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Paper: “Switching data centers to green power sources will not be enough to decarbonize AI”

Like much since Trump’s second mandate began, the narrative around CO₂ emissions has shifted decisively. In this era, appeals to do-gooderism face headwinds, while framing tech-enabled decarbonization as energy sovereignty now holds political currency.

This isn’t merely greenhushing; though: A tangible convergence is emerging between the future of computing and green innovation.

That’s also the focus of Dealroom’s recent Green Computing White Paper, published in partnership with Intel’s startup program Ignite and World Fund, a VC firm that also advocates for the importance of climate tech for European resilience.

With leading universities producing world-class research and talent pipelines, Europe is well positioned to combine DeepTech with climate impact. Not coincidentally, the white paper’s launch event took place in Munich’s Science Campus Garching, and more precisely, at the ESO Supernova Planetarium.

Kicking the day off with a short documentary narrated by Liam Neeson, the planetarium’s 360-degree immersive dome helped bring across the message that climate can’t be ignored. It was also a fitting venue to showcase European startups that are making green computing a reality, from semiconductor maker Space Forge to quantum company IQM.

Several of these startups are highlighted by name in the white paper, which explores both current and emerging trends addressing green computing needs — but also explains very effectively why AI will accelerate this demand. Let’s dive in.

Tech as challenge and solution

Tech giants are well aware that the rising demand for computing power is currently resulting in a rise in emissions; which is why they are partnering with nuclear startups that could provide carbon-free electricity to their data centers.

However, “switching data centers to green power sources alone will not be enough to decarbonize AI, the internet of things (IoT), cryptocurrency, and device use emissions,” the white paper’s authors warned.

With AI-related demand for computing power currently doubling every three to four months, and with Bitcoin mining alone consuming as much electricity as Poland, innovation is critical to ensure the technologies we need don’t deepen the climate crisis.

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Image credits: Dealroom

Beyond Si

Some solutions highlighted in the white paper are already advanced in their journey, while others have outsiders speculate on how many years it will take for them to materialize, if they even do. But all of these can still be framed into three trends: semiconductor material innovations, computing technologies innovation such as quantum, and software architecture improvements.

The first category has already generated a new wave of startups looking for more energy-efficient alternatives to silicon chips, which are showing their limits. Many of these focus on Gallium Nitride (GaN), which even gave their name to companies like Infineon-owned GaN Systems and Cambridge GaN Devices.

Overall, European GaN startups raised $70 billion over the last five years, according to Dealroom data. But others also secure funding to explore other materials, such as Silicon Carbide (SiC), graphene or diamond. The latter is the focus of French startup Diamfab, which raised an €8.7 million round of funding last year.

The properties of each material varies, but the idea is directionally the same: Improving efficiency and performance in industrial applications as varied as electrical vehicle batteries, IoT, aviation and nuclear reactors.

Capital calls

Whether we are talking quantum, photonics or spacetech, Europe has cards to play, and the launch event played that card, too. Science Campus Garching of the Technical University of Munich, we were reminded, is also home to Max Planck Institutes and several other research clusters.

“So the technology is being created in Europe,” World Fund general partner Daria Saharova said. However, she quickly added, “there is a lack of capital.”

VCs haven’t completely ignored the green computing opportunity. According to Dealroom, total funding in this sector has exceeded $790 million in Europe, with nearly half coming from VC, and most going into early stage startups.

Still, there is more to be done. “To accelerate the commercial adoption of these innovations,” the white paper authors argued, “companies require
 increased private and public investment, along with a supportive regulatory
 framework. This is essential for Europe to develop next-generation technologies
 that maximize the potential of advanced computing while minimizing its environmental impact.”

Featured image credits: ESO/P. Horálek

WorldFund covered travel costs for this event. It had no influence over the content of this article.

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Fundraising 3 hours ago

London-based AI laboratory Ineffable Intelligence has emerged from stealth with a $1.1 billion seed round at a $5.1 billion post-money valuation, the company confirmed on 27 April 2026. The financing is the largest seed round ever raised by a European company and one of the largest first-money-in rounds in the global history of artificial intelligence. The round was co-led by Sequoia Capital and Lightspeed Venture Partners. Participating investors included Nvidia, DST Global, Index Ventures, Google, and the UK Sovereign AI Fund, the British government’s recently established vehicle for backing strategic AI capacity on home soil. A bet on a different path to general intelligence Ineffable Intelligence was founded in 2025 by David Silver, the former Vice President of Reinforcement Learning at Google DeepMind and the principal architect of AlphaGo, AlphaZero and AlphaStar. He is joined by three further DeepMind alumni: Wojciech Czarnecki, Lasse Espeholt and Junhyuk Oh. All four have spent the past decade at the frontier of reinforcement learning research, the discipline behind some of the most consequential demonstrations of machine learning over the past ten years. The company describes its objective as building a “superlearner” — an AI system capable of acquiring knowledge directly from its own experience rather than from human-generated text or imagery. “Our mission is to make first contact with superintelligence,” Silver said in a statement accompanying the launch. “We are creating a superlearner that discovers all knowledge from its own experience, from elementary motor skills through to profound intellectual breakthroughs.” The framing is a deliberate departure from the dominant industry trajectory. Most leading AI laboratories, including OpenAI, Anthropic and Google DeepMind itself, have built large language models trained primarily on the corpus of the internet, then refined that training with human feedback. Ineffable’s wager is that the marginal returns on scaling text-based pretraining are diminishing and that the next leap in capability will come from agents that learn endlessly from the consequences of their own actions, in much the same way AlphaZero learnt the game of Go without studying any human matches. Why $1.1 billion at seed The size of the round is unusual even by the inflated standards of the 2026 AI capital cycle. Two factors appear to explain it. First, frontier reinforcement learning at the scale Ineffable describes is computationally extraordinarily expensive: the company will need to operate vast simulation environments and train very large models against them, an undertaking that consumes capital at a rate closer to physical R&D than to traditional software. Second, the round signals a strategic move by Europe’s investor and policy ecosystems to retain the most ambitious AI researchers on the continent. The presence of the UK Sovereign AI Fund alongside Sequoia, Lightspeed and Nvidia is the clearest expression of that intent. The British government has publicly framed the investment as a bet on breakthrough AI that “can discover new knowledge”, positioning the country as a willing co-investor in domestic frontier laboratories. For Ineffable, the implication is access not only to capital but to compute, regulatory engagement and the still-resilient academic talent base around UCL, Oxford, Cambridge and Imperial. Founder pledge of historic scale Alongside the funding announcement, Silver disclosed that he is committing 100 per cent of any personal proceeds from his Ineffable equity to charity via the Founders Pledge network — described by the organisation as the largest pledge in its history. At the round’s $5.1 billion valuation, that commitment could ultimately exceed several billion dollars if the company succeeds. It is a meaningful gesture in a sector where the reputational stakes around concentrated AI wealth are escalating, and one likely to be referenced in subsequent founder-led commitments. Implications for the European AI landscape Ineffable’s emergence reshapes the European AI map in three concrete ways. It establishes London as the home of the continent’s largest-ever seed-stage company, complicating Paris’s recent narrative of frontier-AI primacy after Mistral’s earlier rounds. It validates a thesis — that reinforcement learning, not transformer scaling, is the next frontier — that has lately been losing capital share to language-model incumbents. And it confirms that the UK government is now willing to act as a balance-sheet co-investor in domestic AI laboratories, a posture much closer to the French model than to the predominantly grant-based regimes elsewhere in Europe. The execution risk is non-trivial. Reinforcement learning at frontier scale has historically required years of careful environment design before producing competitive systems, and Ineffable’s “first contact” framing sets a high bar against which it will be judged. But for now, with a billion dollars on the balance sheet, four of the discipline’s most accomplished researchers in the founding team and a sovereign co-investor at its back, Ineffable Intelligence is the most heavily resourced new entrant in the European AI cycle. Sesamers covers European fundraising rounds across deeptech, fintech and AI. Source: tech.eu.

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