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Industrial AI is a term that describes the application of a wide range of AI techniques and technologies to industrial processes and systems, such as manufacturing, engineering, design, supply chain, energy, and environmental. Breakthroughs in Generative AI, 
characterized by its ability to generate novel content based on pre-trained Large Language Models, is transforming our interaction with technology. Generative AI isn’t just enhancing inherently smart AI-based products, it's revolutionizing the way we interact with ALL technology, including a wide range of industrial software.
One of the key enablers of industrial AI is the concept of digital twin, which is a virtual representation of a physical entity or system that can be used to monitor, simulate, optimize, and control its behavior and performance. Digital twins can help create a seamless connection between the physical and digital worlds, enabling real-time data exchange, feedback, and collaboration.
Digital twins are also the foundation of another emerging concept: industrial metaverses. Metaverse is a term that describes a highly immersive and connected virtual and physical reality that enables new levels of interactivity and data analytics. Industrial metaverses can mirror and simulate real machines, factories, cities, transportation networks, and other complex systems, allowing us to design, develop, deploy, and manage industrial applications in a fully digitalized way.
Industrial AI and the Industrial Metaverse Vision
Energized by breakthroughs in Generative AI, Industrial AI investments have seemingly overshadowed Industrial Metaverse investments in the short term. The shift from Metaverse to AI investments mainly stems from the immediacy of returns from AI compared to the Metaverse. Industrial AI has already demonstrated its value across many use cases, from optimizing manufacturing processes to improving supply chain management.
However, the pivot does not undermine the potential of the Industrial Metaverse. On the contrary, Industrial AI is a foundational technology that could enable the realization of the Industrial Metaverse vision. With new Industrial AI foundations and heightened user expectations, we could be on the verge of accelerating demand and feasibility for Industrial Metaverse delivery.
How Nvidia’s Technology is Playing a Pivotal Role in Making it All Happen
Nvidia is a company that needs no introduction for anyone who is interested in technology. Founded in 1993 by three computer scientists, Nvidia started as a graphics chip maker that revolutionized the gaming industry with its GeForce GPUs. Since then, Nvidia has expanded its scope and vision to become a leading player in the fields of artificial intelligence (AI), high-performance computing (HPC), and simulation. Today, Nvidia’s products and services power some of the most advanced and innovative applications across various industries, especially in the industrial sector.
Nvidia’s technology is playing a pivotal role in making industrial AI and metaverse possible and accessible for various industries. Nvidia has developed several technologies that support the creation and operation of industrial AI and metaverse applications:
Nvidia's Grace Hopper: A Breakthrough in AI Computing: The Nvidia GH200 Grace Hopper Superchip is a breakthrough accelerated CPU designed specifically for large-scale AI and high-performance computing. It combines the Grace and Hopper architectures using Nvidia's NVLink-C2C technology, delivering a CPU+GPU coherent memory model that accelerates applications with exceptionally large memory footprints. Now in full production, the Grace Hopper Superchip is set to power systems running complex AI programs. It packs 144 Arm Neoverse V2 cores and delivers a staggering 1 terabyte per second (TB/s) of memory bandwidth, providing the computational horsepower needed to train, develop, and deploy AI-enhanced solutions.
Nvidia Omniverse: Nvidia Omniverse is a platform-as-a-service that gives instant access to a full-stack environment to design, develop, deploy and manage industrial AI and metaverse applications. Nvidia Omniverse provides photorealistic rendering capabilities and advanced AI to enable realistic and interactive simulations of complex physical phenomena and systems.
Nvidia DGX Cloud: Nvidia DGX Cloud is an AI supercomputing service that gives enterprises immediate access to the infrastructure and software needed to train advanced models for industrial AI and metaverse applications. Nvidia DGX Cloud leverages Nvidia’s powerful GPUs and software frameworks to enable fast and scalable AI training and inference.
Nvidia OpenUSD Alliance: Nvidia OpenUSD Alliance is a consortium of leading companies that are working together to expand Universal Scene Description (USD), a standard format for exchanging 3D data, beyond visual effects to better support industrial AI and metaverse applications. The OpenUSD Alliance aims to create a common language for 3D collaboration and simulation across different domains and platforms.
Nvidia’s Partnerships Bringing Industrial AI and Metaverse to Life
Nvidia has also established many collaborations with industrial organizations to demonstrate the potential of industrial AI and industrial metaverses. Some of these collaborations include:
ABB: Nvidia and ABB are collaborating to integrate Nvidia’s AI and Omniverse technologies with ABB’s robotics and automation solutions. The collaboration will enable customers to create, simulate and operate digital twins of their factories and robots, as well as to leverage generative AI for robot programming and control.
Advantech: Nvidia and Advantech are collaborating to deliver edge computing solutions for industrial IoT applications. The collaboration will enable customers to deploy AI models on Advantech’s edge devices that are powered by Nvidia’s Jetson platform, which is a low-power, high-performance GPU for embedded systems.
ANSYS: Nvidia and ANSYS are collaborating to accelerate engineering simulations using Nvidia’s GPUs and Omniverse platform. The collaboration will enable customers to perform faster and more accurate simulations of complex physical phenomena, such as fluid dynamics, electromagnetics, structural mechanics, and acoustics.
Autodesk: Nvidia and Autodesk are collaborating to enhance the performance and capabilities of Autodesk’s design and engineering software using Nvidia’s GPUs and Omniverse platform. The collaboration will enable customers to create, visualize and collaborate on 3D models in real time, as well as to leverage generative AI for design optimization and exploration.
Aras: Nvidia and Aras are collaborating to integrate Nvidia’s AI and Omniverse technologies with Aras’ product lifecycle management (PLM) solutions. The collaboration will enable customers to manage the entire lifecycle of their products, from ideation to operation, in a unified digital environment that supports 3D collaboration and simulation.
Arena: Nvidia and Arena are collaborating to integrate Nvidia’s AI and Omniverse technologies with Arena’s cloud-based PLM solutions. The collaboration will enable customers to streamline their product development processes, from design to manufacturing, in a collaborative 3D platform that supports real-time feedback and validation.
AVEVA: Nvidia and AVEVA are collaborating to integrate Nvidia’s AI and Omniverse technologies with AVEVA’s industrial software solutions. The collaboration will enable customers to create digital twins of their industrial assets, processes and operations, as well as to leverage generative AI for predictive maintenance, energy optimization and operational efficiency.
Dassault Systèmes: Nvidia and Dassault Systèmes are collaborating to enhance the performance and capabilities of Dassault Systèmes’ 3DEXPERIENCE platform using Nvidia’s GPUs and Omniverse platform. The collaboration will enable customers to create and collaborate on 3D models and simulations in real time, as well as to leverage generative AI for design innovation and optimization.
Emerson: Nvidia and Emerson are collaborating to integrate Nvidia’s AI and Omniverse technologies with Emerson’s automation solutions. The collaboration will enable customers to create digital twins of their plants and processes, as well as to leverage generative AI for process control and optimization.
Eurostep: Nvidia and Eurostep are collaborating to integrate Nvidia’s AI and Omniverse technologies with Eurostep’s PLM solutions. The collaboration will enable customers to manage the lifecycle of their products across different domains and platforms in a secure and interoperable way.
Hexagon: Nvidia and Hexagon are collaborating to integrate Nvidia’s AI and Omniverse technologies with Hexagon’s smart manufacturing solutions. The collaboration will enable customers to connect the physical and digital worlds in their factories using digital twins, IoT, AI, and XR.
Honeywell: Nvidia and Honeywell are collaborating to integrate Nvidia’s AI and Omniverse technologies with Honeywell’s industrial software solutions. The collaboration will enable customers to create digital twins of their assets, networks, and grids, as well as to leverage generative AI for energy management, demand response, and grid resilience.
PTC: Nvidia and PTC are collaborating to integrate Nvidia’s AI and Omniverse technologies with PTC’s industrial software solutions. The collaboration will enable customers to create digital twins of their products, processes, and operations, as well as to leverage generative AI for design exploration, simulation, and optimization.
Schneider Electric: Nvidia and Schneider Electric are collaborating to integrate Nvidia’s AI and Omniverse technologies with Schneider Electric’s EcoStruxure solutions. The collaboration will enable customers to create digital twins of their buildings, infrastructure, and energy systems, as well as to leverage generative AI for sustainability, efficiency, and comfort.
Siemens: Nvidia and Siemens are collaborating to integrate Nvidia’s AI and Omniverse technologies with Siemens’ Xcelerator platform. The collaboration will enable customers to create digital twins of their products, systems, software, interfaces and more,
How Nvidia’s Grace Hopper Could Solve the Industrial AI Sustainability Paradox
Artificial intelligence (AI) is widely regarded as a key driver of innovation and transformation in various industries, especially in the industrial sector. AI can help improve productivity, quality, flexibility, and sustainability of industrial processes and products, as well as create new value and opportunities for industrial customers and stakeholders. However, AI also poses significant challenges and risks for the environment and society, such as increasing energy consumption, carbon emissions, e-waste, and ethical dilemmas. This creates what some researchers call the “AI sustainability paradox”, where the perceived sustainability impact of AI is higher than the short-term benefits.
One of the main factors that contribute to the AI sustainability paradox is the hardware that powers AI applications. AI requires high-performance computing (HPC) hardware that can process large amounts of data and perform complex calculations at high speed and accuracy. However, HPC hardware also consumes a lot of energy and generates a lot of heat, which requires additional cooling and power systems. Moreover, HPC hardware has a short lifespan and becomes obsolete quickly, leading to more e-waste and resource depletion.
Nvidia’s Grace Hopper (GH200) hardware series is designed to deliver unprecedented performance and efficiency for AI applications. The GH200 series is based on Nvidia’s next-generation GPU architecture, codenamed Grace Hopper, which is named after the pioneering computer scientist and US Navy rear admiral. The GH200 series consists of four models: GH200X, GH200LX, GH200L, and GH200.
The GH200 series offers several features and advantages that could help solve the AI sustainability paradox, such as:
Higher performance: The GH200 series can deliver up to 10 times faster performance than the previous generation of Nvidia GPUs for AI training and inference.
Lower power consumption: The GH200 series can reduce the power consumption of AI applications by up to 50% compared to the previous generation of Nvidia GPUs.
Longer lifespan: The GH200 series can extend the lifespan of AI applications by up to 3 times compared to the previous generation of Nvidia GPUs. The Impact of Grace Hopper on Industrial AI Applications
Nvidia’s Grace Hopper hardware series could be a game-changer for the future of AI and its impact on the industrial sector. By delivering higher performance, lower power consumption and longer lifespan for AI applications, Grace Hopper hardware could help solve the AI sustainability paradox and enable industrial organizations to harness the full potential of AI for innovation and transformation. Moreover, by combining Grace Hopper hardware with new software design patterns, industrial organizations could further enhance the efficiency and sustainability of their AI applications and achieve new levels of connectivity and intelligence.
Conclusion
The recent shift of investment from Industrial Metaverse to Industrial AI signifies a pragmatic approach to harnessing the power of digital technologies. However, the continued interest in Industrial Metaverses, led by one of the most influential technology providers powering the , suggests that this concept is far from being written off. As these technologies continue to evolve, the industrial sector stands to benefit from the synergies between AI and the Metaverse, ultimately leading to a future where the physical and digital worlds converge.