NVIDIA Boosts Europe's AI Ambition With Local Models, Industry Partnerships, Next-Gen Infrastructure & More

As the artificial intelligence (AI) race between the United States and China intensifies, a new player is keen on positioning itself as a key contender on the global level. Yes, we’re talking about Europe!

From NVIDIA-Perplexity driving local AI model development to strategic alliances across industries, the continent is clearly signaling its intent to gain ground in the dynamic AI landscape.

So, here's a look at the impactful moves being made in Europe. Dive in!
 

NVIDIA And Perplexity Partner To Boost Local AI Models In Europe And The Middle East

NVIDIA and AI search startup Perplexity have joined forces with over a dozen AI companies across Europe and the Middle East in a major partnership.

Unveiled at a major AI conference in Paris, the collaboration aims to improve AI technologies and make them widely accessible to local businesses, helping build "sovereign AI" rooted in regional languages and cultures.

It also tackles a key challenge: the lack of quality training data for languages other than English and Chinese.


While AI in such dominant languages has led to advanced "reasoning models," progress has been much slower for languages with limited training resources.

Once localized models are trained and optimized, Perplexity will help distribute them across Europe, with businesses being able to deploy them for in-depth research and other business needs.

Perplexity CEO Aravind Srinivas envisions a future where "models are basically doing a few hours' worth of work in one single prompt," demonstrating the potential for significant efficiency gains. Srinivas also highlighted a strong market demand, noting, "Germany is already Perplexity's second largest market by revenue."

The partnership taps into NVIDIA’s advanced technologies, including its Nemotron post-training methods that use neural architecture search, reinforcement learning, and optimized synthetic data curated by NVIDIA.

These upgrades are built to improve model speed and efficiency, lowering operational costs by generating tokens faster during inference. The refined local models will be delivered as NVIDIA NIM microservices and hosted on European infrastructure through NVIDIA Cloud Partners (NCPs), ensuring both strong performance and data sovereignty.

This strategic alliance aims to integrate European AI models to offer "locally-optimized, culturally-aware AI to users worldwide while supporting Europe's digital sovereignty initiatives."

Backing this global push, top European institutions and AI groups, such as Barcelona Supercomputing Center (BSC), Bielik.AI, Dicta, H Company, Domyn, LightOn, NAISS and KBLab, the Slovak Republic, the Technology Innovation Institute (TII), University College London, the University of Ljubljana, and UTTER, are also working with NVIDIA to improve their models.

These local models, focused on national languages and cultures, will support the 24 official languages of Europe—offering insights rooted in real European perspectives with specialization on topics like French literature, German engineering, and Italian art.

Jensen Huang, the founder and CEO of NVIDIA, articulated the overarching vision by saying, "Europe’s diversity is its superpower — an engine of creativity and innovation. Together with Europe’s model builders and cloud providers, we’re building an AI ecosystem where intelligence is developed and served locally to provide a foundation for Europe to thrive in the age of AI—transforming every industry across the region."

This partnership aims to make AI more useful, accessible, and reliable to help European businesses leverage AI solutions that understand their language, culture, and way of working.

As NVIDIA strengthens its foothold in Europe with Perplexity, it’s also expanding its global impact by joining forces with Siemens to revolutionize industrial AI.
 

Siemens And NVIDIA Forge A Deeper Alliance To Power The Industrial AI Revolution

In a major contribution to the future of manufacturing, Siemens and NVIDIA expanded their partnership to bring more AI and digital innovation to the industry, working to build the "factory of the future."

This partnership reflects a shared goal: bringing advanced AI and high-speed computing into every stage of industrial work—from product design to the factory floor—helping manufacturers keep up with growing demands for speed, quality, and flexibility.


"Modern manufacturers face mounting pressure to boost efficiency, enhance quality and adapt swiftly to changing market demands," stated Jensen Huang, founder and CEO of NVIDIA, emphasizing the critical need for advanced technological solutions.

"Our partnership with Siemens is bringing NVIDIA AI and accelerated computing to the world’s leading enterprises and opening new opportunities for the next wave of industrial AI,” he added.

Echoing this vision, Roland Busch, the President and CEO of Siemens AG, emphasized the powerful role AI will play in transforming the future of the industry. "AI is fundamentally transforming manufacturing and infrastructure. Over the last three years, we’ve worked closely to merge AI models and high-performance computing, with industrial data and domain know-how," Busch remarked.

Busch spoke about the partnership, saying, "Together, Siemens and NVIDIA are now empowering companies across every industry to unlock the scaled impact of AI in the physical world."

This expanded partnership builds on their collaboration in 2022, combining Siemens Xcelerator technologies and the NVIDIA Omniverse to bring the industrial metaverse to life.

However, the new partnership goes beyond visualization, with Siemens and NVIDIA introducing a new level of industrial cybersecurity by using NVIDIA BlueField DPUs.

The duo is also transforming simulation and operational control by combining NVIDIA Blackwell GPUs with Siemens’ Simcenter Star-CCM+ software to dramatically improve simulation speeds. For example, BMW Group, working with Siemens, achieved a 30x speedup in vehicle aerodynamics simulations with this setup.

The impact on the shop floor is just as impressive. Siemens' new line of industrial PCs—certified for NVIDIA GPUs—is designed for tough environments and round-the-clock use, delivering up to 25x faster AI performance for robotics, quality checks, and predictive maintenance.

However, it’s not just industries that NVIDIA is helping reshape, but entire cities. Scroll on!
 

NVIDIA Unveils Smart City AI Blueprint To Power Europe’s Urban Future

With Europe’s urban population projected to double by 2050, the demand for smarter, more sustainable city planning has reached critical levels. In response, European cities are embracing digital twins and AI-powered agents to simulate real-world infrastructure and optimize everything from traffic flow to energy efficiency.

However, building these digital models has traditionally been complex, costly, and full of technical roadblocks.

Now, NVIDIA is changing that with the launch of the NVIDIA Omniverse Blueprint for smart city AI—a major step forward in simplifying and accelerating smart city development.


This new framework combines NVIDIA Omniverse, Cosmos, NeMo, and Metropolis into one powerful solution—bringing the benefits of physical AI to cities and their infrastructure.

It allows developers to build “SimReady” photorealistic digital twins of cities, simplifying design, testing, and deployment of AI agents to monitor and improve urban systems.

Leading companies from various industries are already embracing this new blueprint, with early adopters including XXII, AVES Reality, Akila, Blyncsy, Bentley, Cesium, K2K, Linker Vision, Milestone Systems, Nebius, SNCF Gares & Connexions, Trimble, and Younite AI.

The NVIDIA Omniverse Blueprint for Smart City AI includes:
 

• NVIDIA Omniverse for constructing physically accurate digital twins and conducting city-scale simulations.

• NVIDIA Cosmos for generating synthetic data at scale, crucial for post-training AI models.

• NVIDIA NeMo for curating high-quality data and utilizing it to train and fine-tune vision language models (VLMs) and large language models.

• NVIDIA Metropolis for building and deploying video analytics AI agents based on the NVIDIA AI Blueprint for video search and summarization (VSS), enabling the processing of vast amounts of video data and providing critical insights for optimizing business processes.

NVIDIA’s blueprint brings together its cutting-edge technology and partner expertise in one streamlined workflow, empowering a broad ecosystem of partners to build and deploy digital twins and AI agents for urban needs.

SNCF Gares & Connexions, which manages 3,000 stations in France and Monaco, showcased the blueprint's impact. Using a digital twin and AI agents powered by Omniverse, Metropolis, Akila, and XXII, it achieved 100% on-time preventive maintenance, cut downtime by 50%, and reduced energy use by 20% at Monaco-Monte-Carlo and Marseille stations.

NVIDIA's Blueprint marks a key milestone, providing a powerful framework to help cities worldwide become more sustainable, efficient, and responsive.

Apart from cities get smarter, Europe’s researchers are looking to upgrade networks with AI-powered innovations. NVIDIA’s cutting-edge tools are making waves in this domain, too!
 

European Researchers Build AI-Powered 6G Networks With NVIDIA Tools

European telecom leaders and research institutions are fast-tracking 6G development by building AI capabilities directly into its foundation. The development of this AI-native 6G network is fueled by NVIDIA’s powerful platforms and tools.


Since its launch last year, the NVIDIA 6G Developer Program has gained strong momentum, with over 200 telecom organizations in more than 30 European countries using it.

Groundbreaking 6G projects are already taking shape, such as the United Kingdom's Department for Science, Innovation and Technology partnering with NVIDIA to advance the nation's goals for AI in telecom.

As part of the deal, leading UK-based universities will gain access to NVIDIA AI Aerial and Sionna, crucial tools for research and development on AI-native wireless networks.

"This collaboration between the U.K. government and NVIDIA marks a pivotal step in our ambition to make the U.K. a global leader in the development of advanced connectivity technologies,” stated Sir Chris Bryant, Minister of State for Data Protection and Telecoms of the U.K.

“The use of AI in telecoms will make our networks more intelligent, efficient and reliable, and by equipping our world leading academia and researchers with cutting-edge AI tools and training, we will accelerate innovation that improves the everyday digital experience for people across the country,” he added.

In France, OpenAirInterface (OAI) and NVIDIA are collaborating to integrate OAI’s open-source virtualized and open RAN stack with GPU-accelerated NVIDIA AI Aerial- and Sionna-based systems.

Finland's University of Oulu is pioneering wireless channel estimation research with a real-time network digital twin, utilizing synthetic lidar data from NVIDIA Isaac Sim. This project facilitates the development of AI and machine learning features for integrated sensing and communications (ISAC), allowing the network to act as a sensor for the physical world.


Germany’s Fraunhofer HHI, for example, is using NVIDIA’s AI Aerial suite to explore neuromorphic wireless cognition for robotic control—improving connection quality with event-based camera sensing and neural network models.

Germany's Rohde & Schwarz is pushing the boundaries of AI-driven wireless research. In partnership with NVIDIA, they showcased a proof of concept at Mobile World Congress that combines digital twins and high-fidelity ray tracing with NVIDIA Sionna—offering a powerful setup for testing 5G-Advanced and 6G neural receivers.

Switzerland's ETH Zurich and NVIDIA are working on 6G projects related to AI-native network performance, including DUIDD (Deep Unfolded Iterative Detector Decoder), a machine learning-based architecture developed with NVIDIA Sionna to improve base station data transmission.

Europe’s strong legacy in wireless innovation—dating back to GSM—continues with major government-backed efforts like the Smart Networks and Services Joint Undertaking, 6G SNS, and the 6G Flagship project.

For these European projects, NVIDIA’s 6G research portfolio provides a comprehensive solution for developing, simulating, and deploying AI algorithms straight into wireless stacks for AI-native 6G capabilities.

Moreover, the NVIDIA Deep Learning Institute offers training, while the 6G Developer Program gives early access and community support, already drawing over 2,000 researchers worldwide.

As NVIDIA supports the push for 6G networks, its NVIDIA DGX Cloud Lepton is bringing powerful AI compute closer to local innovators.
 

NVIDIA DGX Cloud Lepton Fuels European AI With Global Compute Power

NVIDIA has announced a significant expansion of its NVIDIA DGX Cloud Lepton platform, an advanced AI platform designed to bridge European developers with a burgeoning global compute ecosystem.

This strategic move aims to provide unparalleled access to high-performance GPUs, crucial for building next-generation agentic and physical AI applications.

The DGX Cloud Lepton marketplace is rapidly growing, with cloud providers such as Mistral AI, Nebius, Nscale, Firebird, Fluidstack, Hydra Host, Scaleway, and Together AI now contributing to NVIDIA Blackwell and other NVIDIA architecture GPUs.


This expansion dramatically increases regional access to vital compute resources, with industry giants AWS and Microsoft Azure set to join the marketplace as its first large-scale cloud participants, alongside existing partners like CoreWeave, Crusoe, Firmus, Foxconn, GMI Cloud, Lambda, and Yotta Data Services.

Further democratizing accelerated computing for the global AI community, Hugging Face is integrating its new "Training Cluster as a Service" offering directly with DGX Cloud Lepton.

This seamless integration will give AI researchers and developers easy access to NVIDIA’s powerful compute infrastructure.

NVIDIA is also working with top European VC firms, such as Accel, Elaia, Partech, and Sofinnova Partners to empower startups. Eligible companies will get DGX Cloud Lepton marketplace credits, helping them access the accelerated computing they need to grow and scale locally.

"DGX Cloud Lepton is connecting Europe’s developers to a global AI infrastructure," stated Jensen Huang, founder and CEO of NVIDIA. "With partners across the region, we’re building a network of AI factories that developers, researchers and enterprises can harness to scale local breakthroughs into global innovation."

DGX Cloud Lepton fundamentally simplifies the acquisition of reliable, high-performance GPU resources within specific regions. It achieves this by unifying cloud AI services and GPU capacity from across the NVIDIA compute ecosystem onto a single, cohesive platform.

This design empowers developers to keep their data localized, addressing critical data governance and sovereign AI requirements. Beyond compute, the platform seamlessly integrates with NVIDIA's software suite, including NVIDIA NIM and NeMo microservices, and NVIDIA Cloud Functions.

This integration streamlines and accelerates every phase of AI application development and deployment, regardless of its scale. The marketplace also supports a new NIM microservice container, providing broad compatibility with large language models (LLMs), popular open LLM architectures, and over a million models hosted publicly and privately on Hugging Face.

Do you think NVIDIA’s moves will help democratize access to AI, compute, and critical infrastructure? Do you think its partnerships will help Europe become a top player in AI?

Let us know your thoughts in the comments section below!