In 2023, AI revolutionized the manufacturing industry by automating costly processes. By 2024, AI factories will completely transform the manufacturing industry by managing and analyzing sensor data using cloud-based technologies such as NVIDIA Tesla, thereby enhancing productivity, quality, and cost-effectiveness. Here are some examples: NVIDIA and Foxconn Foxconn recently announced a partnership with NVIDIA to develop an AI factory based on GPU computing infrastructure. This collaboration includes the development of valuable AI models and annotations by processing and transforming large amounts of data. The partnership also involves the development of intelligent solutions platforms such as Foxconn's smart electric vehicles (based on NVIDIA DRIVE Hyperion 9 and NVIDIA DRIVE Thor), NVIDIA Isaac autonomous mobile robot platform, and Foxconn's smart city integrated with NVIDIA Metropolis intelligent video analytics platform. The goal is to help the industry transition into the new AI era faster, as stated by Foxconn's Chairman and CEO, Liu Yangwei. Key NVIDIA technologies used include NVIDIA HGX reference design, NVIDIA GH200 superchip, NVIDIA OVX reference design, and NVIDIA networking technology. Foxconn is also considering establishing its own AI factory using the NVIDIA Omniverse platform, as well as the Isaac and Metropolis frameworks, to meet the strict production and quality standards of the electronics industry. NVIDIA and BMW NVIDIA's CEO, Jensen Huang, showcased a vision of a future manufacturing factory that integrates reality, virtual reality, robots, and AI to manage BMW's car factory. The AI factory demonstration featured NVIDIA Omniverse Enterprise, the first technology platform that allows global 3D design teams to work simultaneously across multiple software suites in a shared virtual space. The AI factory demonstration also included the NVIDIA Isaac robot platform, NVIDIA EGX edge computing platform, and NVIDIA Aerial software development kit. BMW's factory line is capable of producing up to 10 different cars, each with over 100 options and more than 40 BMW models. This technology has completely transformed BMW's planning process, allowing workers to operate in a perfect simulated environment without the need to be physically present. Using NVIDIA Omniverse and NVIDIA AI technology, it is possible to simulate the production network of 31 factories, enabling AI-driven use cases such as virtual factory planning, autonomous robots, predictive maintenance, and big data analytics. NVIDIA and Siemens Siemens Energy, a leading power plant technology supplier, is using the NVIDIA Omniverse platform to create digital twins for predictive maintenance in power plants. This is part of a wave of companies using digital twins to enhance operations, including BMW Group and Ericsson. The global digital twin platform market is expected to reach $86 billion by 2028. Siemens Energy builds and services combined cycle power plants, including gas and steam turbines. The industry average planned downtime reduction of 10% can save $1.7 billion annually. Siemens Energy is using NVIDIA technology to develop a workflow that reduces unplanned downtime while ensuring safety. Real-time data is preprocessed to compute the pressure, temperature, and velocity of water and steam, which is then input into a physics-ML model created by the NVIDIA Modulus framework. The flow conditions are visualized using NVIDIA Omniverse, a virtual world simulation and collaboration platform for 3D workflows. This helps Siemens Energy fine-tune maintenance requirements without the risk of failure. Note: The HTML tags have been retained, while the style and class attributes have been removed.