{"id":218715,"date":"2026-04-20T23:37:46","date_gmt":"2026-04-20T23:37:46","guid":{"rendered":"https:\/\/teknomers.com\/en\/europe-is-pursuing-technological-independence-with-an-ambitious-goal-nvidia\/"},"modified":"2026-04-20T23:37:49","modified_gmt":"2026-04-20T23:37:49","slug":"europe-is-pursuing-technological-independence-with-an-ambitious-goal-nvidia","status":"publish","type":"post","link":"https:\/\/teknomers.com\/en\/europe-is-pursuing-technological-independence-with-an-ambitious-goal-nvidia\/","title":{"rendered":"Europe is Pursuing Technological Independence with an Ambitious Goal: NVIDIA"},"content":{"rendered":"\n
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Europe’s Quest for Technological Independence<\/h2>\n

Europe cannot continue to be the technological vassal of the United States. This bold statement was recently echoed by the CEO of Mistral as he unveiled a strategic roadmap aimed at fostering Europe\u2019s dominance in the artificial intelligence (AI) arena. Several companies are now striving for European technological sovereignty, with Euclyd<\/strong> emerging as a prominent player in this transformative journey. Euclyd is currently seeking 100 million euros and is influenced by one of the heads of ASML, with a clear goal: to reduce dependency on NVIDIA.<\/p>\n

Euclyd: A New Contender in AI Chips<\/h2>\n

Euclyd was founded in 2024 by Bernardo Kastrup, a former director of ASML, renowned for producing the most advanced semiconductor manufacturing machines. Backed by former ASML CEO Peter Wennink, this startup is focused on generating the necessary funding to commence mass production of chips designed specifically for AI applications.<\/p>\n

Craftwerk: The Next Generation of AI Chips<\/h3>\n

As part of its funding initiative, Euclyd aims to create innovative inference chips tailored for AI. These chips are designed to utilize knowledge acquired during training, focusing on high speed, low latency, and significantly reduced energy consumption compared to traditional chips. Euclyd boasts that its ‘Craftwerk’ chip system is 100 times more energy efficient for AI inference than NVIDIA’s latest generation, the Vera Rubin chips. While this claim is impressive, it warrants scrutiny as Vera Rubin excels in both training and inference capabilities.<\/p>\n

A Broader European Movement<\/h2>\n

Euclyd is not operating in isolation. Numerous other startups, including British companies like Olix and Tactile, as well as French Lago and Dutch Axelera, have collectively raised over 800 million euros to develop similar technologies. On a governmental level, the FAMES pilot program has earmarked 830 million euros to finance these groundbreaking initiatives. While this funding is modest compared to the vast investments seen in the United States, it signals a growing sentiment within Europe that it must pave its own technological path.<\/p>\n

A Global Shift Against NVIDIA’s Dominance<\/h3>\n

This movement isn\u2019t purely a European initiative; it resonates globally, as major tech companies grapple with NVIDIA’s pervasive influence. Renowned firms like Meta, Tesla, and Amazon rely on NVIDIA’s hardware while simultaneously working on their chip designs, indicating a collective desire for diversification. Chinese tech giants are echoing these sentiments, looking to produce alternatives at home while still purchasing NVIDIA chips.<\/p>\n

Emerging Competitors and Strategic Investments<\/h2>\n

Across the Atlantic, a plethora of American companies are also stepping up to challenge NVIDIA’s supremacy. Noteworthy examples include Cerebras Systems, valued at an astonishing 23 billion dollars, and MatX, founded by former engineers from Google’s TPU development team.<\/p>\n

Google is actively seeking new partnerships to diversify its supply chain, further underscoring a growing trend in the semiconductor industry. Companies such as Broadcom and Marvell are currently in talks to explore collaborative avenues for producing inference chips, indicating a strategic pivot in how major tech entities approach AI hardware.<\/p>\n

NVIDIA’s Response to Competition<\/h3>\n

In response to this competitive landscape, NVIDIA is strategically diversifying its investments. By offering support to smaller, promising startups, NVIDIA aims to embed itself deeper into the fabric of the AI industry. Additionally, it has committed substantial resources to research and development, alongside lucrative contracts with manufacturing giants like TSMC and Samsung to produce their chip technologies.<\/p>\n

Conclusion: The Race Continues<\/h2>\n

As Europe, China, and the United States plunge into an ambitious tech race, the stakes are higher than ever. With the potential public offerings of companies like Anthropic and OpenAI on the horizon, this relentless pursuit for technological independence promises to shape the future of global AI infrastructure significantly.<\/p>\n<\/div>\n


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General News – 2<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Europe’s Quest for Technological Independence Europe cannot continue to be the technological vassal of the United States. This bold statement was recently echoed by the CEO of Mistral as he unveiled a strategic roadmap aimed at fostering Europe\u2019s dominance in the artificial intelligence (AI) arena. Several companies are now striving for European technological sovereignty, with […]<\/p>\n","protected":false},"author":1,"featured_media":218716,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36399],"tags":[12721,1147,1135,3415,20230,27153,14777],"class_list":["post-218715","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-ambitious","tag-europe","tag-goal","tag-independence","tag-nvidia","tag-pursuing","tag-technological"],"_links":{"self":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts\/218715","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/comments?post=218715"}],"version-history":[{"count":1,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts\/218715\/revisions"}],"predecessor-version":[{"id":218717,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts\/218715\/revisions\/218717"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/media\/218716"}],"wp:attachment":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/media?parent=218715"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/categories?post=218715"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/tags?post=218715"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}