6 Sources
[1]
Nvidia is building the world's first industrial AI cloud -- German facility to leverage 10,000 GPUs, DGX B200, and RTX Pro servers
Nvidia CEO Jensen Huang announced at GTC Paris that the company is building the world's first industrial AI cloud in Europe. Manufacturers from the region are expected to take advantage of its capabilities for design, engineering, planning, simulation, robotics, and many other applications. According to the AI chip maker, companies like BMW, Maserati, Mercedes-Benz, and Schaeffler use applications from Ansys, Cadence, and Siemens, all of which can be powered by Nvidia's hardware. "In the era of AI, every manufacturer needs two factories: one for making things, and one for creating the intelligence that powers them," Huang said at the GTC Paris Keynote. "By building Europe's first industrial AI infrastructure, we're enabling the region's leading industrial companies to advance simulation-first, AI-driven manufacturing." The company is going to build this facility in Germany, and it will have 10,000 GPUs -- combining Nvidia DGX B200 systems and RTX PRO Servers -- and will run CUDA-X libraries, and RTX and Omniverse-accelerated workloads used by leading software developers. Nvidia says that this industrial AI cloud "will serve as a launchpad to accelerate AI development and adoption for European manufacturers in anticipation of AI gigafactories." It isn't clear who is funding this project, but the European Commission has previously announced plans to invest $20 billion in AI infrastructure. Aside from this industrial AI cloud, Nvidia also said that it's releasing new tools that will make it easier to build "AI factories" -- large-scale compute installations like this one -- both on-site and in the cloud, which will allow governments and organizations to create their own sovereign AI agents. These AI agents are crucial for highly sensitive and regulated industries, like finance, healthcare, and governance, as they are tailored to regional culture, understand the local language, and are far more secure than AI tools built by others. The company says many European organizations are already building AI factories using Nvidia technologies. These include the French multinational banking and financial services company BNP Paribas and the German financial IT service provider Finanz Informatik. Even beauty brand L'Oreal is backing a startup that has partnered with Accenture and is using its AI Refinery platform to develop the AI Beauty Matchmaker. Nvidia's push to build AI factories will make it easier for companies to develop and use AI tools that are specifically tailored for their needs. It seems that the Germany-based industrial AI cloud facility is being built to serve the infrastructure needs of this effort, especially for institutions that cannot afford to buy hardware. Aside from that, Nvidia also launched the DGX Cloud Lepton marketplace, which makes it easier for smaller companies to rent computing power for their AI factory needs, allowing them to easily pick and choose providers on one single platform.
[2]
Germany Builds Its AI Autobahn With NVIDIA
From powerful AI factories to nimble humanoid robots, German initiatives powered by NVIDIA full-stack AI are driving economic growth across the nation. Germany is building on a long history of engineering innovation with new AI investments poised to transform the country's economy -- including the automotive, banking, manufacturing and robotics industries. The country is deploying tens of thousands of NVIDIA GPUs to power AI factories that generate intelligence for businesses and researchers, optimized AI software to run agentic and reasoning models for enterprises, and physical AI technologies for next-generation cars and robots. Industry leaders, startups and research institutions are highlighting these and other initiatives at ISC High Performance and NVIDIA GTC Paris at VivaTech this week. Advanced AI Factory Infrastructure for Researchers, Enterprises AI factories coming online across Germany will support the development of sovereign AI applications in the public and private sectors -- including for the country's small- and medium-size companies, known as the Mittelstand. The Mittelstand accounts for 99% of all enterprises in Germany and over half of the country's economic output. NVIDIA is building the world's first industrial AI cloud for European manufacturers, based in Germany. Powered by NVIDIA DGX B200 systems and NVIDIA RTX PRO Servers featuring 10,000 NVIDIA Blackwell GPUs, this AI factory will enable Europe's industrial leaders to accelerate manufacturing applications including design, engineering, simulation, digital twins and robotics. The AI factory will be built following the framework of the NVIDIA Omniverse Blueprint for AI factory design and operations. It will run NVIDIA CUDA-X libraries as well as NVIDIA RTX and NVIDIA Omniverse-accelerated workloads. Also in Germany, the JΓΌlich Supercomputing Centre hosts JUPITER, a supercomputer that will be Europe's first exascale system. Featuring about 24,000 NVIDIA GH200 Grace Hopper Superchips and NVIDIA Quantum-2 InfiniBand networking, JUPITER will double the computing capacity of the continent's previous most powerful publicly available supercomputer. Using NVIDIA AI platforms, the system will enable researchers to train massive large language models (LLMs) with over 100 billion parameters, increase the spatial resolution of climate and weather simulations, advance quantum computing research and streamline the creation of AI models for drug discovery. Another German research supercomputer, Blue Lion, will run on the NVIDIA Vera Rubin architecture, NVIDIA's upcoming AI platform. Built by Hewlett Packard Enterprise for the Leibniz Supercomputing Center (LRZ), it's expected to go live in the second half of 2026 to accelerate climate, physics and machine learning workflows. Enterprises and Startups Build Accelerated AI for Every Industry German companies -- of all sizes and in nearly every field -- are using NVIDIA technologies to unlock new AI capabilities and levels of acceleration. DeepL, in Cologne, is one of the leading language AI companies, with over 10 million monthly active users. To accelerate its AI development, the company is deploying an NVIDIA DGX SuperPOD with DGX GB200 systems, which will enable it to translate all content on the internet in just over 18 days -- a task that currently takes them 194 days of nonstop data processing. "As a leader in language AI, we rely on strong compute infrastructure to support research and development," said Jarek Kutylowsky, CEO and founder of DeepL. "The NVIDIA DGX SuperPOD system will enable us to enhance current and future products with the latest AI advancements and unlock new generative capabilities for our customers." Black Forest Labs, a leading generative AI startup based in Freiburg, Germany, developed the FLUX.1 AI model suite for text-to-image generation, including the state-of-the-art models FLUX.1 Kontext [pro] and FLUX1.1 [pro]. Its open-weights FLUX.1-dev image generator is included in the NVIDIA AI Blueprint for 3D-guided generative AI. German robotics and automation companies -- including Agile Robots, idealworks, Neura Robotics and sensor solution company SICK -- are integrating the NVIDIA Isaac platform for training, simulating and deploying robots and sensing solutions. Finanz Informatik, the digitalization partner of the German Savings Banks Finance Group, is systematically continuing the expansion and further development of its AI infrastructure in collaboration with NVIDIA by using NVIDIA AI infrastructure and NVIDIA AI Enterprise software to develop an AI assistant that will help employees and efficiently process banking data. In automotive, Mercedes-Benz is using Omniverse to create digital twins of its factories. In addition, its latest CLA sedan, launching now in Europe, is using NVIDIA's full-stack DRIVE AV software running on the NVIDIA DRIVE AGX platform. Others using NVIDIA technology are German automaker BMW Group and automotive supplier Continental. Motion technology company Schaeffler Group will use Omniverse to optimize robot-assisted manufacturing processes for automotive and industrial development. German enterprises adopting NVIDIA AI also include supply chain solutions company KION Group, legal AI startup Noxtua and cybersecurity company secunet Security Networks AG. AI Upskilling Trains Next Generation of Developers To spark an AI transformation at every level of a country's economy, it needs a vast community of AI developers. That's why Germany's investing in AI education and upskilling through nonprofits, university and industry collaborations. One such effort is led by appliedAI, Europe's largest initiative for the application of trusted AI, which recently launched a dedicated program for small and medium-sized German enterprises. The initiative aims to lower the threshold for AI adoption by providing smaller companies with access to state-of-the-art NVIDIA infrastructure and software -- including NVIDIA AI Enterprise -- as well as strategic guidance, hands-on training and connection to a broad ecosystem of partners. A key focus of the program is to support the scalable deployment of agentic AI systems capable of reasoning, planning and autonomous action. "The key to scaling AI in Germany lies in enabling our small- and medium-size enterprises," said Andreas Liebl, CEO of appliedAI. "With this new program, launched in close collaboration with NVIDIA, we are democratizing access to world-class AI technology and supporting Germany's economic backbone in mastering the digital transformation in a way that's sovereign, sustainable and scalable." In academic partnerships, NVIDIA is a technology partner for LRZ and Friedrich-Alexander University of Erlangen-Nuremberg, a research university that offers developers access to NVIDIA-accelerated infrastructure with user support, including workflow guidance and training. Both institutions have upskilled thousands of students and researchers through nearly 100 instructor-led workshops from the NVIDIA Deep Learning Institute. NVIDIA is also establishing a research center in Germany as part of the NVIDIA AI Technology Center program. The Bavarian AI hub, intended to be established in collaboration with the BayernKI consortium, will advance research in fields including digital medicine, stable diffusion AI and open-source robotics platforms to foster global collaboration. Germany's enterprises and systems integrators, too, are making it easier for anyone to harness AI acceleration. SAP is working with NVIDIA to integrate NVIDIA NIM microservices, including the new universal LLM NIM microservice, into its AI Foundation. Systems integrators including Accenture, adesso, Deloitte, Materna and T-Systems offer customers tools to support the development and deployment of AI applications using NVIDIA's full-stack AI platforms.
[3]
NVIDIA Builds World's First Industrial AI Cloud to Advance European Manufacturing
NVIDIA GTC Paris at VivaTech -- NVIDIA today announced it is building the world's first industrial AI cloud for European manufacturers. This Germany-based AI factory will feature 10,000 GPUs, including through NVIDIA DGXβ’ B200 systems and NVIDIA RTX PROβ’ Servers, and enable Europe's industrial leaders to accelerate every manufacturing application, from design, engineering and simulation to factory digital twins and robotics. In addition, NVIDIA announced that European manufacturers including BMW Group, Maserati, Mercedes-Benz and Schaeffler are transforming their end-to-end product lifecycles -- from simulated product design and factory planning to AI-driven operations and logistics -- by running NVIDIA-accelerated applications from software leaders such as Ansys, Cadence and Siemens. "In the era of AI, every manufacturer needs two factories: one for making things, and one for creating the intelligence that powers them," said Jensen Huang, founder and CEO of NVIDIA. "By building Europe's first industrial AI infrastructure, we're enabling the region's leading industrial companies to advance simulation-first, AI-driven manufacturing." Building Europe's First Industrial AI Cloud for Manufacturers NVIDIA is helping build an AI factory in Germany that will support industrial AI workloads for European manufacturers. The industrial AI factory will feature 10,000 GPUs, including through NVIDIA DGX B200 systems and NVIDIA RTX PRO Servers, and run NVIDIA CUDA-Xβ’ libraries, NVIDIA RTXβ’ and NVIDIA Omniverseβ’-accelerated workloads from leading software providers such as Siemens, Ansys, Cadence and Rescale. The AI factory will be built following the framework highlighted in the NVIDIA Omniverse Blueprint for AI factory design and operations. As part of this blueprint, Cadence's Reality Digital Twin Platform will be used to simulate and optimize the entire AI factory in a physically accurate virtual environment, enabling the engineering teams to build a smarter, more reliable facility. This investment will serve as a launchpad to accelerate AI development and adoption for European manufacturers in anticipation of AI gigafactories. Industrial Software Leaders Accelerate Products With NVIDIA Technologies Also announced at GTC Paris, leading independent software vendors such as Ansys, Cadence and Siemens are accelerating their product portfolios using NVIDIA AI-physics technologies, NVIDIA CUDA-X libraries, NVIDIA Grace Blackwell systems and the NVIDIA Omniverse platform. Siemens and NVIDIA announced an expansion of their partnership to accelerate the next era of industrial AI and digitalization and enable the factory of the future. The combination of Siemens' software and industrial automation leadership with NVIDIA's cutting-edge AI and accelerated computing is empowering organizations across sectors to optimize performance, boost productivity and meet sustainability goals through digitalization. Maserati is tapping into Siemens solutions powered by Omniverse application programming interfaces to interactively visualize airflow over car bodies and improve its manufacturing process. Ansys announced it is integrating Omniverse into Ansys Fluent, a high-fidelity fluid simulation software, and into Ansys AVxcelerate Sensors to improve scene building and visualization for autonomous vehicle simulations. Volvo Cars ran Ansys Fluent on NVIDIA Blackwell GPUs, accelerating fluid simulations by 2.5x for its EX90 electric vehicle. Using just eight NVIDIA Blackwell GPUs, Ansys accelerated solver speed by 2.5x compared with running the same simulation on 2,016 CPU cores and cost-equivalent hardware. Leonardo is also using Ansys Fluent on NVIDIA GPUs to accelerate designs and simulations on a range of its civil helicopters and the tiltrotors. Cadence recently announced that it is transforming AI-accelerated simulation for multiple markets, including industrial AI, with its new Cadence Millennium M2000 Supercomputer. Millennium is combined with industry-leading design software from Cadence and NVIDIA CUDA-X libraries with the NVIDIA Blackwell platform, including NVIDIA GB200 NVL72 systems, to accelerate silicon, system and drug design. Toulouse, France-based Ascendance is using Cadence Fidelity computational fluid dynamics software and NVIDIA GPUs to design the future of aviation, achieving a 20x reduction in simulation runtimes. European Leaders Reinvent Manufacturing From End to End Schaeffler is using AI factories and adopting NVIDIA's physical AI stack for digital factory planning, training humanlike robotic skills and scaling AI-powered automation across its 100+ manufacturing plants. By tapping into the Omniverse ecosystem using applications from Siemens, Schaeffler is creating digital twins of its facilities to enable efficient, resilient and safe production across the entire value chain. Schaeffler also works with partners such as Microsoft Azure Industrial Cloud and Wandelbots, using the latter's NOVA platform, which supports optimized simulation, integration and maintenance of robotic solutions, to integrate the Mega NVIDIA Omniverse Blueprint. Initial use cases are already progressing toward series maturity, with a goal to accelerate deployment by reducing integration costs. BMW Group is building digital twins of its production facilities, including through the use of NVIDIA Omniverse libraries. These plant-scale digital twins let BMW global production planning teams collaborate in real time, optimize the layout and design of complex manufacturing systems, and develop autonomous robot and vision AI applications prior to real-world deployment. BMW and Siemens are also accelerating the simulation of vehicle aerodynamics while reducing energy consumption and costs. Tests on NVIDIA Grace Blackwell and CUDA-X-accelerated Simcenter Star-CCM+ software have shown a speedup of 30x for transient aerodynamics simulations of entire vehicle geometries. Mercedes-Benz is using Omniverse to design and optimize factory assembly lines virtually, reducing downtime and improving efficiency across its factories worldwide.
[4]
NVIDIA CEO expected to announce Germany's largest AI factory project next week
As an Amazon Associate, we earn from qualifying purchases. TweakTown may also earn commissions from other affiliate partners at no extra cost to you. NVIDIA CEO Jensen Huang is jet-setting once again, after his trips to Taiwan and the Middle East recently, where Jensen will be flying to Germany to announce the country's biggest AI factory this week. NVIDIA has its eyes on the EU to expand its large-scale AI factory in Germany, where Jensen will meet with German Chancellor Friedrich Merz in Berlin to discuss the deal. In new reports, they suggest that the EU wants to catch up in the ever-evolving AI race with the rest of the world but there is a major hurdle: it has no other option but NVIDIA for advanced AI chips. Jensen is expected to unveil a new mega datacenter in Germany, using 100,000 of its high-end AI GPUs that come at a cost of around $30,000 per chip, which will see the project costing a total of around $3 billion for AI chips alone. The new deal would mean this is Germany's largest AI venture, and for NVIDIA it is another notch in its ever-growing AI dominance worldwide. Germany isn't the only stop for NVIDIA CEO Jensen Huang, who will be putting even more frequent flier miles onto his account, where Jensen is expected to visit the UK as well at an appearance at Tech Week, and then he's reportedly off to France, where he'll be the featured guest at Vivatech technology. We're to expect Jensen to announce multiple new projects that will be concentrated on AI infrastructure, which is where the bread and butter for NVIDIA is right now... AI, AI, AI.
[5]
Nvidia to build first industrial AI cloud in Germany
Nvidia will build its first AI cloud platform for industrial use in Germany, aiding firms like BMW and Mercedes. CEO Jensen Huang announced plans for 20 AI factories, expanded European partnerships, and breakthroughs in AI and quantum computing, signaling Europe's growing focus on AI infrastructure.Nvidia will build its first artificial intelligence cloud platform for industrial applications in Germany, CEO Jensen Huang said on Wednesday at the VivaTech conference in Paris. The technology, which will combine AI with robotics, will help carmakers such as BMW and Mercedes-Benz with processes from simulating product design to managing logistics. In a series of Europe-focused announcements, Huang outlined plans to expand technology centres in seven countries, open up Nvidia's compute marketplace for European companies, help AI model makers in several languages become more advanced, and aid in drug discovery by firms such as Novo Nordisk. "In just two years, we will increase the amount of AI computing capacity in Europe by a factor of 10," said Huang, in a nearly two-hour-long presentation in front of a packed audience. "Europe has now awakened to the importance of AI factories and the importance of the AI infrastructure," he said, laying out plans for 20 AI factories - large-scale infrastructure designed for developing, training, and deploying AI models - in Europe. While Europe has lagged the U.S. and China in developing AI technologies, the European Commission said in March it planned to invest $20 billion to construct four AI factories. Nvidia is also partnering with European AI champion Mistral to create AI computing that runs on 18,000 of the latest Nvidia chips for European businesses. "Sovereign AI is an imperative - no company, industry, or nation can outsource its intelligence", Huang said. Huang has been trotting the globe to highlight the importance of businesses adopting AI and the dangers of falling behind. On Monday, he said in London that Britain lacked the computing infrastructure to deliver the full potential of its AI research base. Beyond AI, Huang reiterated his view quantum computing technology is at an inflection point. Quantum calculations could crack problems that currently would demand years of processing from Nvidia's most advanced AI systems. Quantum computing will solve "some interesting problems" in the coming years, Huang added. The CEO made similar comments in March at Nvidia's annual software developer conference when he spoke about the potential of quantum computing, walking back comments he made in January when he said useful quantum computers were 20 years away.
[6]
Nvidia to build first industrial AI cloud in Germany
PARIS (Reuters) -Nvidia will build its first artificial intelligence cloud platform for industrial applications in Germany, CEO Jensen Huang said at the VivaTech conference in Paris on Wednesday. The technology, which will combine AI with robotics, will help carmakers such as BMW and Mercedes-Benz with processes from simulating product design to managing logistics. In a series of Europe-focused announcements, Huang outlined plans to expand technology centres in seven countries, open up Nvidia's compute marketplace for European companies, help AI model makers in several languages to become more advanced and aid in drug discovery by the likes of Novo Nordisk. "In just two years, we will increase the amount of AI computing capacity in Europe by a factor of 10," Huang said in a nearly two-hour-long presentation in front of a packed audience. "Europe has now awakened to the importance of AI factories and the importance of the AI infrastructure," he said, laying out plans for 20 AI factories - large-scale infrastructure designed for developing, training and deploying AI models - in Europe. Huang will be travelling to Berlin on Friday, said two people close to the matter, with one of the sources saying he is due to meet German Chancellor Friedrich Merz. Nvidia did not specify where it would build the plant, at what cost or when construction would start. A German location, however, would be an early win for Merz's new ruling coalition after Intel and Wolfspeed last year suspended plans to build local factories. While Europe has lagged behind the U.S. and China in developing AI technologies, the European Commission said in March that it planned to invest $20 billion to construct four AI factories. Nvidia is also partnering European AI champion Mistral to create AI computing that runs on 18,000 of the latest Nvidia chips for European businesses. "Sovereign AI is an imperative - no company, industry or nation can outsource its intelligence," Huang said. Huang has been travelling the globe to highlight the importance of businesses adopting AI and the dangers of falling behind. On Monday he said in London that Britain lacked the computing infrastructure to deliver the full potential of its AI research base. Beyond AI, Huang reiterated his view that quantum computing technology is at an inflection point. Quantum calculations could crack problems that would demand years of processing from Nvidia's most advanced AI systems. Quantum computing will solve "some interesting problems" in the coming years, Huang added. The CEO made similar comments in March at Nvidia's annual software developer conference, when he spoke about the potential of quantum computing, walking back comments he made in January when he said useful quantum computers were 20 years away. (Reporting by Supantha Mukherjee and Florence Loeve in Paris. Additional reporting by Christoph Steitz and Andreas Rinke. Writing by Nathan Vifflin in Amsterdam. Editing by Mark Potter and David Goodman)
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NVIDIA announces the construction of the world's first industrial AI cloud in Germany, featuring 10,000 GPUs to boost European manufacturing capabilities and AI adoption across various industries.
NVIDIA, the leading AI chip maker, has announced plans to construct the world's first industrial AI cloud in Germany. This ambitious project aims to revolutionize European manufacturing and accelerate AI adoption across various industries 123.
Source: Economic Times
The Germany-based AI factory will feature an impressive array of hardware:
This powerful infrastructure will enable European industrial leaders to advance simulation-first, AI-driven manufacturing processes 13. The facility will serve as a launchpad to accelerate AI development and adoption for European manufacturers, particularly in anticipation of AI gigafactories 3.
Several major European manufacturers are already set to benefit from this new AI cloud:
These companies are transforming their end-to-end product lifecycles, from simulated product design and factory planning to AI-driven operations and logistics 3. The industrial AI cloud will support a wide range of applications, including design, engineering, planning, simulation, robotics, and many others 1.
NVIDIA's CEO, Jensen Huang, emphasized the importance of AI factories in the modern manufacturing landscape: "In the era of AI, every manufacturer needs two factories: one for making things, and one for creating the intelligence that powers them" 13.
Source: NVIDIA Newsroom
The company's investment in Germany is part of a broader initiative to expand AI infrastructure across Europe. Huang announced plans for 20 AI factories in Europe, with the goal of increasing AI computing capacity tenfold within two years 5. This expansion includes:
NVIDIA is fostering partnerships with various European entities to drive AI innovation:
The establishment of this industrial AI cloud and the broader expansion of AI infrastructure in Europe signifies a growing focus on AI development in the region. The European Commission has previously announced plans to invest $20 billion in AI infrastructure 15.
Source: Tom's Hardware
NVIDIA's initiatives aim to support the development of sovereign AI applications in both public and private sectors, including for Germany's small- and medium-sized companies known as the Mittelstand 2. This push towards "sovereign AI" is seen as crucial for maintaining technological independence and fostering innovation within Europe.
As Jensen Huang stated, "Europe has now awakened to the importance of AI factories and the importance of the AI infrastructure" 5. With these developments, Europe is positioning itself to compete more effectively in the global AI race, potentially narrowing the gap with leaders like the United States and China.
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