{"id":120317,"date":"2026-04-24T11:44:24","date_gmt":"2026-04-24T04:44:24","guid":{"rendered":"https:\/\/wp.eastgate-software.com\/?p=120317"},"modified":"2026-04-24T11:44:24","modified_gmt":"2026-04-24T04:44:24","slug":"nvidia-and-google-cut-ai-inference-costs-with-new-infrastructure","status":"publish","type":"post","link":"https:\/\/wp.eastgate-software.com\/de\/nvidia-and-google-cut-ai-inference-costs-with-new-infrastructure\/","title":{"rendered":"NVIDIA and Google cut AI inference costs with new infrastructure"},"content":{"rendered":"<p><span data-contrast=\"auto\">NVIDIA and Google Cloud are advancing AI infrastructure to dramatically reduce the cost of AI inference at scale. At the Google Cloud Next conference, both companies introduced a new generation of systems designed to deliver up to 10 times lower inference cost per token while achieving 10 times higher throughput per megawatt. This development signals a major shift in how enterprises can deploy AI workloads efficiently in production environments.<\/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\">The innovation focuses on A5X bare-metal instances powered by NVIDIA\u2019s Vera Rubin NVL72 architecture. These systems combine hardware and software co-design to optimise performance and energy efficiency. By using advanced networking technologies like NVIDIA ConnectX-9 SuperNICs and Google Virgo networking, the system can support many thousands of GPUs in one group, allowing for big AI tasks to be done quickly.<\/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\">This scale introduces new operational complexity, especially in managing workloads across distributed processors. To address this, NVIDIA and Google Cloud are also introducing managed training and orchestration tools that automate cluster sizing, failure recovery, and execution. These capabilities allow enterprises to focus on model performance rather than infrastructure management.<\/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 aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&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\"><span data-contrast=\"auto\">AI inference costs reduced by up to 10x\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&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\"><span data-contrast=\"auto\">Throughput per megawatt increased by 10x\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&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\"><span data-contrast=\"auto\">Infrastructure scales to hundreds of thousands of GPUs\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&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\"><span data-contrast=\"auto\">Managed systems reduce operational overhead\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Beyond performance, data governance and security remain critical. The infrastructure integrates confidential computing technologies to ensure that sensitive data used in training and inference\u00a0remains\u00a0encrypted, even within cloud environments. This is particularly important for regulated industries such as healthcare and finance.<\/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\">Ultimately, NVIDIA and Google Cloud are redefining the economics of AI deployment. By bringing together flexible infrastructure, improved networking, and built-in security, they are helping businesses shift from trying out AI to using it on a large scale in a way that is affordable, safe, and suitable for real-life use.<\/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.artificialintelligence-news.com\/news\/nvidia-and-google-infrastructure-cuts-ai-inference-costs\/\"><span data-contrast=\"none\">https:\/\/www.artificialintelligence-news.com\/news\/nvidia-and-google-infrastructure-cuts-ai-inference-costs\/<\/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>NVIDIA and Google Cloud are advancing AI infrastructure to dramatically reduce the cost of AI inference at scale. At the Google Cloud Next conference, both companies introduced a new generation of systems designed to deliver up to 10 times lower inference cost per token while achieving 10 times higher throughput per megawatt. This development signals [&hellip;]<\/p>","protected":false},"author":238283293,"featured_media":120319,"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],"class_list":["post-120317","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-enthusiast","tag-ai"],"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>NVIDIA and Google cut AI inference costs with new infrastructure - Eastgate Software<\/title>\n<meta name=\"description\" content=\"NVIDIA and Google Cloud unveil new infrastructure to reduce AI inference costs by up to 10x while improving performance and scalability.\" \/>\n<meta name=\"robots\" content=\"noindex, 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