{"id":16254,"date":"2025-04-01T11:30:43","date_gmt":"2025-04-01T11:30:43","guid":{"rendered":"http:\/\/TheNextWeb=1412862"},"modified":"2025-04-01T11:30:43","modified_gmt":"2025-04-01T11:30:43","slug":"soaring-ai-energy-use-sparks-call-to-fundamentally-redesign-computing","status":"publish","type":"post","link":"https:\/\/www.londonchiropracter.com\/?p=16254","title":{"rendered":"Soaring AI energy use sparks call to \u2018fundamentally redesign\u2019 computing\u00a0\u00a0"},"content":{"rendered":"\n
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One of Europe\u2019s leading climate tech VC firms has called for a \u201cfundamental redesign\u201d of traditional computing methods amid surging energy consumption <\/span>from AI applications.<\/p>\n

The Berlin-based World Fund warns that simply transitioning data centres to renewable power will not be enough to fully decarbonise AI compute. <\/span><\/p>\n

\u201cWe need to rethink the way we go about computing, from the materials and chips we use to software we run,\u201d Daria Saharova, founding partner at World Fund, said at the Future<\/span><\/i><\/span><\/i><\/i><\/i> of Green Computing<\/i><\/i> event in Munich today.  <\/span><\/p>\n

At the event, World Fund joined Dealroom and Intel\u2019s deeptech accelerator Ignite to unveil a new report that proposes a set of emerging technologies \u2014 from chips made in space to <\/span>processors that mimic the brain \u2014 to curb AI\u2019s enormous appetite for energy and usher in a new era of greener computing. <\/span><\/p>\n

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TNW Conference – The 2025 Agenda has just touched down<\/p>\n

Discover the insightful and dare we say controversial sessions that will take place June 19-20.<\/p>\n

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Using data from Dealroom, the report maps out the green computing ecosystem. It identifies 65 startups<\/a> in this space, 54 of which are European, which have collectively raised $900mn. Over half of these companies were founded within the past five years, with 12 emerging in just the last 12 months. <\/span><\/p>\n

A greener vision of AI<\/h2>\n

The report highlights three key technologies that hold the most potential to decarbonise AI. <\/span><\/p>\n

The first is advanced semiconductor materials such as Gallium Nitride (GaN), Silicon Carbide (SiC), and graphene. These could significantly reduce AI\u2019s energy consumption by improving efficiency and thermal performance in computing hardware. <\/span><\/p>\n

One of the leading innovators in this space is Welsh startup <\/span>Space Forge<\/span><\/a>. The company is leveraging the microgravity, vacuum, and extreme temperatures of space to produce semiconductors that it claims are three to five times purer than those made on Earth. <\/span><\/p>\n

\u201cWe\u2019ve pushed the efficiency of silicon chips to their limit,\u201d said Joshua Western, CEO and cofounder at <\/span>Space Forge<\/span><\/a>.<\/span><\/p>\n

Another promising avenue lies in new computing paradigms, such as quantum, neuromorphic, and optical computing. Quantum computers<\/a>, for instance, promise to solve complex calculations much faster than classical machines, potentially reducing computational time and overall energy consumption. <\/span><\/p>\n

\u201cClassical computers are getting too big, too expensive, and use too much energy and water,\u201d said <\/span>In\u00e9s De Vega<\/span>,<\/span> VP of innovation at <\/span>IQM<\/span><\/a>, Europe\u2019s best-funded quantum computing startup.<\/span> \u201cQuantum computing can both find new solutions to climate change<\/a> but also drastically reduce the overall energy consumption of computing itself.\u201d<\/span><\/p>\n

Another type of computing gaining traction is optical computing, which leverages photons \u2014 particles of light \u2014 instead of electrons. It could dramatically increase processing speed, as demonstrated by Germany\u2019s Black Semiconductor. The company\u2019s photonics processors could transmit signals 100 to 1,000 times faster than traditional electronic chips.<\/span><\/p>\n

Anastasiia Nosova, a former chip engineer at German semiconductor giant <\/span>Infineon<\/span><\/a> and host of the <\/span>Anastasi In Tech podcast, argued that <\/span>photonic chips could be 100 times more energy efficient than regular silicon semiconductors. \u201cThey are one of the most important developments in computing right now,\u201d she said at the Munich event..  <\/span><\/p>\n

While hardware fixes will be critical, there\u2019s also work to be done in advanced software that makes AI\u2019s energy use more efficient. One of the startups working on this is London-based Deep Render. The company uses <\/span>deep learning<\/span><\/a> to compress files while retaining quality beyond what was previously possible. This reduces the volume of data that needs to be transmitted or stored, and thus the amount of computing power required. <\/span><\/p>\n

While these technologies hold potential, they\u2019re still in the nascent stages of development. Meanwhile, the energy needed to train AI models is doubling every three to four months, <\/span>according to OpenAI<\/span><\/a>.  <\/span><\/p>\n

\u201cFor these computing solutions to scale in Europe, we need a lot of venture capital but also government backing,\u201d said Saharova. She believes that Europe needs to allocate about <\/span>\u20ac1 trillion to bring climate tech, including green computing, to the \u201clevel it needs to be.\u201d <\/span><\/p>\n

The future of AI will be a hot topic at TNW Conference<\/a>, which takes place on June 19-20 in Amsterdam. Tickets for the event are <\/span>now on sale<\/span><\/a>. Use the code TNWXMEDIA2025 at the check-out to get 30% off the price tag.<\/span><\/em><\/p>\n

Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

One of Europe\u2019s leading climate tech VC firms has called for a \u201cfundamental redesign\u201d of traditional computing methods amid surging energy consumption from AI applications. The Berlin-based World Fund warns that simply transitioning…<\/p>\n","protected":false},"author":1,"featured_media":16255,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/posts\/16254"}],"collection":[{"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=16254"}],"version-history":[{"count":0,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/posts\/16254\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/media\/16255"}],"wp:attachment":[{"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=16254"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=16254"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=16254"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}