According to Gartner, the worldwide end-user spending on all IT products for 2024 was $5 trillion. This industry is built on a computing fabric of electrons, is fully software-defined, accelerated — and now generative AI-enabled. While huge, it’s a fraction of the larger physical industrial market that relies on the movement of atoms.
Today’s 10 million factories, nearly 200,000 warehouses and 40 million miles of highways form the “computing” fabric of our physical world. But that vast network of production facilities and distribution centers is still laboriously and manually designed, operated and optimized.
In warehousing and distribution, operators face highly complex
decision optimization
problems — matrices of variables and interdependencies across human workers, robotic and agentic systems and equipment. Unlike the IT industry, the physical industrial market is still waiting for its own software-defined moment.
That moment is coming.
Choreographed integration of human workers, robotic and agentic systems and equipment in a facility digital twin. Image courtesy of Accenture, KION Group.
NVIDIA today at CES announced “Mega,” an Omniverse Blueprint for developing, testing and optimizing physical AI and robot fleets at scale in a digital twin before deployment into real-world facilities.
Advanced warehouses and factories use fleets of hundreds of autonomous mobile robots, robotic arm manipulators and
humanoids
working alongside people. With implementations of increasingly complex systems of sensor and robot autonomy, it requires coordinated
training in simulation
to optimize operations, help ensure safety and avoid disruptions.
Mega offers enterprises a reference architecture of NVIDIA accelerated computing, AI,
NVIDIA Isaac
and
NVIDIA Omniverse
technologies to develop and test
digital twins
for testing AI-powered robot brains that drive robots,
video analytics AI agents
, equipment and more for handling enormous complexity and scale. The new framework brings software-defined capabilities to physical facilities, enabling continuous development, testing, optimization and deployment.
Developing AI Brains With World Simulator for Autonomous Orchestration
With Mega-driven digital twins, including a world simulator that coordinates all robot activities and sensor data, enterprises can continuously update facility robot brains for intelligent routes and tasks for operational efficiencies.
The blueprint uses
Omniverse Cloud Sensor RTX APIs
that enable robotics developers to render sensor data from any type of intelligent machine in the factory, simultaneously, for high-fidelity large-scale
sensor simulation
. This allows robots to be tested in an infinite number of scenarios within the digital twin, using
synthetic data
in a software-in–the-loop pipeline with
NVIDIA Isaac ROS
.
Operational efficiency is gained with sensor simulation. Image courtesy of Accenture, KION Group.
Supply chain solutions company KION Group
is collaborating
with
Accenture
and NVIDIA as the first to adopt Mega for optimizing operations in retail, consumer packaged goods, parcel services and more.
Jensen Huang, founder and CEO of NVIDIA, offered a glimpse into the future of this collaboration on stage at CES, demonstrating how enterprises can navigate a complex web of decisions using the Mega Omniverse Blueprint.
“At KION, we leverage AI-driven solutions as an integral part of our strategy to optimize our customers’ supply chains and increase their productivity,” said Rob Smith, CEO of KION GROUP AG. “With NVIDIA’s AI leadership and Accenture’s expertise in digital technologies, we are reinventing warehouse automation. Bringing these strong partners together, we are creating a vision for future warehouses that are part of a smart agile system, evolve with the world around them and can handle nearly any supply chain challenge.”
Creating Operational Efficiencies With Mega Omniverse Blueprint
Creating operational efficiencies, KION and Accenture are embracing the Mega Omniverse Blueprint to build next-generation supply chains for KION and its customers. KION can capture and digitalize a warehouse digital twin in Omniverse by using computer-aided design files, video, lidar, image and AI-generated data.
KION uses the Omniverse digital twin as a virtual training and testing environment for its industrial AI’s robot brains, powered by NVIDIA Isaac, tapping into smart cameras, forklifts, robotic equipment and digital humans. Integrating the Omniverse digital twin, KION’s warehouse management software can create and assign missions for robot brains, like moving a load from one place to another.
Graphical data is easily introduced into the Omniverse viewport showcasing productivity and throughput among other desired metrics. Image courtesy of Accenture, KION Group.
These simulated robots can carry out tasks by perceiving and reasoning in environments, and they’re capable of planning next motions and then taking actions that are simulated in the digital twin. The robot brains perceive the results deciding the next action, and this cycle continues with Mega precisely tracking the state and position of all the assets in the digital twin.
Delivering Services With Mega for Facilities Everywhere
Accenture, global leader in professional services, is adopting Mega as part of its AI Refinery for Simulation and Robotics, built on NVIDIA AI and Omniverse, to help organizations use AI simulation to reinvent factory and warehouse design and ongoing operations.
With the blueprint, Accenture is delivering new services — including Custom Robotics and Manufacturing Foundation Model Training and Finetuning; Intelligent Humanoid Robotics; and AI-Powered Industrial Manufacturing and Logistics Simulation and Optimization — to expand the power of physical AI and  simulation to the world’s factories and warehouse operators.  Now, for example, an organization can explore numerous options for their warehouse before choosing and implementing the best one.
“As organizations enter the age of industrial AI, we are helping them use AI-powered simulation and autonomous robots to reinvent the process of designing new facilities and optimizing existing operations,” said Julie Sweet, chair and CEO of Accenture. “Our collaboration with NVIDIA and KION will help our clients plan their operations in digital twins, where they can run hundreds of options and quickly select the best for current or changing market conditions, such as seasonal market demand or workforce availability.  This represents a new frontier of value for our clients to achieve using technology, data and AI.”
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據資訊科技研究顧問公司 Gartner 指出，2024 年全球終端用戶在所有 IT 產品上的支出為五兆美元。這個產業建構在電子運算結構的基礎上，完全由軟體定義及加速，現在開始由生成式AI賦能。這個產業的規模雖然龐大，卻也只是依賴原子移動之大型實體工業市場的一小部分。
現下的一千萬間工廠、將近 20 萬個倉庫和 4,000 萬英哩長的高速公路，構成了我們實體世界的「運算」結構。這個由生產設施和配送中心組成的龐大網路，仍然是由人工進行設計、營運和最佳化的。
在倉儲和配送過程中，作業人員面臨著錯綜複雜的
決策最佳化
問題：變數矩陣還有人類工作者、機器人和代理系統及設備之間的相互依存關係。與 IT 產業不同的是，實體工業市場仍在等待自己的軟體定義時刻。
而這個時刻即將來臨。
在設施的數位孿生模型中，精心將人類工作者、機器人和代理系統與設備進行分工整合。圖片來源：Accenture、KION Group。
NVIDIA 今日在 CES 大會發表「Mega」，一個用於先在數位孿生模型中大規模開發、測試和最佳化實體 AI 與機器人機隊，再部署到實際設施的 Omniverse Blueprint。
先進的倉庫和工廠使用由數百個自主移動機器人、機械手臂和
人型
機器人組成的機隊，與人類一起工作。隨著感測器和機器人自駕系統越來越複雜，需要
在模擬環境裡進行協調訓練
，以最佳化營運，幫助確保安全和避免作業中斷。
Mega 為企業提供 NVIDIA 加速運算、AI、
NVIDIA Isaac
及
NVIDIA Omniverse
技術的參考架構，以開發和測試
數位孿生
，用於測試驅動機器人、
影片分析 AI 代理
、設備等的 AI 驅動機器人大腦，以處理這些極為複雜又規模龐大的作業。新框架可為實體設施帶來軟體定義的功能，以持續進行開發、測試、最佳化與部署等作業。
利用世界模擬器開發
AI
大腦，以進行自主協調
透過使用由 Mega 驅動的數位孿生，當中包括協調所有機器人活動和感測器資料的世界模擬器，企業可以持續更新設施的機器人大腦，以聰明地規畫行進路線和執行任務，提高運作效率。
這個藍圖使用
Omniverse Cloud
Sensor RTX
API
，使機器人開發人員能夠同時渲染來自工廠中任何類型智慧機器的感測器資料，以進行極為逼真的大規模感測器模擬。這麼一來便能使用
NVIDIA Isaac ROS
軟體在軟體迴路（SIL）管道中的
合成資料
，在數位孿生內產生不限數量的情境中進行測試機器人。
採用感測器模擬方式提高運作效率。圖片來源：Accenture、KION Group。
供應鏈解決方案公司凱傲集團（KION Group）與埃森哲（Accenture）及 NVIDIA 合作，率先採用 Mega 來改善零售、消費品、包裹服務等領域的營運。
NVIDIA 創辦人暨執行長黃仁勳在 CES 大會的舞台上展現這項合作的未來，介紹企業如何利用 Mega Omniverse Blueprint 駕馭複雜的決策網路。
凱傲集團執行長 Rob Smith 表示：「凱傲集團運用 AI 驅動的解決方案，將其視為完善客戶供應鏈與提高生產力策略不可或缺的一環。憑藉 NVIDIA 在 AI 方面的領導地位以及埃森哲在數位科技方面的專業知識，我們正在重塑倉儲自動化。與這些強大的夥伴攜手合作，我們正在創造未來倉庫的發展願景，這些倉庫是智慧敏捷系統的一部分，與身旁周遭的世界一同演進，幾乎可以處理任何供應鏈的挑戰。」
使用
Mega Omniverse Blueprint
創造運作效率
凱傲集團與埃森哲採用 Mega Omniverse Blueprint 為凱傲集團及其客戶建立下一代供應鏈，以提高運作效率。凱傲集團可以透過使用電腦輔助設計檔案、影片、光達、圖像和 AI 生成的資料，在 Omniverse 中捕捉和數位化一個倉庫的數位孿生。
在 NVIDIA Isaac 的驅動下，凱傲集團使用 Omniverse 數位孿生作為其工業 AI 機器人大腦的虛擬訓練和測試環境，利用智慧攝影機、推高機、機器人設備和數位人類。凱傲集團的倉儲管理軟體結合 Omniverse 數位孿生模型，可以為機器人大腦建立和分配任務，例如將貨物從一處搬到另一處。
可以輕鬆將圖形資料導入 Omniverse 視窗，展示生產力和處理量等其他所需的指標。圖片來源：Accenture、KION Group。
這些模擬出的機器人能夠感知環境及進行推理來執行任務，並且能夠規畫下一個動作，然後採取在數位孿生中模擬出的行動。機器人的大腦會感知結果以決定下一步的動作，而 Mega 會精確追蹤數位孿生中所有資產的狀態和位置，如此循環不息。
透過
Mega
為各地設施提供服務
全球專業服務領導廠商埃森哲採用 Mega，作為該公司以 NVIDIA AI 和 Omniverse 為基礎所開發出 AI Refinery for Simulation and Robotics 產品的一部分，協助企業利用 AI 模擬重塑工廠和倉庫的設計與持續經營。
埃森哲將透過這個藍圖提供新的服務，包括客製化機器人與製造基礎模型訓練與微調、智慧人型機器人，以及 AI 驅動的工業製造與物流模擬與最佳化，旨在將物理 AI 和模擬的強大功能擴展到全球的工廠和倉庫營運商。例如，現在一家企業可以在選擇並實施最佳方案之前，探索倉庫的多種選擇。
埃森哲董事長暨執行長 Julie Sweet 表示：「隨著企業進入工業 AI 時代，我們正幫助他們使用 AI 驅動的模擬和自主機器人，重塑設計新設施的流程和最佳化現有營運。我們與 NVIDIA 及凱傲集團合作，將協助客戶在數位孿生中規畫營運活動，客戶可以在數位孿生中運行上百種選擇內容，按照當前或不斷變化的市場情況（如季節性市場需求或勞動力可用性）快速選擇最佳方案。這代表著我們的客戶利用科技、資料和 AI 實現價值的新前沿。」
請見有關軟體產品資訊的
通知
。
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