{"id":4017,"date":"2025-05-30T15:43:58","date_gmt":"2025-05-30T15:43:58","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2025\/05\/30\/the-more-you-buy-the-more-you-make\/"},"modified":"2025-05-30T15:43:58","modified_gmt":"2025-05-30T15:43:58","slug":"the-more-you-buy-the-more-you-make","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2025\/05\/30\/the-more-you-buy-the-more-you-make\/","title":{"rendered":"The More You Buy, the More You Make"},"content":{"rendered":"<div>\n<p><!-- OneTrust Cookies Consent Notice start for nvidia.com --><\/p>\n<p><!-- OneTrust Cookies Consent Notice end for nvidia.com --><\/p>\n<p>\t<!-- This site is optimized with the Yoast SEO Premium plugin v25.2 (Yoast SEO v25.2) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ --><br \/>\n\t<title>The More You Buy, the More You Make | NVIDIA Blog<\/title><\/p>\n<p>\t<!-- \/ Yoast SEO Premium plugin. --><\/p>\n<p><!-- Stream WordPress user activity plugin v4.1.1 --><\/p>\n<p>\t\t\t\t<!-- Hotjar Tracking Code for NVIDIA --><\/p>\n<div id=\"page\" class=\"hfeed site\">\n\t<a class=\"skip-link screen-reader-text\" href=\"#content\">Skip to content<\/a><\/p>\n<p>\t<!-- #masthead --><\/p>\n<div class=\"full-width-layout dark\">\n<div class=\"full-width-layout__hero dark\">\n<div class=\"full-width-layout__hero-content dark\">\n<div class=\"full-width-layout__hero-content__inner dark\">\n<p>\n\t\t\t\t\tHow NVIDIA\u2019s AI factory platform balances maximum performance and minimum latency, optimizing AI inference to power the next industrial revolution.\t\t\t\t<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<p>\n\t\t<video class=\"full-width-layout__hero-video js-responsive-video\" autoplay muted loop playsinline data-sources='{\"desktop\":[{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/FINAL-The-More-You-Buy-Hero-Desktop.mp4\",\"type\":\"video\/mp4\"},{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/FINAL-The-More-You-Buy-Hero-Desktop.webm\",\"type\":\"video\/webm\"}],\"mobile\":[{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/FINAL-The-More-You-Buy-Hero-Phone.mp4\",\"type\":\"video\/mp4\"},{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/FINAL-The-More-You-Buy-Hero-Phone.webm\",\"type\":\"video\/webm\"}],\"tablet\":[{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/FINAL-The-More-You-Buy-Hero-Tablet.mp4\",\"type\":\"video\/mp4\"},{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/FINAL-The-More-You-Buy-Hero-Tablet.webm\",\"type\":\"video\/webm\"}]}'>Your browser does not support the video tag.<\/video>\t<\/p>\n<\/p><\/div>\n<div class=\"full-width-layout__sections\">\n<div class=\"full-width-layout__article-copy-section dark\">\n<div class=\"full-width-layout__copy\">\n<p>\u00a0<\/p>\n<p><span>When we prompt generative AI to answer a question or create an image, large language models generate tokens of intelligence that combine to provide the result.\u00a0<\/span><\/p>\n<p><span>One prompt. One set of tokens for the answer. This is called <\/span><a href=\"https:\/\/www.nvidia.com\/en-us\/solutions\/ai\/inference\/\"><span>AI inference<\/span><\/a><span>.<\/span><\/p>\n<\/div>\n<\/div>\n<p>\n\t<video class=\"full-width-layout__video js-responsive-video\" autoplay muted loop playsinline data-sources='{\"desktop\":[{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/one_shot_inference_horizontal-desktop.mp4\",\"type\":\"video\/mp4\"},{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/one_shot_inference_horizontal-desktop.webm\",\"type\":\"video\/webm\"}],\"tablet\":[{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/one_shot_inference_horizontal-tablet.mp4\",\"type\":\"video\/mp4\"},{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/one_shot_inference_horizontal-tablet.webm\",\"type\":\"video\/webm\"}],\"mobile\":[{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/one_shot_inference_vertical-phone.mp4\",\"type\":\"video\/mp4\"},{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/one_shot_inference_vertical-phone.webm\",\"type\":\"video\/webm\"}]}'>Your browser does not support the video tag.<\/video><\/p>\n<div class=\"full-width-layout__article-copy-section dark\">\n<div class=\"full-width-layout__copy\">\n<p><a href=\"https:\/\/blogs.nvidia.com\/blog\/what-is-agentic-ai\/\">Agentic AI<\/a> uses reasoning to complete tasks. AI agents aren\u2019t just providing one-shot answers. They break tasks down into a series of steps, each one a different inference technique.<\/p>\n<p>One prompt. Many sets of tokens to complete the job.<\/p>\n<\/div>\n<\/div>\n<p>\n\t<video class=\"full-width-layout__video js-responsive-video\" autoplay muted loop playsinline data-sources='{\"desktop\":[{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/agentic_inference_horizontal-dektop.mp4\",\"type\":\"video\/mp4\"},{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/agentic_inference_horizontal-dektop.webm\",\"type\":\"video\/webm\"}],\"tablet\":[{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/agentic_inference_horizontal-tablet.mp4\",\"type\":\"video\/mp4\"},{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/agentic_inference_horizontal-tablet.webm\",\"type\":\"video\/webm\"}],\"mobile\":[{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/agentic_inference_vertical-phone.mp4\",\"type\":\"video\/mp4\"},{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/agentic_inference_vertical-phone.webm\",\"type\":\"video\/webm\"}]}'>Your browser does not support the video tag.<\/video><\/p>\n<div class=\"full-width-layout__article-copy-section dark\">\n<div class=\"full-width-layout__copy\">\n<p>The engines of AI inference are called <a href=\"https:\/\/blogs.nvidia.com\/blog\/ai-factory\/\">AI factories<\/a> \u2014 massive infrastructures that serve AI to millions of users at once.<\/p>\n<p>AI factories generate AI tokens. Their product is intelligence. In the AI era, this intelligence grows revenue and profits. Growing revenue over time depends on how efficient the AI factory can be as it scales.<\/p>\n<p>AI factories are the machines of the next industrial revolution.<\/p>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__full-width-image-section\">\n\t\t\t<img decoding=\"async\" width=\"2048\" height=\"1152\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/aeirial-view-of-stargate-scaled.jpg\" class=\"full-width-layout__image\" alt=\"\" loading=\"lazy\">\t<\/p>\n<p>\t\t\t<span class=\"full-width-layout__media-credits\"><br \/>\n\t\t\tAerial view of Crusoe (Stargate)\t\t<\/span>\n\t<\/p>\n<\/div>\n<div class=\"full-width-layout__article-copy-section dark\">\n<div class=\"full-width-layout__copy\">\n<p>AI factories have to balance two competing demands to deliver optimal inference: speed per user and overall system throughput.<\/p>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__standard-image-section\">\n\t\t\t<img decoding=\"async\" width=\"1920\" height=\"1080\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/Coreweave-data-center.jpg\" class=\"full-width-layout__image\" alt=\"\" loading=\"lazy\">\t<\/p>\n<p>\t\t\t<span class=\"full-width-layout__media-credits\"><br \/>\n\t\t\tCoreWeave, 200MW, USA, scaling globally\t\t<\/span>\n\t<\/p>\n<\/div>\n<div class=\"full-width-layout__article-copy-section dark\">\n<div class=\"full-width-layout__copy\">\n<p>AI factories can improve both factors by scaling \u2014 to more FLOPS and higher bandwidth. They can group and process AI workloads to maximize productivity.<\/p>\n<p>But ultimately, AI factories are limited by the power they can access.<\/p>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__standard-image-section\">\n\t\t\t<img decoding=\"async\" width=\"1920\" height=\"1080\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/AI-factories-generate-intelligence-token-at-scale.jpg\" class=\"full-width-layout__image\" alt=\"\" loading=\"lazy\">\n\t<\/div>\n<div class=\"full-width-layout__article-copy-section dark\">\n<div class=\"full-width-layout__copy\">\n<p>In a 1-megawatt AI factory, an NVIDIA Hopper system with eight H100 GPUs connected by Infiniband generates 100 tokens per second (TPS) per user at the fastest, or 2.5 million TPS at max volume.<\/p>\n<p>But the real work happens in the space in between. Each dot along the curve represents batches of workloads for the AI factory to process \u2014 each with its own mix of performance demands.<\/p>\n<p>NVIDIA GPUs have the flexibility to handle this full spectrum of workloads because they can be programmed using <a href=\"https:\/\/developer.nvidia.com\/cuda-toolkit\">NVIDIA CUDA<\/a> software.<\/p>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__standard-image-section\">\n\t\t\t<img decoding=\"async\" width=\"1920\" height=\"1080\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/Hopper-ai-factory-performance.jpg\" class=\"full-width-layout__image\" alt=\"\" loading=\"lazy\">\n\t<\/div>\n<div class=\"full-width-layout__article-copy-section dark\">\n<div class=\"full-width-layout__copy\">\n<p>The <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/technologies\/blackwell-architecture\/\">NVIDIA Blackwell architecture<\/a> can do far more with 1 megawatt than the Hopper architecture \u2014 and there\u2019s more coming. Optimizing the software and hardware stacks means Blackwell gets faster and more efficient over time.<\/p>\n<p>Blackwell gets another boost when developers optimize the AI factory workloads autonomously with <a href=\"https:\/\/www.nvidia.com\/en-us\/ai\/dynamo\/\">NVIDIA Dynamo<\/a>, the new operating system for AI factories.<\/p>\n<\/div>\n<\/div>\n<p>\n\t<video class=\"full-width-layout__video js-responsive-video\" autoplay muted loop playsinline data-sources='{\"desktop\":[{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/FINAL_2025_Inference_Blackwell_Giant_Leap-Desktop.mp4\",\"type\":\"video\/mp4\"},{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/FINAL_2025_Inference_Blackwell_Giant_Leap-Desktop.webm\",\"type\":\"video\/webm\"}],\"mobile\":[{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/FINAL_2025_Inference_Blackwell_Giant_Leap-Phone.mp4\",\"type\":\"video\/mp4\"},{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/FINAL_2025_Inference_Blackwell_Giant_Leap-Phone.webm\",\"type\":\"video\/webm\"}],\"tablet\":[{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/FINAL_2025_Inference_Blackwell_Giant_Leap-Tablet.mp4\",\"type\":\"video\/mp4\"},{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/FINAL_2025_Inference_Blackwell_Giant_Leap-Tablet.webm\",\"type\":\"video\/webm\"}]}'>Your browser does not support the video tag.<\/video><\/p>\n<div class=\"full-width-layout__article-copy-section dark\">\n<div class=\"full-width-layout__copy\">\n<p>Dynamo breaks inference tasks into smaller components, dynamically routing and rerouting workloads to the most optimal compute resources available at that moment.<\/p>\n<p>The improvements are remarkable. In a single generational leap of processor architecture from Hopper to Blackwell, we can achieve a 50x improvement in <a href=\"https:\/\/www.nvidia.com\/en-us\/glossary\/ai-reasoning\/\">AI reasoning<\/a> performance using the same amount of energy.<\/p>\n<p>This is how NVIDIA full-stack integration and advanced software give customers massive speed and efficiency boosts in the time between chip architecture generations.<\/p>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__standard-image-section\">\n\t\t\t<img decoding=\"async\" width=\"1920\" height=\"1080\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/NVIDIA-Dynamo-scaled-1.jpg\" class=\"full-width-layout__image\" alt=\"\" loading=\"lazy\">\n\t<\/div>\n<div class=\"full-width-layout__article-copy-section dark\">\n<div class=\"full-width-layout__copy\">\n<p><span>We push this curve outward with each generation, from hardware to software, from compute to networking.<\/span><\/p>\n<p><span>And with each push forward in performance, AI can create trillions of dollars of productivity for NVIDIA\u2019s partners and customers around the globe \u2014 while bringing us one step closer to curing diseases, reversing climate change and uncovering some of the greatest secrets of the universe.<\/span><\/p>\n<p><span>This is compute turning into capital \u2014 and progress.<\/span><\/p>\n<\/div>\n<\/div>\n<p>\n\t<video class=\"full-width-layout__video js-responsive-video\" autoplay muted loop playsinline data-sources='{\"desktop\":[{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/CPTX25-Opening-Video-English-Desktop.mp4\",\"type\":\"video\/mp4\"}],\"mobile\":[{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/CPTX25-Opening-Video-English-Phone.mp4\",\"type\":\"video\/mp4\"}],\"tablet\":[{\"src\":\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/05\/CPTX25-Opening-Video-English-Tablet.mp4\",\"type\":\"video\/mp4\"}]}'>Your browser does not support the video tag.<\/video><\/p>\n<\/div><\/div>\n<p><!-- #colophon --><\/p>\n<\/div>\n<p><!-- #page --><\/p>\n<p>\t            <!-- #has-highlight-and-share -->\t\t<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/blogs.nvidia.com\/blog\/ai-factory-inference-optimization\/<\/p>\n","protected":false},"author":0,"featured_media":4018,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/4017"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=4017"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/4017\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/4018"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=4017"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=4017"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=4017"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}