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Europe, India push sovereign AI to cut US, China reliance: expert

Europe and India are collaborating to develop a sovereign AI ecosystem aimed at reducing reliance on US and Chinese technology, according to Emmanuel Le Roux, CEO of France-based Bull.

Bull specializes in high-performance computing, AI infrastructure, and sovereign supercomputers for governments and enterprises worldwide.

Le Roux noted that AI is becoming more regionally focused, with countries prioritizing training models on local data, languages, and security standards.

He expects India to increase investments this year in supercomputing, defense, and critical infrastructure, along with expanding R&D and manufacturing.

Le Roux highlighted a shift toward prioritizing sovereignty and sustainability over scale in the AI race, citing Europe’s recent deployment of exascale machines mainly used for research.

He sees India as a potential large-scale AI training hub if it continues to build domestic compute capacity and supply chain independence.

Bull has operated in India since 2019, with R&D and manufacturing facilities in Bengaluru and Chennai.

🔗 Source: The Economic Times

🧠 Food for thought

Implications, context, and why it matters.

This AI partnership builds on existing supercomputing and infrastructure deployments

  • Eviden (an Atos Group business) won a $100 million contract in 2023 to build two supercomputers for India’s National Center for Medium Range Weather Forecasting (NCMRWF) and the Indian Institute of Tropical Meteorology (IITM), working for India’s Ministry of Earth Sciences 1.
  • The machines run on Eviden’s BullSequana XH2000 hardware, bringing European high-performance computing into Indian research workloads 1.
  • India is also growing domestic AI compute through cloud infrastructure. DDN partnered with Yotta Data Services, and Yotta installed a multi-million-dollar deployment of DDN EXAScaler AI400X3 systems (high-speed storage systems used to feed data to AI servers) to support 8,000 NVIDIA B200 GPUs (graphics processing units used to train and run AI models) in Yotta’s Petascale AI cloud infrastructure, powering Shakti Cloud 2, 3.
  • These moves split roles across platforms. Research leans on European-style supercomputing, while a homegrown GPU cloud targets commercial, government, and regulated-industry AI use in India 3, 1.

EU-India alignment seeks to reduce dependence on US and Chinese tech ecosystems

  • The EU and India describe the effort as “technological strategic autonomy,” with the goal of relying less on Chinese and, to some extent, US platforms 4.
  • Geopolitics and trade tensions are pushing the partners closer, including frictions in EU-China trade ties and worries about reliance in strategic technologies 5.
  • Work goes beyond AI hardware into semiconductor supply chains (the global network for designing, manufacturing, and packaging chips) and digital public infrastructure (government-backed digital building blocks such as identity and payment rails). Much EU-India R&D already runs through Global Capability Centres (India-based subsidiaries of multinational companies that do engineering and product development) 4.
  • Shared standards and coordinated supply chains could offer another path for countries dealing with great-power tech rivalry 5.

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