於建立代理型 AI 應用程式的全新 NVIDIA AI Blueprints，已經準備好協助各地的企業自動執行各項工作。
開發人員現在使用這些藍圖可以建立和部署客製化的 AI 代理。這些代理能像「知識機器人」一般推理、規畫及採取行動，從影片、PDF 和其他圖像中快速分析大量資料，做出總結及即時提取寶貴看法。
CrewAI、Daily、LangChain、LlamaIndex 及 Weights & Biases 等領先的代理型 AI 協調與管理工具供應商與 NVIDIA 合作建立藍圖，將
NVIDIA AI Enterprise
軟體平台（包括
NVIDIA NIM
微服務和 NVIDIA NeMo）與自家平台進行整合。這五個藍圖是
代理型 AI 的合作夥伴藍圖全新類別
，為開發人員創造下一波將改變各行各業的 AI 應用程式提供了建構模塊。
除了合作夥伴藍圖之外，NVIDIA 還推出了自己全新適用於 PDF to podcast 的 AI Blueprint ，以及另一個
適用於影片搜尋與摘要的 AI 代理藍圖
。另外還有四個
NVIDIA
Omniverse Blueprints
，可讓開發人員更輕鬆為實體 AI 建立模擬就緒的數位孿生。
為協助企業快速將 AI 代理導入生產環境，埃森哲（Accenture）宣布使用 NVIDIA AI Enterprise 打造
AI Refinery for Industry
，包括
NVIDIA NeMo
、NVIDIA NIM 微服務與
AI Blueprints
。
由 Accenture AI Refinery 與 NVIDIA 驅動的 AI Refinery for Industry 解決方案，可協助汽車、科技、製造業、消費品等領域的企業快速啟動代理型 AI。
代理型
AI
協調工具指揮著代理交響樂
代理型 AI
代表著生成式 AI 發展的下一波浪潮。它能讓應用程式不只是進行簡單的聊天機器人互動，而是能夠進行精密的推理與規畫，解決複雜的多步驟問題。正如 NVIDIA 創辦人暨執行長
黃仁勳在 CES 大會主題演講
中所說的，企業級 AI 代理將成為 AI 工廠的核心，這些工廠將產生出 詞元，為各行各業創造前所未有的智慧與生產力。
代理型 AI 協調是一個精密複雜的系統，專門用來管理、監控和協調多個 AI 代理協同作業 – 這是開發可靠的企業代理型 AI 系統的關鍵。NVIDIA 合作夥伴所推出的代理型 AI 協調層提供 AI 代理有效合作所需的黏合劑。
代理型 AI 協調領導廠商現已推出新的合作夥伴藍圖，可與
NVIDIA AI Enterprise
軟體整合，包括 NIM 微服務及 NVIDIA NeMo Retriever，以提高檢索精準度和減少延遲。例如：
CrewAI
使用全新 Llama 3.3 70B NVIDIA NIM 微服務及 NVIDIA NeMo Retriever 嵌入式 NIM 微服務，開發該公司的軟體開發程式碼文件藍圖。該藍圖有助於確保程式碼儲存庫保持無所不包且易於導覽的狀態。
Daily
的語音代理藍圖由該公司的開源 Pipecat 架構所驅動，使用
NVIDIA
Riva
自動語音辨識與文字轉語音 NIM 微服務，以及 Llama 3.3 70B NIM 微服務來提供即時對話 AI。
LangChain
將 Llama 3.3 70B NVIDIA NIM 微服務加入其結構化報告生成藍圖。該藍圖以 LangGraph 為基礎，使用者可以定義主題與指定大綱，引導代理在網路上搜尋相關資訊，用要求的格式傳回報告。
LlamaIndex
用於部落格創作藍圖的文件研究助理，利用 NVIDIA NIM 微服務和 NeMo Retriever 協助內容創作者製作優質的部落格內容。它可以利用 NeMo Retriever 的代理驅動
檢索增強生成
功能，自動進行研究、擬定大綱和產生具吸引力的內容，並且註明資料來源。
Weights & Biases
將該公司的 W&B Weave 功能加入 AI 虛擬助理的 AI 藍圖，該藍圖採用 Llama 3.1 70B NIM 微服務。該藍圖可簡化除錯、評估、反覆調整和追蹤生產效能，以及收集人類回饋的流程，以支援在建立和部署代理型 AI 應用程式之際，能夠完美進行整合和更快重複進行調整。
在確保專屬資料安全的同時，對許多複雜的
PDF
檔案擷取摘要
每年都會產生出上兆份 PDF 檔案（從財務報告到技術研究論文），要隨時掌握最新資訊一直都是一件不容易的事。
開發人員可以使用 NVIDIA 的 PDF to podcast AI Blueprint 將多個冗長又複雜的 PDF 文件，轉換成 AI 生成的讀出內容，幫助專業人士、學生和研究人員有效瞭解幾乎任何主題，以及快速掌握其中的關鍵重點。
這個藍圖以 NIM 微服務和文字轉語音模型為基礎，讓開發人員能夠建立應用程式，從 PDF 檔案中提取影像、表格和文字，並且將資料轉換為易於理解的語音內容，同時確保資料安全。舉例來說，開發人員可以建立 AI 代理，能夠理解語順脈絡、找出其中的重點，並且產生獨白或對話式 Podcast，以自然語音簡單敘述摘要。這樣讓使用者能夠用一種吸引人且省時的方式，以他們想要的速度吸收資訊。
一鍵測試、製作原型與運行代理型
AI Blueprints
NVIDIA Blueprints 讓全球超過 2500 萬名軟體開發人員可以輕鬆將 AI 整合到各產業的應用程式中。這些藍圖簡化了建置和部署代理型 AI 應用程式的流程，讓人更容易使用到先進的 AI 整合項目。
開發人員現在只要按一下滑鼠，就能以 NVIDIA Launchables 的方式建立和運行新的代理型 AI Blueprints。這些 Launchables 可以讓人按照需求進入有先定義好組態內容的開發人員環境，以便快速設定工作流程。
這些 Launchables 內有開發所需的所有元件，支援一致且可重複的設定，無需手動設定或間接成本，簡化從原型設計到部署的整個開發流程。
企業還能在 Dell Technologies、Hewlett Packard Enterprise、Lenovo 和 Supermicro 等業者推出的資料中心平台上，利用
NVIDIA AI Enterprise
軟體平台將藍圖部署至生產環境，或是在 Amazon Web Services、Google Cloud、Microsoft Azure 和 Oracle Cloud Infrastructure 的加速雲端平台上運行藍圖。
埃森哲
與
NVIDIA
利用
AI Refinery for Industry
快速部署
埃森哲推出全新的 AI Refinery for Industry，利用 NVIDIA AI Enterprise 軟體打造 12 個全新的產業代理解決方案，並且由
埃森哲 NVIDIA 事業群
提供。這些針對特定產業的代理解決方案包括消費品與服務的營收成長管理、生命科學的臨床試驗伴隨服務、工業資產故障排患與 B2B 行銷等。
AI Refinery for Industry 產品包括預先配置元件、最佳做法和基礎元素，用於快速開發 AI 代理。它們提供工具給組織，以建立符合其產業需求的專門 AI 網路。
埃森哲計畫在今年底前推出超過 100 個 AI Refinery for Industry 代理解決方案。
開始使用
AI Blueprints 並參加
NVIDIA 在 CES 大會的各項活動
。
請見有關軟體產品資訊的
通知
。
Categories:
生成式人工智慧
Tags:
Artificial Intelligence
|
CES 2025
|
NVIDIA AI Enterprise
|
NVIDIA Blueprints
|
NVIDIA NeMo
|
NVIDIA NIM
|
Riva