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NVIDIA Partners With Europe Model Builders and Cloud Providers to Accelerate Region’s Leap Into AI

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NVIDIA announced strategic partnerships with European model builders and cloud providers to develop and optimize sovereign large language models (LLMs) tailored to local languages and cultures. The collaboration includes partners from France, Italy, Poland, Spain, Sweden, and other regions. These models will be optimized using NVIDIA Nemotron techniques to enhance cost efficiency and accuracy for enterprise AI workloads. The models will be available through Perplexity's AI-powered answer engine and can be fine-tuned on local NVIDIA Cloud Partner infrastructure through Hugging Face integration with DGX Cloud Lepton. The initiative aims to create an integrated regional AI ecosystem, with the first distilled models expected later in the year. Notable partners include Barcelona Supercomputing Center, LightOn, Bielik.AI, and various academic institutions, with cloud infrastructure support from providers like Nebius, Nscale, and Fluidstack.
NVIDIA ha annunciato partnership strategiche con costruttori di modelli europei e fornitori di servizi cloud per sviluppare e ottimizzare modelli linguistici di grandi dimensioni (LLM) sovrani, adattati alle lingue e culture locali. La collaborazione coinvolge partner provenienti da Francia, Italia, Polonia, Spagna, Svezia e altre regioni. Questi modelli saranno ottimizzati utilizzando le tecniche NVIDIA Nemotron per migliorare l'efficienza dei costi e la precisione nei carichi di lavoro AI aziendali. I modelli saranno disponibili tramite il motore di risposte AI di Perplexity e potranno essere ulteriormente perfezionati sull'infrastruttura locale dei partner cloud NVIDIA, grazie all'integrazione di Hugging Face con DGX Cloud Lepton. L'iniziativa punta a creare un ecosistema AI regionale integrato, con i primi modelli distillati previsti entro la fine dell'anno. Tra i partner di rilievo figurano il Barcelona Supercomputing Center, LightOn, Bielik.AI e diverse istituzioni accademiche, con il supporto infrastrutturale cloud di fornitori come Nebius, Nscale e Fluidstack.
NVIDIA anunció alianzas estratégicas con desarrolladores de modelos europeos y proveedores de servicios en la nube para desarrollar y optimizar modelos de lenguaje grandes (LLM) soberanos adaptados a los idiomas y culturas locales. La colaboración incluye socios de Francia, Italia, Polonia, España, Suecia y otras regiones. Estos modelos serán optimizados utilizando técnicas NVIDIA Nemotron para mejorar la eficiencia de costos y la precisión en cargas de trabajo de IA empresarial. Los modelos estarán disponibles a través del motor de respuestas impulsado por IA de Perplexity y podrán ajustarse finamente en la infraestructura local de socios de NVIDIA Cloud mediante la integración de Hugging Face con DGX Cloud Lepton. La iniciativa busca crear un ecosistema regional de IA integrado, con los primeros modelos destilados previstos para finales de año. Entre los socios destacados se encuentran el Barcelona Supercomputing Center, LightOn, Bielik.AI y varias instituciones académicas, con soporte de infraestructura en la nube de proveedores como Nebius, Nscale y Fluidstack.
NVIDIA는 유럽의 모델 개발업체 및 클라우드 제공업체와 전략적 파트너십을 발표하여 현지 언어와 문화에 맞춘 주권 대형 언어 모델(LLM)을 개발하고 최적화합니다. 이번 협력에는 프랑스, 이탈리아, 폴란드, 스페인, 스웨덴 등 여러 지역의 파트너들이 참여합니다. 이 모델들은 NVIDIA Nemotron 기술을 활용해 비용 효율성과 정확성을 높여 기업 AI 작업 부하에 최적화됩니다. 모델은 Perplexity의 AI 기반 답변 엔진을 통해 제공되며, Hugging Face와 DGX Cloud Lepton의 통합을 통해 현지 NVIDIA 클라우드 파트너 인프라에서 세밀하게 조정할 수 있습니다. 이 이니셔티브는 통합된 지역 AI 생태계 구축을 목표로 하며, 첫 번째 증류 모델은 올해 말에 공개될 예정입니다. 주요 파트너로는 바르셀로나 슈퍼컴퓨팅 센터, LightOn, Bielik.AI 및 다양한 학술 기관이 있으며, Nebius, Nscale, Fluidstack와 같은 클라우드 인프라 제공업체의 지원을 받습니다.
NVIDIA a annoncé des partenariats stratégiques avec des développeurs de modèles européens et des fournisseurs de services cloud afin de développer et d’optimiser des modèles de langage de grande taille (LLM) souverains, adaptés aux langues et cultures locales. Cette collaboration inclut des partenaires de France, d’Italie, de Pologne, d’Espagne, de Suède et d’autres régions. Ces modèles seront optimisés grâce aux techniques NVIDIA Nemotron pour améliorer l’efficacité des coûts et la précision des charges de travail en IA d’entreprise. Les modèles seront accessibles via le moteur de réponses alimenté par l’IA de Perplexity et pourront être affinés sur l’infrastructure locale des partenaires cloud NVIDIA grâce à l’intégration de Hugging Face avec DGX Cloud Lepton. Cette initiative vise à créer un écosystème régional d’IA intégré, avec les premiers modèles distillés attendus d’ici la fin de l’année. Parmi les partenaires notables figurent le Barcelona Supercomputing Center, LightOn, Bielik.AI et plusieurs institutions académiques, avec le soutien d’infrastructures cloud fournies par Nebius, Nscale et Fluidstack.
NVIDIA hat strategische Partnerschaften mit europäischen Modellentwicklern und Cloud-Anbietern angekündigt, um souveräne Large Language Models (LLMs) zu entwickeln und zu optimieren, die auf lokale Sprachen und Kulturen zugeschnitten sind. Die Zusammenarbeit umfasst Partner aus Frankreich, Italien, Polen, Spanien, Schweden und weiteren Regionen. Diese Modelle werden mit NVIDIA Nemotron-Techniken optimiert, um Kosten-effizienz und Genauigkeit bei KI-Anwendungen für Unternehmen zu verbessern. Die Modelle werden über die KI-gestützte Antwortmaschine von Perplexity verfügbar sein und können über die Integration von Hugging Face mit DGX Cloud Lepton auf der lokalen Infrastruktur der NVIDIA Cloud-Partner feinjustiert werden. Die Initiative zielt darauf ab, ein integriertes regionales KI-Ökosystem zu schaffen, wobei die ersten distillierten Modelle noch in diesem Jahr erwartet werden. Bedeutende Partner sind das Barcelona Supercomputing Center, LightOn, Bielik.AI sowie verschiedene akademische Institutionen, unterstützt durch Cloud-Infrastruktur-Anbieter wie Nebius, Nscale und Fluidstack.
Positive
  • Strategic expansion into Europe's AI market through partnerships with multiple regional model builders and cloud providers
  • Integration with Perplexity's platform which handles over 150 million questions per week
  • Support for all 24 official European languages, enhancing market reach
  • Cost reduction and performance improvement through NVIDIA Nemotron optimization techniques
  • Creation of a sovereign AI ecosystem that respects local languages and cultures
Negative
  • First distilled models won't be available until later in the year, indicating a delay in market implementation
  • Significant investment and resources required to build and maintain multiple region-specific AI models
  • Potential challenges in coordinating multiple partners across different countries and regulatory environments

Insights

NVIDIA's European AI partnerships create a strategic foothold in the world's third-largest economic region while localizing AI capabilities.

NVIDIA's announcement represents a significant strategic expansion of its AI ecosystem across Europe and the Middle East. By partnering with regional model builders and cloud providers to optimize sovereign large language models (LLMs), NVIDIA is creating a comprehensive AI infrastructure tailored to Europe's diverse linguistic and cultural landscape. This move addresses a critical gap in the AI market – the need for region-specific AI capabilities that respect local languages, regulations, and cultural contexts.

The partnerships span multiple countries including France, Italy, Poland, Spain, Sweden, and others, effectively creating a pan-European AI network powered by NVIDIA's technology. The company is leveraging its Nemotron techniques to optimize these models for both accuracy and cost efficiency, which is crucial for enterprise adoption. By running these models on local infrastructure through NVIDIA Cloud Partners (NCPs), the company ensures data sovereignty – a key requirement for European enterprises and governments.

The integration with Perplexity, which reportedly handles over 150 million questions weekly, provides an immediate distribution channel for these optimized models. This gives NVIDIA a direct path to demonstrate the value of its technology to enterprises across the region. Additionally, the Hugging Face integration with DGX Cloud Lepton creates a developer-friendly environment for model fine-tuning.

From a competitive standpoint, this initiative establishes NVIDIA as the backbone of Europe's sovereign AI infrastructure at a time when the region is actively seeking technological independence. By providing both the hardware and software optimization techniques, NVIDIA is cementing its position in the European AI value chain while addressing the region's specific requirements for localized, sovereign AI solutions that can serve its diverse industries from manufacturing to healthcare.

  • Model Builders Across Europe — Including France, Italy, Poland, Spain and Sweden — to Deliver Sovereign Models With NVIDIA Nemotron
  • AI Models Tailored to Local Languages and Culture Coming to Perplexity, Delivered as NVIDIA NIM Microservices and Hosted on Regional AI Infrastructure From NVIDIA Cloud Partners


PARIS, June 11, 2025 (GLOBE NEWSWIRE) -- NVIDIA GTC Paris at VivaTech -- NVIDIA today announced that it is teaming with model builders and cloud providers across Europe and the Middle East to optimize sovereign large language models (LLMs), providing a springboard to accelerate enterprise AI adoption for the region’s industries.

Model builders and AI consortiums Barcelona Supercomputing Center (BSC), Bielik.AI, Dicta, H Company, Domyn, LightOn, the National Academic Infrastructure for Supercomputing in Sweden (NAISS) together with KBLab at the National Library of Sweden, the Slovak Republic, the Technology Innovation Institute (TII), the University College of London, the University of Ljubljana and UTTER are teaming with NVIDIA to optimize their models with NVIDIA Nemotron™ techniques to maximize cost efficiency and accuracy for enterprise AI workloads, including agentic AI.

Model post-training and inference will run on AI infrastructure in Europe from NVIDIA Cloud Partners (NCPs) participating in the NVIDIA DGX Cloud Lepton™ marketplace.

The open, sovereign models will provide a foundation for an integrated regional AI ecosystem that reflects local languages and culture. Europe’s enterprises will be able to run the models on Perplexity, an AI-powered answer engine used to answer over 150 million questions per week. Companies will also be able to fine-tune the sovereign models on local NCP infrastructure through a new Hugging Face integration with DGX Cloud Lepton.

“Europe’s diversity is its superpower — an engine of creativity and innovation,” said Jensen Huang, founder and CEO of NVIDIA. “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.”

Optimizing Model Accuracy and Inference Savings With NVIDIA Nemotron
Europe — the world’s third largest economic region — is home to industries spanning manufacturing, robotics, healthcare and pharmaceuticals, finance, energy and creative.

To accelerate the region’s AI-driven transformation, NVIDIA partners are delivering their open LLMs with support for Europe’s 24 official languages. Several models also specialize in national language and culture, such as those from H Company and LightOn in France, Dicta in Israel, Domyn in Italy, Bielik.AI in Poland, the University of Ljubljana and the Slovak Republic models, BSC in Spain, NAISS and KBLab in Sweden, TII in the United Arab Emirates and the University College London in the U.K.

The LLMs will be distilled with NVIDIA Nemotron model-building techniques — including neural architecture search — as well as reinforcement learning and post-training with NVIDIA-curated synthetic data. These optimizations will reduce operational costs and boost user experiences by generating tokens faster during inference. The Nemotron post-training workloads will run on DGX Cloud Lepton hosted by European NCPs including Nebius, Nscale and Fluidstack.

Developers will be able to deploy the sovereign models as NVIDIA NIM™ microservices running on AI factories — on premises and across cloud service provider platforms — using a new NIM microservice that supports more than 100,000 public, private and domain-specialized LLMs hosted on Hugging Face.

Adding Europe’s Sovereign AI Insights to Perplexity
Supporting AI diversity for enterprises across the region, Perplexity will integrate the sovereign AI models into its answer engine, which is used by European enterprises, publishers and organizations, including telecommunications and media giants. Perplexity uses LLMs to improve accuracy in search queries and AI outputs. The answer engine draws from credible sources in real time to accurately answer questions with in-line citations, perform deep research and complete assistive tasks.

“Perplexity’s goal is to provide accurate, trustworthy answers to any question from any person, wherever they are,” said Aravind Srinivas, cofounder and CEO of Perplexity. “Bringing NVIDIA-optimized sovereign AI models to Perplexity empowers innovation in Europe with AI built and running in the region.”

Availability
The first distilled models from Europe’s model builders are expected to be available later this year.

Watch the NVIDIA GTC Paris keynote from Huang at VivaTech and explore GTC Paris sessions.

About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.

For further information, contact:
Allie Courtney
NVIDIA Corporation
+1-408-706-8995
acourtney@nvidia.com

Certain statements in this press release including, but not limited to, statements as to: together with Europe’s model builders and cloud providers, NVIDIA 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; the benefits, impact, performance, and availability of NVIDIA’s products, services, and technologies; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners; expectations with respect to technology developments; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing product and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.

© 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, DGX Cloud Lepton, NVIDIA Nemotron and NVIDIA NIM are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/f5fb6261-43d3-4e35-ba55-37a8fbeca57c.


FAQ

What is NVIDIA's new AI partnership initiative in Europe?

NVIDIA is partnering with European model builders and cloud providers to develop sovereign large language models optimized with NVIDIA Nemotron techniques, tailored to local languages and cultures.

Which European countries are involved in NVIDIA's AI partnership?

The partnership includes model builders from France, Italy, Poland, Spain, Sweden, and other European countries, along with cloud providers across the region.

When will NVIDIA's European AI models be available?

The first distilled models from Europe's model builders are expected to be available later in 2025.

How will NVIDIA's European AI models be distributed?

The models will be available through Perplexity's AI-powered answer engine and can be fine-tuned on local NVIDIA Cloud Partner infrastructure through Hugging Face integration.

What is the purpose of NVIDIA's Nemotron technology in this initiative?

NVIDIA Nemotron techniques are used to optimize the AI models for cost efficiency and accuracy, including neural architecture search and reinforcement learning with NVIDIA-curated synthetic data.
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