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NVIDIA and EBU Collaborate on Sovereign Cloud and AI for European Media
Partnership aims to give media industry access to trusted cloud and AI technologies.
PARIS – NVIDIA and the European Broadcasting union (EBU) are joining forces to promote sovereign AI for European public service media. The collaboration seeks to provide the media industry with access to reliable cloud and AI technologies.
Announced at NVIDIA GTC Paris at VivaTech, the partnership between NVIDIA and the EBU, wich represents over 110 member organizations in more than 50 countries and reaches over 1 billion people, is geared towards establishing sovereign AI and cloud frameworks. The goal is to foster workforce advancement and cultivate an AI ecosystem that promotes a more equitable, accessible, and resilient media landscape in Europe.
The collaboration aims to create a stronger foundation for public service media, enabling them to leverage European cloud infrastructure and AI services that adhere to European policy, data protection, and privacy regulations, while also reflecting European values.
Sovereign AI allows countries to create and implement artificial intelligence using local infrastructure, data, and expertise. By investing in this area, European nations can protect their cultural identity, increase public trust, and encourage innovation tailored to their specific requirements.
“We are proud to collaborate with NVIDIA to drive the development of sovereign AI and cloud services,” said Michael Eberhard, chief technology officer of public broadcaster ARD/SWR, and chair of the EBU Technical Commitee. “By advancing these capabilities together, we’re helping ensure that powerful, compliant and accessible media services are made available to all EBU members – powering innovation, resilience and strategic autonomy across the board.”
Empowering Media Innovation in Europe
To facilitate the advancement of sovereign AI technologies, NVIDIA and the EBU will establish frameworks that emphasize independence and public trust. this will help ensure that AI serves the interests of Europeans while preserving the autonomy of media organizations.
Through this collaboration, NVIDIA and the EBU will create hybrid cloud architectures designed to meet the rigorous standards of European public service media. The EBU will contribute its Dynamic Media Facility (DMF) and Media eXchange Layer (MXL) architecture to promote interoperability and scalability for workflows, as well as cost-effective and energy-efficient AI training and inference. This initiative, guided by open-source principles, aims to build an accessible and dynamic technology ecosystem.
“Building sovereign cloud and AI capabilities based on EBU’s Dynamic Media Facility and Media eXchange Layer architecture requires strong cross-industry collaboration.”
The collaboration will also equip public service media companies with the tools to deliver personalized and contextually relevant services and content recommendation systems, emphasizing openness, accountability, and cultural identity. This will be achieved through investments in sovereign cloud and AI infrastructure and software platforms,such as NVIDIA AI Enterprise, custom foundation models, large language models trained with local data, and retrieval-augmented generation technologies.
As part of the collaboration, NVIDIA is providing resources from its Deep Learning Institute, offering European media organizations thorough training programs to develop an AI-ready workforce.This supports the EBU’s efforts to maintain news integrity in the age of AI.
additionally, the EBU and its partners are investing in local data centers and cloud platforms that support sovereign technologies, such as the NVIDIA GB200 Grace Blackwell superchip, NVIDIA RTX PRO Servers, NVIDIA DGX Cloud, and NVIDIA Holoscan for media. These investments aim to help EBU members achieve secure,cost-effective,and energy-efficient AI training,while also promoting AI research and development.
Partnering With Public Service Media for Sovereign Cloud and AI
collaboration within the media sector is crucial for establishing comprehensive standards and best practices that ensure the development and implementation of sovereign European cloud and AI technologies.
By working with independent software vendors, data center providers, cloud service providers, and original equipment manufacturers, NVIDIA and the EBU seek to create a unified approach to sovereign cloud and AI.
This initiative will also facilitate discussions between the cloud and AI industry and European regulators, helping to develop practical solutions that benefit both the public and media organizations.
“Building sovereign cloud and AI capabilities based on EBU’s Dynamic Media Facility and Media eXchange Layer architecture requires strong cross-industry collaboration,” said antonio Arcidiacono, chief technology and innovation officer at the EBU. “By collaborating with NVIDIA, as well as a broad ecosystem of media technology partners, we are fostering a shared foundation for trust, innovation and resilience that supports the growth of European media.”
Frequently Asked Questions
- What is sovereign AI?
- Sovereign AI refers to a nation’s ability to develop and deploy artificial intelligence using its own infrastructure,data,and expertise,ensuring alignment with national values and policies.
- What are the benefits of sovereign AI?
- Benefits include maintaining control over data and algorithms, reducing reliance on foreign entities, promoting innovation tailored to local needs, and ensuring compliance with national data protection standards.
- How is the EBU contributing to sovereign AI?
- The EBU is contributing by collaborating with technology partners like NVIDIA to establish frameworks, promote interoperability, and provide resources for AI training and development within the european media landscape.
- What is NVIDIA’s role in this collaboration?
- NVIDIA is providing its AI expertise, technology platforms, and training resources to support the development of sovereign AI capabilities within the European media industry.
- What are the key technologies being used in this collaboration?
- Key technologies include NVIDIA AI Enterprise,large language models trained with local data,retrieval-augmented generation technologies,and NVIDIA’s data center solutions like the GB200 Grace Blackwell Superchip and DGX Cloud.
