Posts in category: nVidia AI

The European Union is investing over $200 billion into AI — but to gain the most value from this investment, its developers must navigate three key constraints: limited compute availability, data-privacy needs and safety priorities.

Unveiled at the NVIDIA GTC Paris keynote at VivaTech, a new suite of NVIDIA technologies is making it easier to address these challenges at every stage of the AI development and deployment cycle. Using these tools, enterprises can build scalable AI factories on premises or in the cloud to rapidly create secure, optimized sovereign AI agents.

The expanded NVIDIA Enterprise AI Factory validated design delivers a turnkey solution for sovereign AI — pairing NVIDIA Blackwell-accelerated infrastructure with a next-generation software stack.

At its core is a new NIM capability that lets enterprises spin up lightning-fast inference for a variety of open large language model (LLM) architectures — now supporting more than 100,000 public, private and domain-specialized model variants hosted on Hugging Face.

Layered on top are new NVIDIA AI Blueprints and developer examples. These guide developers on how to simplify the process of creating and onboarding AI agents while ensuring robust safety, enhanced privacy and continuous improvement.

With these new tools — which include the AI-Q and data flywheel NVIDIA Blueprints, plus a blueprint for AI safety using NVIDIA NeMo — European organizations can build, deploy and run AI factories at scale without compromising performance, control or compliance.

Major enterprises across the continent are already building NVIDIA-accelerated AI factories for virtually every industry. Some of the region’s largest finance companies, including BNP Paribas and Finanz Informatik, are scaling AI factories to run financial services AI agents to assist employees and customers. L’Oreal-backed startup Noli.com is working with Accenture to use its AI Refinery for its AI Beauty Matchmaker.  IQVIA is building AI agents to support healthcare services.

In the telecom industry, BT Group is optimizing customer service with ServiceNow and addressing anomalies in its network. Telenor is using its AI factory to run NVIDIA AI Blueprints for autonomous network configuration.

Boosting AI Agent Development With Enterprise AI Factories

The first step to create sovereign AI agents is model development — often using regional or enterprise-specific data tailored to specific use cases. To train, manage and scale these models, sovereign AI developers need AI factories.

On-premises sovereign AI infrastructure is especially valuable in regulated sectors such as government, finance and healthcare. The NVIDIA Enterprise AI Factory validated design helps these industries scale to support AI applications quickly with on-premises AI factories where every hardware and software layer is optimized.

It features NVIDIA Blackwell accelerated computing — including NVIDIA RTX PRO Servers — NVIDIA networking and NVIDIA AI Enterprise software to accelerate generative and agentic AI applications.

Several regional software providers, including Adaptive ML, ClearML, Dataloop, Deepchecks, deepset, Domino Data Labs, EnterpriseDB, Iguazio, Quantiphi, Teradata, Weaviate and Wiz, are now integrating the validated design to help developers build and deploy enterprise AI agents at scale.

The Enterprise AI Factory can also be used with software from regional partners such as aiOla, DeepL, Elastic, Photoroom, PolyAI, Qodo, Sana Labs, Tabnine and ThinkDeep.

NIM Accelerates LLM Deployment Across NVIDIA Infrastructure

When ready to deploy their AI models and agents, developers can tap NVIDIA NIM microservices to unlock accelerated, enterprise-ready inference across an expanding global suite of LLMs, including models tailored to specific languages and domains.

NIM microservices now support a vast collection of LLMs on Hugging Face. NIM automatically optimizes the model with its ideal inference engine — such as NVIDIA TensorRT-LLM, SGLang or vLLM — so that, with a few simple commands, users can rapidly deploy their preferred LLMs for high-performance AI inference on any NVIDIA-accelerated infrastructure.

“NIM makes it easy to deploy a broad range of LLMs from Hugging Face on NVIDIA GPUs,” said Jeff Boudier, vice president of product at Hugging Face. “With support for over 100,000 public and private LLMs hosted on the Hugging Face Hub, NIM makes the performance and diversity of open models available to enterprise AI agents.”

Enterprise model builders and software development tool creators AI21 Labs, Dream Security, IBM and JetBrains, as well as European research and innovation organizations Barcelona Supercomputing Center, Bielik.AI and UTTER are among those contributing specialized LLMs now available as NIM microservices.

These optimized models support 35 regional languages, including Arabic, Czech, Dutch, German, Hebrew, French, Polish, Portuguese and Spanish — expanding options for developers building AI agents with local language and cultural understanding.

NVIDIA is also working with several model builders and AI consortiums in Europe to optimize local models with NVIDIA Nemotron techniques.

Blueprints for Smarter, Safer AI Agents

To give developers a head start on building and onboarding powerful, secure AI models and agents, NVIDIA offers easy-to-follow blueprints and developer examples. These reference designs will enable Europe’s developers to tailor their models and agents to regional needs by connecting them to proprietary data, applying safety policies and continuously updating them for optimized performance.

The AI-Q NVIDIA Blueprint provides a guide for developing agentic systems capable of fast multimodal data extraction and powerful information retrieval. It includes the NVIDIA NeMo Agent toolkit, an open-source software library for evaluating and optimizing AI agents.

The NeMo Agent toolkit brings intelligence to agentic AI workflows and is compatible with the open standards including Model Context Protocol (MCP), an open-source framework for connecting AI agents to tools. This integration enables interoperability with tools served by MCP servers. The NeMo Agent toolkit is also integrated with agent frameworks, including CrewAI, LangChain, LlamaIndex, Microsoft Semantic Kernel and Weights & Biases.

The AI-Q blueprint offers a foundation for enterprises to build domain-specific AI agents that can use a wide range of enterprise data sources to deliver insights contextualized to an organization’s specific needs. NVIDIA partners including DDN, Dell Technologies, Hewlett Packard Enterprise, Hitachi Vantara, IBM, NetApp, Nutanix, Pure Storage, VAST Data and WEKA use AI-Q to connect their data platforms to AI agents.

The NVIDIA AI Blueprint for building data flywheels enables enterprises to improve their AI agents over time. It includes tools to turn inference data into new training and evaluation datasets — and tools to automatically surface optimized models while maintaining high accuracy.

Built on NVIDIA AI Enterprise, the blueprint pulls in production traffic and user feedback and triggers retraining and redeployment pipelines, creating a continuous feedback loop to enhance model performance. Powered by modular NVIDIA NeMo microservices, it offers flexible deployment options that run on any accelerated computing infrastructure, whether on premises or in the cloud.

The blueprint evaluates existing and new candidate models to help developers identify and deploy smaller, faster models that match or surpass the accuracy of larger ones. With this tool, enterprises can pick models that increase compute efficiency and decrease the total cost of ownership, enabling leaner, more cost-effective AI.

NVIDIA partners VAST Data, Weights & Biases and Iguazio — an AI platform company acquired by QuantumBlack, AI by McKinsey — are building on the NVIDIA AI Blueprint for data flywheels to integrate additional features, such as advanced monitoring capabilities, based on their software platforms.

To help enterprises safely adopt open-source models, the Agentic AI Safety blueprint is slated to offer a framework for evaluating and enhancing model safety across content, security and privacy dimensions.

It guides developers through NVIDIA-curated datasets and standardized evaluation tools to prepare models for production with post-training. The recipe also provides actionable safety and vulnerability metrics — covering jailbreaks, prompt injections and harmful content — enabling enterprises to accelerate deployment without compromising compliance or trust.

Enterprises Set to Integrate New NVIDIA Software

Global enterprises — including ActiveFence, Amdocs, Cisco, Cloudera, CrowdStrike, IBM, IQVIA, SAP, ServiceNow and Trend Micro — are adopting NVIDIA NIM microservices and blueprints to accelerate AI workflows in cybersecurity, financial services, healthcare, telecommunications and more.

Amdocs, a leading provider of software and services for communications and media providers, uses NVIDIA AI Enterprise — including NVIDIA NeMo and NVIDIA NIM microservices — as part of Amdocs’ amAIz suite of AI products and services. The company has used the NVIDIA AI Blueprint for building data flywheels in an LLMOps pipeline to enable efficient LLM fine-tuning.

Amdocs plans to integrate more NIM microservices to support AI agents for content creation, translation, network automation and customer service.

Global system integrators like Capgemini, Accenture, Deloitte, EY, Infosys, Tata Consultancy Services and Wipro are helping enterprises build their AI factories with full-stack NVIDIA software.

Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions.

See notice regarding software product information.

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Sovereign AI has sparked a new Italian renaissance around industrial transformation.

Supporting its design and manufacturing heritage, Italy is among leading European nations in its advanced development of sovereign AI.

Italy joins European nations in building domestic AI infrastructure with an ecosystem of NVIDIA Cloud Partners and telecom providers such as Fastweb.

Italian telecommunications company Fastweb has deployed Italy’s first NVIDIA DGX H100 supercomputer to support national AI infrastructure. With these resources, Fastweb is introducing an Italian language model to support generative AI applications — trained and running on its NVIDIA DGX AI supercomputer.

Model builder Domyn — which developed Domyn Small and Domyn Large — is collaborating with NVIDIA on a large AI factory powered by 5,760 NVIDIA Grace Blackwell GPUs.

Italy Backs Sovereign AI to Drive Business Advances

Also, the Italian Ministry of Enterprise and the Made in Italy government initiative are working with Domyn to further boost the nation’s sovereign AI capabilities with advanced reasoning models.

The combination of efforts to deploy AI factory resources for delivering transformative sovereign AI will allow European enterprises, startups and government organizations to securely develop, train and deploy agentic and physical AI applications. CINECA provides the National HPC service and is a EuroHPC pre-Exascale hosting site with over 15,000 GPUs in the Leonardo supercomputer. They have played a key role in scaling AI codes from Mistral and Domyn.

CINECA recently added the LISA supercomputer, which adds 1328 NVIDIA Hopper GPUs for AI for science applications.

CINECA has also been selected by EuroHPC to build a new AI factory, which will be operational in 2025. The new IT4LIA AI factory will provide new AI capabilities to both research computing and Italian startups.

“This agreement represents a strategic step toward strengthening Italy’s technological sovereignty and ensuring that our businesses have secure and competitive access to data management,” said Minister of Enterprise and Made in Italy Adolfo Urso. “The collaboration with top-tier partners such as NVIDIA and Domyn confirms the Government’s commitment in supporting high-level alliances to foster innovation and the competitiveness of the national production system.”

NVIDIA Collaborations With Italy Drive Industrial AI Gains

Vertiv, a global critical digital infrastructure and services provider that operates in Italy, is helping deliver AI-ready, pre-fabricated modular data center infrastructure for the Domyn Colosseum development, including power, cooling, management, monitoring, service and maintenance offerings. This data center aims to stand out with its modular setup and fast time to launch.

“Colosseum development stakeholders —- Domyn, World Wide Technologies, Vertiv and NVIDIA — leveraged NVIDIA Omniverse for collaboration and real-time simulations, reducing simulation times from months to hours. Vertiv manufacturing and factory integration processes reduce deployment time by up to 50%, compared with traditional data center builds,” said Karsten Winther, president of Vertiv, EMEA. “Together, we are setting new standards for flexibility and speed of deployment for critical AI factories.”

The AI data center from Domyn includes plans to use NVIDIA Llama Nemotron models and NVIDIA Nemotron techniques for building AI agent platforms with advanced open reasoning foundation models. Domyn’s supercomputer is designed to support the development of large-scale artificial intelligence solutions in the most highly regulated industries.

“AI is transforming Italy and industries worldwide, enabling organizations to innovate responsibly while upholding the highest standards of trust and compliance,” said Uljan Sharka, CEO of Domyn. “Working with NVIDIA, we are building AI infrastructure and models tailored to our unique values and regulatory needs to drive sustainable growth and position Italy as a leader in this transformative technology.”

Leonardo is accelerating its advanced physics for aerospace engineering with the NVIDIA Blackwell platform, boosting its helicopter design and simulation. The company also operates the Davinci-1 supercomputer. Davinci-1 assists in its advanced internal research and development, and is available for AI applications delivered by Leonardo Hypercomputing Continuum to customers.

Italian startup K2K is developing visual language models for real-time video analytics in cities, manufacturing and public infrastructure. K2K aims to deliver operational efficiencies in services through AI agents and physical AI, with vision language models for a range of applications such as waste management, visual pollution and traffic management.

Government Partnerships With NVIDIA Enable Upskilling 

Top universities — from Bologna and Torino to Milano and Roma — offer talent for Italy to lead the way with its sovereign AI strategy. NVIDIA has been collaborating through the NVIDIA AI Technology Center program with CINI Laboratorio AIIS (Artificial Intelligence and Intelligent Systems), a consortium of 50 Italian universities and research institutes, which has trained 3,000+ academics and co-published 50+ scientific papers to date.

Now, more than 200 AI projects are actively running on Leonardo versus about 20 in 2020.

In addition to collaborating with the Domyn development on Colosseum, the Ministry of Enterprise and the government’s Made in Italy initiative are seeking to prepare the workforces of the future. The parties aim to build an AI-skilled workforce capable of driving innovation that draws on NVIDIA technologies, Domyn’s expertise in AI models for highly regulated industries and the Ministry’s commitment to economic resilience and innovation. NVIDIA globally offers learning courses through its Deep Learning Institute to promote education and certification in AI.

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AI’s in fashion in France — as it is across the globe — with the technology already helping solve some of the country’s greatest challenges across research and innovation, transportation, manufacturing and many other industries. And this fashion’s here to stay.

France’s National Strategy for AI, part of the broader France 2030 investment plan, includes more than €109 billion in investments for the country’s AI infrastructure projects.

Such projects include a collaboration between NVIDIA and Mistral AI, an independent generative AI pioneer headquartered in France, to build a cutting-edge, end-to-end compute platform that answers the comprehensive compute infrastructure needs of enterprise customers.

Plus, a slew of the nation’s AI-native companies, startups and research centers are innovating with NVIDIA AI infrastructure.

These leading innovators are using the latest agentic and industrial AI technologies to bolster and accelerate work in areas ranging from advertising for skincare and beauty, spearheaded by L’Oréal and Accenture, to transportation and the electric grid.

With its decarbonized, abundant electricity supply, expanding high-voltage electric grid and more than 30 ready-to-use, low-carbon AI sites throughout the country, France is poised to become one of the world’s greenest leaders in artificial intelligence.

Below are some of the key players making AI development the nation’s hottest trend.

AI Infrastructure Development Across Industries

Mistral AI’s new compute platform will feature the latest-generation NVIDIA Grace Blackwell systems, with 18,000 Blackwell and Blackwell Ultra GPUs planned for deployment in the initial phase and additional plans to expand across multiple sites in 2026. The infrastructure will host Mistral AI’s cloud application service, which customers can use to develop and run AI applications with Mistral AI’s and other providers’ open-source models.

Mistral AI and NVIDIA are optimizing inference performance for several Mistral models with NVIDIA NIM microservices, including the new Mistral Nemotron model, exclusively available with the NVIDIA AI Enterprise software platform.

“We are forging Europe’s AI future in partnership with NVIDIA, combining strategic autonomy with our expertise in AI and NVIDIA’s most advanced technology,” said Arthur Mensch, CEO of Mistral AI. “This new infrastructure will provide enterprises and the public sector with Mistral’s AI expertise in building the best compute for AI, ensuring full control to businesses.”

In addition, Mistral AI and NVIDIA are collaborating with Bpifrance, the French national investment bank, and MGX, the UAE’s investment fund focused on AI and advanced technology, to establish Europe’s largest AI campus — to be located in the Paris region and expected to reach a capacity of 1.4 gigawatts. The campus will feature advanced NVIDIA compute infrastructure to support the full AI lifecycle, from model training and inference to deployment of generative and applied AI systems.

France-founded European cloud service provider Scaleway offers the European cloud’s largest compute capacity, powered by more than a thousand NVIDIA Hopper GPUs, with plans to offer NVIDIA Blackwell GPUs — which enable building and running real-time generative AI on trillion-parameter large language models at up to 25x less cost and energy consumption than its predecessor. As a European provider, Scaleway provides domestic infrastructure that ensures access and compliance with EU data protection laws — critical to businesses with a European footprint.

Mistral AI and Scaleway plan to participate in the DGX Cloud Lepton marketplace to provide startups and developers access to compute infrastructure.

Orange Business, the enterprise division of Orange, one of Europe’s leading telco operators, has joined the NVIDIA Cloud Partner program to accelerate the development of enterprise-grade agentic AI, including its innovative Live Intelligence platform, which empowers companies of all sizes to securely deploy generative AI at scale. Those AI solutions tap into the Orange Business Cloud Avenue platform, built on high-performance NVIDIA infrastructure.

AI Deployments, From Beauty to Transportation

Paris-based beauty company L’Oréal Groupe’s generative AI content platform CREAITECH uses the NVIDIA AI Enterprise platform to develop and deploy 3D digital renderings of L’Oréal’s products for faster, more creative development of marketing and advertising campaigns. Eighty percent of L’Oréal’s production in France is exported globally, helping make cosmetics the third-largest contributor to national economic growth.

Learn more about how L’Oréal and other leading retailers are using NVIDIA technologies to redefine their operations.

The France public sector uses NVIDIA technologies for use cases ranging from transportation and public safety in cities to cybersecurity in schools and better fraud detection at the French Ministry of the Economy, Finance, and Industrial and Digital Sovereignty, which oversees national funds and the economic system. Local governments have deployed solutions in generative and vision AI, document analytics and more through NVIDIA partners Dell Technologies, Hewlett Packard Enterprise, LightOn, SCC, ThinkDeep, XXII and others.

France’s national rail operator SNCF Gares&Connexions, which operates internationally and has a network of 3,000 train stations across France and Monaco, is developing digital twins to simulate railway scenarios.

Powered by NVIDIA Omniverse, Metropolis and ecosystem partners Akila and XXII, SNCF Gares&Connexions’ AI deployment, including at the Monaco-Monte-Carlo station, has helped SNCF Gares&Connexions achieve a 100% on-time preventive maintenance completion rate, a 50% reduction in downtime and issue response time, as well as a 20% reduction in energy consumption.

Schneider Electric — a French multinational company driving the digital transformation of energy management and automation — has introduced publicly available engineered reference designs for optimizing performance, scalability and energy efficiency of NVIDIA-powered AI data centers. In addition, AVEVA, a subsidiary of Schneider Electric, is connecting its digital twin platform to NVIDIA Omniverse to deliver a unified virtual simulation and collaboration environment for designing and deploying optimized data centers.

Electricité de France, commonly known as EDF, the French national electricity company, has partnered with NVIDIA to transition its open-source code_saturne computational fluid dynamics (CFD) application, developed by EDF R&D, onto accelerated computing platforms for improved performance in power and industrial applications. This collaboration, which also involves NVIDIA developer partner ANEO, taps into NVIDIA Nsight tools to iteratively adapt the CFD code for optimized GPU operation.

AI-Native Companies Build Models, Cloud Services to Accelerate Next Industrial Revolution

To accelerate France’s AI-driven transformation, NVIDIA is partnering with the country’s leading model builders and AI-native companies to support large language models in various languages including Arabic, French, English, Italian, German, Polish, Spanish and Swedish.

H Company and LightOn are tailoring and optimizing their models with NVIDIA Nemotron techniques to maximize cost efficiency and accuracy for enterprise AI workloads including agentic AI.

Plus, a new Hugging Face integration with DGX Cloud Lepton will let companies fine-tune their AI models on local NCP infrastructure.

Startups Develop Breakthroughs With NVIDIA AI Infrastructure

France has a rich ecosystem of more than 1,000 AI startups pursuing breakthroughs in healthcare, quantum computing and more.

Alice & Bob, a member of the NVIDIA Inception program for cutting-edge startups, is building quantum computing hardware and has integrated the NVIDIA CUDA-Q hybrid computing platform into its quantum simulation library, called Dynamiqs. This allows the company to accelerate its qubit design process with GPUs. Adding NVIDIA acceleration on top of Dynamiqs’ advanced optimization capabilities can increase the efficiency of these challenging qubit-design simulations by up to 75x.

Quandela, a leader in full-stack photonic quantum computing, has announced MerLin, a quantum machine learning programming framework that uses NVIDIA CUDA-Q to deliver high-performance simulations for photonic quantum circuits. This enables developers to build new models and assess the performance of candidate algorithms on simulations of larger quantum processors.

Moon Surgical, a robotic surgery company and also an NVIDIA Inception member, is using the NVIDIA Holoscan and IGX platforms to power its Maestro System for minimally invasive surgery, a technique where surgeons operate through small incisions with an internal camera and instruments. Moon Surgical and NVIDIA are also collaborating to bring generative AI features to the operating room using Maestro and Holoscan.

Research Centers Bring Future of Technology Closer to Reality

As the country with the world’s third largest number of AI researchers, France supports a vast spectrum of projects and centers advancing supercomputing, AI education and other initiatives to make the future of technology possible.

The Jean Zay supercomputer, operated by IDRIS, a national computing centre for the CNRS (France’s National Centre for Scientific Research), is a French AI flagship serving research academia and startups users. Built by Eviden and powered by NVIDIA, the supercomputer accelerates the work of university and public sector researchers, developers and data scientists across France.

Acquired by the French government through intermediary French civil company GENCI, the supercomputer integrates NVIDIA accelerated computing, including more than a thousand NVIDIA Hopper GPUs.

It supports more than 150 startups — including Hugging Face, Mistral AI, H Company and LightOn — and powered 1,400+ AI projects in 2024. Jean Zay is among the most eco-efficient machines in Europe, thanks to the accelerated technologies and core warm-water cooling of the computing servers. In addition, the supercomputer’s waste heat is reused to help heat more than 1,500 homes in the Saclay area, to the southwest of Paris.

Learn more about the latest AI advancements in France and other countries at NVIDIA GTC Paris, running through Thursday, June 12, at VivaTech. Watch the keynote from NVIDIA founder and CEO Jensen Huang, and explore GTC Paris sessions.

See notice regarding software product information.

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AI factories are producing intelligence at unprecedented scale, showing massive potential to fuel economic growth and innovation. But to tap that intelligence, countries need secure, sovereign AI infrastructure.

As trusted providers of critical connectivity infrastructure, forming the backbone of the modern digital world, telecommunications providers are uniquely positioned to deliver AI services due to their extensive infrastructure and geographic reach. Eighteen telco-led AI factories powered by NVIDIA now span five continents.

At NVIDIA GTC Paris at VivaTech, NVIDIA today announced collaborations with leading telecommunications companies Orange, Fastweb, Swisscom, Telefónica and Telenor to develop and expand sovereign AI factories and edge infrastructure across Europe. This will equip European enterprises across industries with secure, accelerated computing infrastructure to train and deploy customized AI models and agentic AI services.

NVIDIA’s full-stack technologies allow telco operators to go beyond traditional connectivity services to AI as a service, driving generative and agentic AI adoption and empowering entire nations to build localized models with secure sovereign AI infrastructure.

Orange Business Enables Trusted AI Solutions in Europe

Orange Business, the enterprise division of the Orange Group, one of Europe’s leading telco operators, has joined the NVIDIA Cloud Partner program to accelerate the development of enterprise-grade agentic AI, including its innovative Live Intelligence platform, which empowers companies of all sizes to securely deploy generative AI at scale. Those AI solutions tap into Orange Business Cloud Avenue platform, built on high-performance NVIDIA infrastructure.

This will allow enterprises across Europe to access AI infrastructure, train custom AI models and deploy secure generative AI applications through Orange Business’ Live Intelligence platform — as well as introduce new revenue streams for telcos, transforming employee, customer and operational experiences.

Orange has also applied AI to its own operations, with 73,000 employees now regularly using the solution to streamline tasks, develop software, automate support procedures and enhance decision-making. These cases will benefit from Orange’s sovereign AI infrastructure — supporting employees in France, as well as across Europe and Africa, and handling over 30,000 requests daily.

Telenor Pioneers Secure and Sustainable AI for Norway 

Building on its creation of Norway’s first sovereign AI infrastructure, Telenor today announced it is significantly expanding capacity to meet rising demand from both internal teams and external customers. With plans to add a new AI data center that will run entirely on renewable energy and contribute surplus energy back to the grid, Telenor is helping Norway advance its mission of secure, sovereign and sustainable AI development.

Since its launch, Telenor’s AI infrastructure has helped drive AI adoption across Norway by powering digital services for the public sector, industrial automation and local language models. This includes hosting BabelSpeak, an AI-driven translation tool developed by Capgemini that offers near-real-time, voice-to-voice multilingual translation capabilities in nearly 100 languages and is now being piloted by Norwegian Red Cross. Capgemini has been a key partner for Telenor to build Norway’s first sovereign and secure AI cloud service in collaboration with NVIDIA.

In addition, Telenor is integrating NVIDIA AI Enterprise software to accelerate enterprise adoption and deployment of generative and agentic AI applications, as well as its own internal innovation efforts, such as in network automation.

“Telenor is leading the way in AI adoption in the telecom industry, pioneering innovation in nearly every aspect of the business,” said Cathal Kennedy, acting group chief technology officer of Telenor. “By combining robust infrastructure with advanced AI capabilities, we’re setting new standards for efficiency and sustainability, and ensuring production of intelligence remains in Norway.”

Swiss AI Platform Powers Enterprises

Swisscom recently announced GenAI Studio — a new service built on its Swiss AI Platform that allows enterprises to develop and run AI agents quickly and securely.

The company also launched the AI Work Hub and Model catalog, enabling enterprises across Switzerland to build complex AI projects, customize models and deploy agentic AI at scale and speed.

The new enterprise AI services are hosted on Swisscom’s sovereign AI factory, built on NVIDIA DGX SuperPOD. This allows for fast and easy scaling of capacity to serve Switzerland’s rapidly growing demand for AI services and inference, expanding the company’s revenue opportunities.

Telefónica Empowers Spanish Enterprises at the Edge

Telefónica is piloting distributed edge AI infrastructure across Spain to bring advanced computing closer to where data’s generated and where local AI inference is needed.

The company will be deploying hundreds of NVIDIA GPUs as part of its edge AI fabric. This will help ensure that AI services are delivered with low latency, reliability and strong privacy protections, and that trusted information stays within national borders.

The edge AI solution incorporates NVIDIA AI Enterprise software and NVIDIA NIM microservices, enabling secure, scalable and enterprise-grade AI applications for key sectors such as government and financial services.

Fastweb Innovates for Italy With New Language Model

Fastweb built MIIA — one of the first Italian language models to support generative AI applications — trained and running on its NVIDIA DGX AI supercomputer.

Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore the GTC Paris telecom special address and industry panel with Orange, Swisscom and Telenor. 

Learn more about sovereign AI in telecom.

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Cisco and NVIDIA are helping set a new standard for secure, scalable and high-performance enterprise AI.

Announced today at the Cisco Live conference in San Diego, the Cisco AI Defense and Hypershield security solutions tap into NVIDIA AI to deliver comprehensive visibility, validation and runtime protection across entire AI workflows. This builds on the Cisco Secure AI Factory with NVIDIA unveiled at the NVIDIA GTC conference in March.

As AI moves to the center of every industry, enterprises need more than just speed — they need trust. From data ingestion and model training to deployment and inference, Cisco Secure AI Factory with NVIDIA can provide continuous monitoring and protection of AI workloads.

Cisco AI Defense and Hypershield integrate with NVIDIA AI for high-performance, scalable and more trustworthy AI responses for running agentic and generative AI workloads. The NVIDIA Enterprise AI Factory validated design now includes Cisco AI Defense and Hypershield to safeguard every stage of the AI lifecycle — which is key to helping enterprises confidently deploy AI at scale.

Open models post-trained with NVIDIA NeMo and safeguarded with NVIDIA Blueprints can now be validated and secured using AI Defense. Cisco security, privacy and safety models run as NVIDIA NIM microservices to optimize inference performance for production AI. Cisco AI Defense provides runtime visibility and monitoring of AI applications and agents deployed on the NVIDIA AI platform.

Cisco Hypershield will soon work seamlessly with NVIDIA BlueField DPUs and the NVIDIA DOCA Argus framework, bringing pervasive, distributed security and real-time threat detection to every node of the AI infrastructure.

Whether their workloads are running in a data center or at the edge, organizations can benefit from this real-time threat detection at the network, server and application layers. Together, NVIDIA and Cisco are enabling enterprises to maintain zero-trust security across distributed AI environments, no matter where data and workloads reside.

Maximizing AI Networking Performance

AI workloads are data hungry and latency sensitive. To meet these demands, Cisco and NVIDIA have enhanced AI networking with:

• Cisco Intelligent Packet Flow: Dynamically steers traffic using real-time telemetry and congestion awareness, optimizing performance across AI fabrics.
• NVIDIA Spectrum-X: This AI-optimized Ethernet platform delivers high-throughput, low-latency connectivity with advanced routing and congestion control.
• End-to-End Visibility: Unified monitoring across networks, GPUs and distributed AI jobs means issues are detected proactively — before they impact performance or security.

Expanded AI PODs for Flexible, Scalable AI

To support the evolving needs of enterprise AI, Cisco is expanding its AI PODs — modular, validated building blocks for diverse AI workloads, including training, fine-tuning and inference. This flexibility lets organizations scale AI initiatives efficiently and securely, whether deploying a handful of models or running massive, distributed AI factories.

The new NVIDIA RTX PRO 6000 Blackwell Server GPU is now available for order with Cisco UCS C845A M8 servers, providing exceptional performance for next-generation AI applications.

Learn more about the Cisco Secure AI Factory with NVIDIA, a blueprint for organizations to confidently scale AI, accelerate innovation and protect their most valuable assets.

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With a more detailed simulation of the Earth’s climate, scientists and researchers can better predict and mitigate the effects of climate change.

NVIDIA’s bringing more clarity to this work with cBottle — short for Climate in a Bottle — the world’s first generative AI foundation model designed to simulate global climate at kilometer resolution.

Part of the NVIDIA Earth-2 platform, the model can generate realistic atmospheric states that can be conditioned on inputs like the time of day, day of the year and sea surface temperatures. This offers a new way to understand and anticipate Earth’s most complex natural systems.

The Earth-2 platform features a software stack and tools that combine the power of AI, GPU acceleration, physical simulations and computer graphics. This helps enable the creation of interactive digital twins for simulating and visualizing weather, as well as delivering climate predictions at planetary scale. With cBottle, these predictions can be made thousands of times faster and with more energy efficiency than traditional numerical models, without compromising accuracy.

Leading scientific research institutions — including the Max-Planck-Institute for Meteorology (MPI-M) and Allen Institute for AI (Ai2) — are exploring cBottle to compress, distill and turn Earth observation data and ultra-high-resolution climate simulations into a queryable and interactive generative AI system.

cBottle was field-tested at the World Climate Research Programme Global KM-Scale Hackathon. The event was organized across eight countries and 10 climate simulation centers with the goal of advancing the analysis and development of high-resolution Earth-system models and broadening access to high-resolution high-fidelity climate data.

Revolutionizing Climate Modeling With AI

Climate informatics is traditionally time-, labor- and compute-intensive, requiring sophisticated analysis of tens of petabytes of data stores.

cBottle, incorporating NVIDIA GPU acceleration and the highly optimized NVIDIA Earth-2 stack, uses advanced AI to compress massive amounts of climate simulation data. It’s capable of reducing petabytes of data by up to 3,000x for an individual weather sample — translating to a 3,000,000x data size reduction for a collection of 1,000 samples.

cBottle was trained on high-resolution physical climate simulations, as well as measurement-constrained estimates of observed atmospheric states over the past 50 years.

The model can fill in missing or corrupted climate data, correct biased climate models, super-resolve low-resolution climate data and synthesize information based on patterns and previous observations. cBottle’s extreme data efficiency enables training on just four weeks of kilometer-scale climate simulations.

Global Collaboration for Planetary-Scale Impact

Leading climate institutions are using NVIDIA Earth-2 to advance climate simulation.

MPI-M has tapped Earth-2 to pioneer kilometer-scale climate modeling, using its ICON Earth system model. Harnessing NVIDIA GPU acceleration and performance optimizations, MPI-M researchers led a team that performed the first ever kilometer-scale simulations of the full Earth system, simulating and visualizing Earth’s climate with remarkable detail.

“In the face of a rapidly changing climate, the latest progress with Earth-2 represents a transformative leap in our ability to understand, predict and adapt to the world around us,” said Bjorn Stevens, director of the Max Planck Institute for Meteorology. “By harnessing NVIDIA’s advanced AI and accelerated computing, we’re building a digital twin of the planet — marking a new era where climate science becomes accessible and actionable for all, enabling informed decisions that safeguard our collective future.”

Ai2 and NVIDIA are collaborating to accelerate and enhance climate modeling using the Earth-2 AI stack and GPUs, focusing on making climate simulations faster, more energy efficient and more accessible at high resolutions. This is critical for scientific research and practical applications in weather prediction and climate resilience.

“Planning for climate change challenges societies worldwide,” said Christopher Bretherton, senior director of climate modeling at Ai2. “cBottle is an elegant use of generative AI and an exciting new resource for efficiently simulating local extreme weather, such as flooding rains or hot dry winds that spread wildfire.”

Using cBottle in NVIDIA Earth-2, developers can build climate digital twins to interactively explore and visualize kilometer-scale climate data, as well as predict possible scenarios at low latency and with high throughput.

The cBottle foundation model is available for early access. Climate AI researchers interested in retraining the model can access cBottle codebase from GitHub and the preprint on arXiv.

Watch the NVIDIA GTC Paris at VivaTech keynote from NVIDIA founder and CEO Jensen Huang, as well as the special address on NVIDIA CUDA-X libraries, to learn more.

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Germany’s Leibniz Supercomputing Centre, LRZ, is gaining a new supercomputer that delivers roughly 30x more computing power compared with SuperMUC-NG, the current LRZ high-performance computer. It’s called Blue Lion. And it will run on the NVIDIA Vera Rubin architecture.

That’s new. Until now, LRZ — part of the Gauss Centre for Supercomputing, Germany’s leading HPC institution — had only said its next system would use “next-generation” NVIDIA accelerators and processors.

We’re confirming it: That next generation is Vera Rubin, NVIDIA’s upcoming platform for AI and accelerated science.

If the name sounds familiar, it should. Last month, Lawrence Berkeley National Lab unveiled Doudna, its next flagship system that will also be powered by Vera Rubin.

Two continents. Two systems. Same architecture.

What Is Vera Rubin?

Vera Rubin is a superchip. It combines:

• Rubin GPU — the successor to NVIDIA Blackwell
• Vera CPU — NVIDIA’s first custom CPU, built to work in lockstep with the GPU

Together, they form a platform built to collapse simulation, data and AI into a single, high-bandwidth, low-latency engine for science. It combines shared memory, coherent compute and in-network acceleration — and is launching in the second half of 2026.

Blue Lion is built to meet it.

About the System

HPE is building Blue Lion. It will use next-generation HPE Cray technology and feature NVIDIA GPUs in a system equipped with powerful storage and interconnect that harnesses HPE’s 100% fanless direct liquid-cooling systems architecture, which uses warm water delivered through pipes to efficiently cool the supercomputer.

It’s built for researchers working on climate, turbulence, physics and machine learning,  with workflows that blend classic simulation and modern AI. Jobs can scale across the entire system. Heat from the racks will be reused to warm nearby buildings.

And it’s not just local. Blue Lion will support collaborative research projects across Europe.

About the Doudna Supercomputer

Meanwhile, in Berkeley, California, Doudna, the U.S. Department of Energy’s next supercomputer, will also run Vera Rubin. Built by Dell Technologies, the supercomputer is named for Nobel laureate and CRISPR pioneer Jennifer Doudna and will serve over 11,000 researchers when it launches next year.

Doudna will be wired for real-time workflows and optimized for science results per joule of energy. Data streams in from telescopes, genome sequencers and fusion experiments and lands directly in the system via NVIDIA Quantum-X800 InfiniBand networking. Processing starts instantly. Feedback loops are live.

It’s designed to advance fusion energy, materials discovery and biology faster. Compared with its predecessor, it’s expected to deliver 10x more application performance, using just 2-3x the power. That’s 3-5x better performance per watt.

Why This All Matters

Blue Lion and Doudna aren’t just big machines. They’re signals of what comes next: a shift in how high-performance systems are designed, used and connected.

AI is no longer an add-on. Simulation isn’t a silo. Data isn’t parked — it moves. Science is becoming a real-time discipline. The systems that power it need to keep up.

Vera Rubin is built for that.

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AI isn’t waiting. And this week, neither is Europe.

At London’s Olympia, under a ceiling of steel beams and enveloped by the thrum of startup pitches, it didn’t feel like the start of a conference — it felt like the start of something bigger.

NVIDIA founder and CEO Jensen Huang joined U.K. Prime Minister Sir Keir Starmer to open London Tech Week, a moment that signaled a clear shift: what used to be the domain of ambitious technology startups is now national policy — backed by investments in people, platforms and partnerships.

AI is transforming the entire ecosystem, everything from healthcare and manufacturing to scientific research, Huang told the audience. “I make this prediction – because of AI, every industry in the UK will be a tech industry,” Huang said.

Starmer added that his team is looking at every single department in government to see how AI can be used.

Starmer’s goal for the session was clear: to bring to life the real-world impact of the AI revolution and how AI is changing everyday lives for U.K. citizens.

“The U.K. has one of the richest AI communities of anywhere on the planet, the deepest thinkers, the best universities… and the third largest AI capital investment of anywhere in the world,”  Huang said.

“So the ability to build these AI supercomputers here in the U.K. will naturally attract more startups, it will naturally enable the rich ecosystem of researchers here to do their life’s work,” Huang added.

To that end, NVIDIA will continue to invest in the U.K. “We’re going to start our AI lab here… we’re going to partner with the UK to upskill the ecosystem of developers into the world of AI,” Huang added.

All of these investments will build on one another. “Infrastructure enables more research, more research, more breakthroughs, more companies,” Huang said. That flywheel will start taking off; it’s already quite large.”

UK on the Move: Momentum in Action

This wasn’t just a symbolic handshake. It marked the U.K.’s acceleration toward embedding AI at the core of its economic strategy. A major announcement from Prime Minister Starmer confirmed the U.K. will invest ~£1 billion in AI research compute by 2030, with investments commencing this year.

• A national AI skills initiative supported by NVIDIA aims to train developers in advanced AI skills.
• A new NVIDIA AI Technology Center in the U.K. is launching to accelerate research in embodied AI, material science and earth system modeling.
• The U.K.’s Financial Conduct Authority is using NVIDIA tech to power its innovation sandbox for safe and secure AI experimentation.
• The U.K. government and NVIDIA also announced a new initiative to accelerate AI-native 6G research and deployment.
• And further cementing the U.K.’s compute power, Isambard AI, the U.K.’s fastest AI supercomputer powered by 5.5k GH200s, is set to be fully operational this summer.

“We need to showcase what we have,” Starmer said. “This is a two-way conversation” between the government and industry.

Starmer underscored the U.K.’s “sovereign AI ambitions,” emphasizing that AI is not just about technology, but about codifying a nation’s culture, common sense and history.

And the movement isn’t confined to the U.K. Across Europe, governments are no longer debating whether AI matters. Now the question in every capital isn’t why AI, it’s how soon can we deploy it at scale?

• In Sweden, NVIDIA is working with Wallenberg Investments, AstraZeneca, Ericsson, Saab and SEB to build the country’s first national AI infrastructure, anchored by the NVIDIA Grace Blackwell platform.
• In Germany, the Leibniz Supercomputing Centre is building Blue Lion — a €250 million supercomputer based on the new NVIDIA Vera Rubin architecture, designed for real-time AI, simulation and science.
• In France, a joint venture between MGX, Bpifrance, Mistral AI and NVIDIA will establish Europe’s largest AI Campus in the Paris region, a 1.4 GW facility aiming to build sovereign and sustainable AI infrastructure for the continent.

“In the last 10 years, AI has advanced 1 million times,” Huang said. “The speed of change is incredible.”

NVIDIA’s commitment to the U.K. is evident, with over 1,700 Inception members and 500 employees across four offices.

NVIDIA is actively building the ‘AI factories of the future’ with leading U.K. companies.

And it’s powering the next generation of startups and scale-ups, from Basecamp Research to Wayve.

What Comes Next: NVIDIA GTC Paris at VivaTech

Next, the story moves to Paris, where Jensen Huang will headline NVIDIA GTC Paris live from VivaTech.

June 11 | 11:00 a.m. CEST | Dôme de Paris
VivaTech or GTC Paris pass required to attend
Livestream available globally, free

Expect news on NVIDIA Blackwell, sovereign AI initiatives, new regional partnerships and how European innovators are turning intent into infrastructure with NVIDIA.

One Week. One Story. One Start.

From Downing Street to the Dôme de Paris, this week reads less like a schedule and more like a strategy.

This isn’t just a collection of conferences. It’s a continental shift — where Europe is aligning talent, policy and compute to lead in AI.

This is just chapter one. But the story is already racing ahead.

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U.K. Prime Minister Keir Starmer’s ambition for Britain to be an “AI maker, not an AI taker,” is becoming a reality at London Tech Week.

With NVIDIA’s support, the U.K. is building sovereign compute infrastructure, investing in cutting-edge research and skills, and fostering AI leadership across sectors.

As London Tech Week kicks off today, NVIDIA and some of Britain’s best companies are convening and hosting the first U.K. Sovereign AI Industry Forum.

The initiative unites leading U.K. businesses — including founding members Babcock, BAE Systems, BT, National Grid and Standard Chartered — to strengthen the nation’s economic security by advancing sovereign AI infrastructure and accelerating the growth of the U.K. AI startup ecosystem.

“We have big plans when it comes to developing the next wave of AI innovations here in the U.K. — not only so we can deliver the economic growth needed for our Plan for Change, but maintain our position as a global leader,” U.K. Secretary of State for Science, Innovation and Technology Peter Kyle said. “Central to that is making sure we have the infrastructure to power AI, so I welcome NVIDIA setting up the U.K. Sovereign AI Industry Forum — bringing together leading British businesses to develop and deploy this across the U.K. so we can drive growth and opportunity.”

The U.K. is a global AI hub, leading Europe in newly funded AI startups and total private AI investment through 2024. And the sector is growing fast, backed by over $28 billion in private investment since 2013.

And AI investment benefits the whole of the U.K.

According to an analysis released today by Public First, regions with more AI and data center infrastructure consistently show stronger economic growth. Even a modest increase in AI data center capacity could add nearly £5 billion to national economic output, while a more significant increase, for example, doubling access, could raise the annual benefit to £36.5 billion.

Responding to this opportunity, cloud provider Nscale announced at London Tech Week its commitment to deploy U.K. AI infrastructure with 10,000 NVIDIA Blackwell GPUs by the end of 2026. This facility will help position the U.K. as a global leader in AI, supporting innovation, job creation and the development of a thriving domestic AI ecosystem.

And cloud provider Nebius is continuing the region’s momentum with the launch of its first AI factory in the U.K. It announced it’s bringing 4,000 NVIDIA Blackwell GPUs online, making available scalable, high-performance AI capacity at home in the U.K. — to power U.K. research, academia and public services, including the NHS.

Mind the (Skills) Gap

AI developers are the engine of this new industrial revolution. That’s why NVIDIA is supporting the U.K. government’s national skills drive by training developers in AI.

To support this goal, a new NVIDIA AI Technology Center in the U.K. will provide hands-on training in AI, data science and accelerated computing, focusing on foundation model builders, embodied AI, materials science and earth systems modeling.

Beyond training, this collaboration drives cutting-edge AI applications and research.

For example, the U.K.’s world-leading financial services industry gets a boost from a new AI-powered digital sandbox. This sandbox, a digital testing environment for safe AI innovation in financial services, will be provided by the Financial Conduct Authority, with infrastructure provided by NayaOne and supported by NVIDIA’s platform.

At the same time, Barclays Eagle Labs’ launch of an Innovation Hub in London will help AI and deep tech startups grow to the next level. NVIDIA is supporting the program by offering startups a pathway to the NVIDIA Inception program with access to advanced tools and training.

Furthermore, the Department for Science, Innovation and Technology announced a collaboration with NVIDIA to promote the nation’s goals for AI development in telecoms. Leading U.K. universities will gain access to a suite of powerful AI tools, 6G research platforms and training resources to bolster research and development on AI-native wireless networks.

The Research Engine

Universities are central to the U.K.’s strategy.

Led by Oxford University, the JADE consortium, comprising 20 universities and the Turing Institute, uses NVIDIA technologies to advance AI development and safety. At University College London, researchers are developing a digital twin of the human body enabled by NVIDIA technology. At the University of Bristol, the Isambard-AI supercomputer, built on NVIDIA Grace Hopper Superchips, is powering progress in AI safety, climate modeling and next-generation science. And at the University of Manchester, the NVIDIA Earth-2 platform is being deployed to develop pollution-flow models.

Meanwhile, U.K. tech leaders use NVIDIA’s foundational technologies to innovate across diverse sectors.

It’s how Wayve trains AI for autonomous vehicles. How JBA Risk Management helps organizations anticipate and mitigate climate risks with new precision. And how Stability AI is unleashing creativity with open-source generative AI that turns ideas into images, text and more — instantly.

NVIDIA also champions the U.K.’s most ambitious AI startups through NVIDIA Inception, providing specialized resources and support for startups building new products and services.

Basecamp Research is revolutionizing drug discovery with AI trained on the planet’s biodiversity. Humanoid advances automation and brings commercially scalable, reliable and safe humanoid robots closer to real-world deployment. Relation is accelerating the discovery of tomorrow’s medicines. And Synthesia turns text into studio-quality, multilingual videos with lifelike avatars.

Industry in Motion

The U.K.’s biggest companies are moving fast, too.

Companies like BT, LSEG and NatWest are transforming industries with AI. BT is powering agentic AI-based autonomous operations; LSEG is empowering customers with highly accurate, AI-driven data and insights; and NatWest is streamlining operations and safeguarding customers.

With government vision, talent and cutting-edge tech converging, the U.K. is taking its place among those making AI advances at home and worldwide.

Watch NVIDIA founder and CEO Jensen Huang’s keynote NVIDIA GTC Paris at VivaTech.

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