{"id":6328,"date":"2023-10-10T20:06:37","date_gmt":"2023-10-10T20:06:37","guid":{"rendered":"https:\/\/dailyai.com\/?p=6328"},"modified":"2023-10-10T21:42:57","modified_gmt":"2023-10-10T21:42:57","slug":"ai-could-consume-the-same-energy-as-the-netherlands-by-2027","status":"publish","type":"post","link":"https:\/\/dailyai.com\/de\/2023\/10\/ai-could-consume-the-same-energy-as-the-netherlands-by-2027\/","title":{"rendered":"KI k\u00f6nnte bis 2027 genauso viel Energie verbrauchen wie die Niederlande"},"content":{"rendered":"

Eine neue Studie prognostiziert, dass der Energieverbrauch der KI-Industrie bis 2027 dem der Niederlande entsprechen k\u00f6nnte.\u00a0<\/b><\/p>\n

Wenn sich das Wachstum der KI jedoch verlangsamt, k\u00f6nnten ihre Auswirkungen auf die Umwelt \"geringer als bef\u00fcrchtet\" sein, so die Studie.\u00a0<\/span><\/p>\n

Alex De Vries, ein Doktorand an der VU Amsterdam School of Business and Economics, f\u00fchrte <\/span>die Studie<\/span><\/a>. Seine Projektionen gehen von bestimmten Bedingungen aus, z. B. von der derzeitigen Wachstumsrate der KI und der Verf\u00fcgbarkeit von Chips.\u00a0<\/span><\/p>\n

Da Nvidia etwa 95% der in der Branche ben\u00f6tigten KI-Hardware liefert, verwendete De Vries die Stromverbrauchsdaten von Nvidia-Chips als Benchmarks.\u00a0<\/span><\/p>\n

Anhand der von Nvidia bis 2027 erwarteten Lieferungen sch\u00e4tzte er den Energieverbrauch der KI auf 85-134 Terawattstunden (TWh) pro Jahr. In seiner Spitze entspricht dieser Verbrauch dem einer kleinen Nation.<\/span><\/p>\n

Viele, darunter auch der Autor der Studie, halten diese Ergebnisse f\u00fcr spekulativ, aber <\/span>Beweise von Microsoft<\/span><\/a> in diesem Jahr auf den hohen Wasserverbrauch in ihren Rechenzentren hin. A <\/span>Studie 2019 ergab<\/span><\/a> dass das Training einiger neuronaler Netze w\u00e4hrend ihrer gesamten Lebensdauer die CO2-Emissionen von f\u00fcnf Autos verursachen k\u00f6nnte.\u00a0<\/span><\/p>\n

Microsofts und Googles steigender Wasserverbrauch k\u00f6nnte mit dem Betrieb ressourcenintensiver KI-bezogener Arbeitslasten korrelieren, was die Erkenntnisse von De Vries noch glaubw\u00fcrdiger macht.\u00a0<\/span><\/p>\n

\"Was den Stromverbrauch anbelangt, so entspricht dies der Gr\u00f6\u00dfe eines Landes wie den Niederlanden. Es geht um ein halbes Prozent unseres gesamten weltweiten Stromverbrauchs\". <\/span>sagte er gegen\u00fcber BBC News<\/span><\/a>.\u00a0<\/span><\/p>\n

Dies kommt zu dem Stromverbrauch von Rechenzentren hinzu, der nach Angaben des Instituts bereits mehr als 1% des weltweiten Stromverbrauchs betr\u00e4gt. Internationale Energieagentur (IEA)<\/a>.<\/span><\/p>\n

De Vries unterstreicht die Bedeutung der Studie, indem er erkl\u00e4rt, dass KI nur dort eingesetzt werden sollte, \"wo sie wirklich gebraucht wird\".\u00a0<\/span><\/p>\n

Die steigende Nachfrage nach KI-zentrierten Computern f\u00fchrt zu einem h\u00f6heren Energie- und Wasserbedarf, und obwohl Nvidia versucht, den Energieverbrauch seiner Chips zu senken, kann man mit der aktuellen Technologie nur bis zu einem gewissen Grad heruntergehen.\u00a0<\/span><\/p>\n

Danny Quinn von DataVita <\/span>wies auf die Unterschiede im Energieverbrauch zwischen konventionellen und KI-Server-Racks hin und erkl\u00e4rte: \"Ein Standard-Rack mit normalem Kit verbraucht etwa 4 kWh Strom, was einem Einfamilienhaus entspricht. Ein AI-Kit-Rack hingegen verbraucht etwa das 20-fache, also etwa 8 kWh.\"<\/span><\/p>\n

Wird die generative KI im Jahr 2024 abk\u00fchlen\"?<\/span><\/h2>\n

Aufgrund des steigenden Energiebedarfs und der Herausforderungen bei der Monetarisierung sagen einige voraus, dass generative KI im Jahr 2024 einer Realit\u00e4tspr\u00fcfung unterzogen wird.\u00a0<\/span><\/p>\n

Ben Wood, Chefanalyst bei CCS Insight, betonte, dass KI zwar tiefgreifende gesellschaftliche und wirtschaftliche Auswirkungen verspreche, dass aber die \"\u00fcberhypte\" Erz\u00e4hlung \u00fcber generative KI bald vor Herausforderungen stehen k\u00f6nnte, insbesondere f\u00fcr kleinere Entwickler.<\/span><\/p>\n

\"Allein die Kosten f\u00fcr den Einsatz und die Aufrechterhaltung von generativer KI sind immens. <\/span>Wood sagte CNBC<\/span><\/a>.\u00a0<\/span><\/p>\n

\"Und es ist sch\u00f6n und gut, dass diese gro\u00dfen Unternehmen dies tun. Aber f\u00fcr viele Organisationen, viele Entwickler, wird es einfach zu teuer werden.<\/span><\/p>\n

Wood weist auch darauf hin, dass die Dominanz von Nvidia in der KI-Hardwarebranche potenzielle Engp\u00e4sse mit sich bringt.\u00a0<\/span><\/p>\n

Gr\u00f6\u00dfere Unternehmen wie Amazon, Google und Meta arbeiten derzeit an KI-spezifischen Chips, um diesen immensen Rechenbedarf zu bew\u00e4ltigen, der enorm teuer ist.\u00a0<\/span><\/p>\n

Damit KI wirklich futuristische Visionen erf\u00fcllen kann, m\u00fcssen wir irgendwoher mehr Energie und Wasser beziehen. Wenn die Menschheit jedoch bald die Kernfusion und das Quantencomputing knacken kann, sieht die Sache schon anders aus...<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Eine neue Studie prognostiziert, dass der Energieverbrauch der KI-Industrie bis 2027 dem der Niederlande entsprechen k\u00f6nnte. Wenn sich das Wachstum der KI jedoch verlangsamt, k\u00f6nnten ihre Auswirkungen auf die Umwelt \"geringer als bef\u00fcrchtet\" sein, so die Studie. Alex De Vries, ein Doktorand an der VU Amsterdam School of Business and Economics, f\u00fchrte die Studie durch. Seine Projektionen gehen von bestimmten Bedingungen aus, wie der aktuellen Wachstumsrate der KI und der Verf\u00fcgbarkeit von Chips. Da Nvidia etwa 95% der in der Branche ben\u00f6tigten KI-Hardware liefert, verwendete De Vries die Stromverbrauchsdaten von Nvidia-Chips als Benchmarks. Durch die Bewertung der erwarteten Lieferungen von Nvidia bis<\/p>","protected":false},"author":2,"featured_media":6329,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[262,427,121],"class_list":["post-6328","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-energy-consumption","tag-energy-usage","tag-microsoft"],"yoast_head":"\nAI could consume equivalent energy as the Netherlands by 2027 | DailyAI<\/title>\n<meta name=\"description\" content=\"A new study forecasts that the energy consumption of the AI industry might equal that of the Netherlands by 2027.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/de\/2023\/10\/ai-could-consume-the-same-energy-as-the-netherlands-by-2027\/\" \/>\n<meta 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