{"id":117131,"date":"2025-11-20T10:00:47","date_gmt":"2025-11-20T03:00:47","guid":{"rendered":"https:\/\/wp.eastgate-software.com\/?p=117131"},"modified":"2026-04-01T15:21:16","modified_gmt":"2026-04-01T08:21:16","slug":"ai-inference-drives-cloud-native-boom-cncf-forecast-2025","status":"publish","type":"post","link":"https:\/\/wp.eastgate-software.com\/de\/ai-inference-drives-cloud-native-boom-cncf-forecast-2025\/","title":{"rendered":"KI-Inferenz treibt Cloud-nativen Boom an | CNCF-Prognose 2025"},"content":{"rendered":"<p><span data-contrast=\"auto\">Cloud-natives Computing befindet sich in einer Phase starken Wachstums, angetrieben durch den rasanten Anstieg von KI-Inferenz-Workloads. Auf der KubeCon North America 2025 in Atlanta pr\u00e4sentierten f\u00fchrende Vertreter der Cloud Native Computing Foundation (CNCF) ihre neuesten Entwicklungen.<\/span><span data-contrast=\"auto\">Es wird erwartet, dass in den n\u00e4chsten 18 Monaten Hunderte von Milliarden Dollar in neue KI-gest\u00fctzte Cloud-native L\u00f6sungen investiert werden. Dies markiert einen der bedeutendsten Infrastrukturwandel seit Beginn des Cloud-Zeitalters.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">KI-Inferenz ist heute der Hauptmotor f\u00fcr die KI-Einf\u00fchrung in Unternehmen. CNCF-Gesch\u00e4ftsf\u00fchrer Jonathan Bryce betonte, dass Inferenz der Punkt sei, an dem KI \u201cIntelligenz mit der Welt verbindet\u201d. Dadurch werden Modelle wie GPT-5.1 zu Echtzeitdiensten, die von Anwendungen, Agenten und Gesch\u00e4ftssystemen genutzt werden.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Da das Training von Spitzenmodellen extrem kostspielig ist (die gesch\u00e4tzten Trainingsl\u00e4ufe f\u00fcr GPT-5 liegen bei fast einer Milliarde), empfiehlt die CNCF Unternehmen dringend, kleinere, feinabgestimmte Open-Source-Modelle zu priorisieren und deren Nutzen durch Inferenz zu steigern. Diese Entwicklung hat die Nachfrage nach Cloud-nativen Inferenz-Engines wie KServe, NVIDIA NIM, Parasail.io, AIBrix und llm-d erh\u00f6ht. Diese Plattformen sind f\u00fcr die Bereitstellung und Verwaltung von KI-Workloads mithilfe von Containern und Kubernetes optimiert.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Zu den wichtigsten Vorteilen spezialisierter Inferenzplattformen geh\u00f6ren:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Niedrigere Betriebskosten<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Schnellere, dom\u00e4nenspezifische Leistung<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Verringerte Abh\u00e4ngigkeit von knappen High-End-GPUs<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Verbesserter Datenschutz und Kontrolle vor Ort<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Die Verantwortlichen der CNCF beschrieben eine Konvergenz zwischen Cloud-nativer und KI-nativer Entwicklung, wobei Kubernetes sich weiterentwickelt, um GPUs und TPUs in gro\u00dfem Umfang zu unterst\u00fctzen. Die CNCF k\u00fcndigte au\u00dferdem an, <\/span><span data-contrast=\"auto\">Ein zertifiziertes Kubernetes AI Conformity Program zur Standardisierung der Ausf\u00fchrung von KI-Workloads in verschiedenen Umgebungen, um eine Portabilit\u00e4t und Zuverl\u00e4ssigkeit \u00e4hnlich moderner Cloud-Anwendungen zu gew\u00e4hrleisten.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Der Aufstieg von KI-optimierten \u201cNeoclouds\u201d \u2013 GPU-as-a-Service-Anbietern, die ausschlie\u00dflich f\u00fcr KI-Training und -Inferenz entwickelt wurden \u2013 signalisiert zudem eine Neugestaltung des Cloud-Marktes.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Da die Inferenz-Workloads rasant zunehmen (Google verarbeitet mittlerweile \u00fcber 1,33 Billiarden Token pro Monat), prognostiziert die CNCF, dass die Nachfrage von Unternehmen nach skalierbarer, kosteneffizienter KI-Infrastruktur den Cloud-nativen Markt vorantreiben wird.<\/span><span data-contrast=\"auto\"> Die Computerbranche befindet sich in ihrem bisher st\u00e4rksten Wachstumszyklus.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Quelle:<\/span><\/b><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/www.zdnet.com\/article\/cloud-native-computing-is-poised-to-explode-thanks-to-ai-inference-work\/\"><span data-contrast=\"none\">https:\/\/www.zdnet.com\/article\/cloud-native-computing-is-poised-to-explode-thanks-to-ai-inference-work\/<\/span><\/a><span data-contrast=\"auto\">\u00a0<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Cloud-native computing is entering a high-growth phase, fueled by the rapid rise of AI inference workloads. At KubeCon North America 2025 in Atlanta, leaders from the Cloud Native Computing Foundation (CNCF) projected hundreds of billions of dollars in new AI-driven cloud-native spending over the next 18 months. This marks one of the most significant infrastructure [&hellip;]<\/p>","protected":false},"author":238283293,"featured_media":117132,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_crdt_document":"","inline_featured_image":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1584],"tags":[1488,1446],"class_list":["post-117131","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-enthusiast","tag-ai","tag-cloud-computing"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.4 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>AI Inference Drives Cloud-Native Boom | CNCF Forecast 2025 - Eastgate Software<\/title>\n<meta name=\"description\" content=\"AI inference is set to fuel massive growth in cloud-native computing, with CNCF predicting billions in new spending.\" \/>\n<meta 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