{"id":4657,"date":"2025-07-18T04:12:54","date_gmt":"2025-07-18T04:12:54","guid":{"rendered":"https:\/\/techtrendfeed.com\/?p=4657"},"modified":"2025-07-18T04:12:54","modified_gmt":"2025-07-18T04:12:54","slug":"isambard-ai-the-uks-most-highly-effective-ai-supercomputer-goes-reside","status":"publish","type":"post","link":"https:\/\/techtrendfeed.com\/?p=4657","title":{"rendered":"Isambard-AI, the UK\u2019s Most Highly effective AI Supercomputer, Goes Reside"},"content":{"rendered":"
\n<\/p>\n
\n
<\/p>\n
<\/p>\n
<\/p>\n
\t \n\t \n\t<\/p>\n\n\t\n
\t<\/p>\n\n\n
\t \n\t
Isambard-AI, the UK\u2019s Most Highly effective AI Supercomputer, Goes Reside | NVIDIA Weblog<\/title>\n\t<link rel=\"canonical\" href=\"https:\/\/blogs.nvidia.com\/blog\/isambard-ai\/\"\/>\n\t<meta property=\"og:locale\" content=\"en_US\"\/><br \/>\n\t<meta property=\"og:type\" content=\"article\"\/><br \/>\n\t<meta property=\"og:title\" content=\"Isambard-AI, the UK\u2019s Most Powerful AI Supercomputer, Goes Live\"\/><br \/>\n\t<meta property=\"og:description\" content=\"The University of Bristol\u2019s Isambard-AI, powered by NVIDIA Grace Hopper Superchips, delivers 21 exaflops of AI performance, making it the fastest system in the U.K. and among the most energy-efficient globally.\"\/><br \/>\n\t<meta property=\"og:url\" content=\"https:\/\/blogs.nvidia.com\/blog\/isambard-ai\/\"\/><br \/>\n\t<meta property=\"og:site_name\" content=\"NVIDIA Blog\"\/><br \/>\n\t<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/NVIDIA\/\"\/><br \/>\n\t<meta property=\"article:published_time\" content=\"2025-07-17T17:00:50+00:00\"\/><br \/>\n\t<meta property=\"og:image\" content=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI_featured-still-scaled.png\"\/><br \/>\n\t<meta property=\"og:image:width\" content=\"2048\"\/><br \/>\n\t<meta property=\"og:image:height\" content=\"1143\"\/><br \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\"\/><br \/>\n\t<meta name=\"author\" content=\"Brian Caulfield\"\/><br \/>\n\t<meta name=\"twitter:card\" content=\"summary_large_image\"\/><br \/>\n\t<meta name=\"twitter:creator\" content=\"@NVIDIA\"\/><br \/>\n\t<meta name=\"twitter:site\" content=\"@NVIDIA\"\/><br \/>\n\t<meta name=\"twitter:label1\" content=\"Written by\"\/><br \/>\n\t<meta name=\"twitter:data1\" content=\"Brian Caulfield\"\/><br \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\"\/><br \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\"\/><\/p>\n<p>\t<\/p>\n<link rel=\"dns-prefetch\" href=\"https:\/\/info.nvidia.com\"\/>\n<link rel=\"alternate\" type=\"application\/rss+xml\" title=\"NVIDIA Blog \u00bb Feed\" href=\"https:\/\/blogs.nvidia.com\/feed\/\"\/>\n<link rel=\"alternate\" type=\"application\/rss+xml\" title=\"NVIDIA Blog \u00bb Comments Feed\" href=\"https:\/\/blogs.nvidia.com\/comments\/feed\/\"\/>\n<link rel=\"stylesheet\" id=\"wp-block-library-css\" href=\"https:\/\/blogs.nvidia.com\/wp-includes\/css\/dist\/block-library\/style.min.css?ver=6.8.2\" type=\"text\/css\" media=\"all\"\/>\n<link rel=\"stylesheet\" id=\"sr7css-css\" href=\"https:\/\/blogs.nvidia.com\/wp-content\/plugins\/revslider\/public\/css\/sr7.css?ver=6.7.35\" type=\"text\/css\" media=\"all\"\/>\n<link rel=\"stylesheet\" id=\"wpml-legacy-dropdown-0-css\" href=\"https:\/\/blogs.nvidia.com\/wp-content\/plugins\/sitepress-multilingual-cms\/templates\/language-switchers\/legacy-dropdown\/style.min.css?ver=1\" type=\"text\/css\" media=\"all\"\/>\n<link rel=\"stylesheet\" id=\"yith-infs-style-css\" href=\"https:\/\/blogs.nvidia.com\/wp-content\/plugins\/yith-infinite-scrolling\/assets\/css\/frontend.css?ver=2.2.0\" type=\"text\/css\" media=\"all\"\/>\n<link rel=\"stylesheet\" id=\"print-style-css\" href=\"https:\/\/blogs.nvidia.com\/wp-content\/themes\/nvidia-blog-v5\/assets\/css\/print.css\" type=\"text\/css\" media=\"print\"\/>\n<link rel=\"stylesheet\" id=\"nvb-single-css\" href=\"https:\/\/blogs.nvidia.com\/wp-content\/themes\/nvidia-blog-v5\/build\/single.css?ver=1748592174\" type=\"text\/css\" media=\"all\"\/>\n<link rel=\"stylesheet\" id=\"nvb-full-width-layout-css\" href=\"https:\/\/blogs.nvidia.com\/wp-content\/themes\/nvidia-blog-v5\/build\/full-width-layout.css?ver=1748592171\" type=\"text\/css\" media=\"all\"\/>\n<link rel=\"stylesheet\" id=\"tablepress-default-css\" href=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/tablepress-combined.min.css?ver=27\" type=\"text\/css\" media=\"all\"\/>\n<link rel=\"stylesheet\" id=\"bsfrt_frontend-css\" href=\"https:\/\/blogs.nvidia.com\/wp-content\/plugins\/read-meter\/assets\/css\/bsfrt-frontend-css.min.css?ver=1.0.10\" type=\"text\/css\" media=\"all\"\/>\n<link rel=\"stylesheet\" id=\"colorbox-css\" href=\"https:\/\/blogs.nvidia.com\/wp-content\/plugins\/lightbox-gallery\/colorbox\/example1\/colorbox.css?ver=6.8.2\" type=\"text\/css\" media=\"all\"\/>\n<link rel=\"EditURI\" type=\"application\/rsd+xml\" title=\"RSD\" href=\"https:\/\/blogs.nvidia.com\/xmlrpc.php?rsd\"\/>\n<meta name=\"generator\" content=\"WordPress 6.8.2\"\/>\n<link rel=\"shortlink\" href=\"https:\/\/blogs.nvidia.com\/?p=82950\"\/>\n<link rel=\"alternate\" title=\"oEmbed (JSON)\" type=\"application\/json+oembed\" href=\"https:\/\/blogs.nvidia.com\/wp-json\/oembed\/1.0\/embed?url=https%3A%2F%2Fblogs.nvidia.com%2Fblog%2Fisambard-ai%2F\"\/>\n<link rel=\"alternate\" title=\"oEmbed (XML)\" type=\"text\/xml+oembed\" href=\"https:\/\/blogs.nvidia.com\/wp-json\/oembed\/1.0\/embed?url=https%3A%2F%2Fblogs.nvidia.com%2Fblog%2Fisambard-ai%2F&format=xml\"\/>\n<br \/>\n<meta name=\"generator\" content=\"WPML ver:4.7.6 stt:1,28,2;\"\/>\n<link type=\"text\/css\" rel=\"stylesheet\" href=\"https:\/\/blogs.nvidia.com\/wp-content\/plugins\/simple-pull-quote\/css\/simple-pull-quote.css\"\/>\n\t<meta name=\"google-site-verification\" content=\"fRN6Tokx0As6AGYPd4zjMBgITWR2dvXjN6Zb3gojo-Y\"\/><br \/>\n\t<meta property=\"interest\" content=\"Data Center \/ Cloud\"\/><meta property=\"industry\" content=\"Public Sector\"\/>\t\t\t<\/p>\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/www.nvidia.com\/content\/dam\/1x1-00000000.png\"\/>\n<link rel=\"preconnect\" href=\"https:\/\/fonts.googleapis.com\"\/>\n<link rel=\"preconnect\" href=\"https:\/\/fonts.gstatic.com\/\" crossorigin=\"\"\/>\n<meta name=\"generator\" content=\"Powered by Slider Revolution 6.7.35 - responsive, Mobile-Friendly Slider Plugin for WordPress with comfortable drag and drop interface.\"\/><\/p>\n<p>\t\t<\/head><br \/>\n<body class=\"wp-singular post-template post-template-full-width-layout-template post-template-full-width-layout-template-php single single-post postid-82950 single-format-standard wp-theme-nvidia-blog-v5 group-blog non-aggregation-view site-lang-en has-body\" id=\"wp_automatic_ReadabilityBody\"><br \/>\n <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.nvidia.com\/content\/dam\/1x1-00000000.png\" width=\"1\" height=\"1\" style=\"display:none;\" alt=\"country_code\"\/><\/p>\n<div id=\"page\" class=\"hfeed site\">\n\t<a rel=\"nofollow\" target=\"_blank\" class=\"skip-link screen-reader-text\" href=\"#content\">Skip to content material<\/a><\/p>\n<p>\t<\/p>\n<div class=\"full-width-layout light\">\n<div class=\"full-width-layout__hero light\">\n<div class=\"full-width-layout__hero-content light\">\n<div class=\"full-width-layout__hero-content__inner light\">\n<p>\n\t\t\t\t\tThe College of Bristol\u2019s Isambard-AI, powered by NVIDIA Grace Hopper Superchips, delivers 21 exaflops of AI efficiency, making it the quickest system within the U.Ok. and among the many most energy-efficient globally.\t\t\t\t<\/p>\n<\/p><\/div><\/div>\n<p>\n\t\t<video class=\"full-width-layout__hero-video js-responsive-video\" autoplay=\"\" muted=\"\" loop=\"\" playsinline=\"\" data-sources=\"{"tablet":[{"src":"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI_Tablet_1280-x-720.webm","type":"video\/webm"},{"src":"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI_Tablet_1280-x-720.mp4","type":"video\/mp4"}],"desktop":[{"src":"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI_Desktop_2560-x-1440.webm","type":"video\/webm"},{"src":"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-Desktop-_-sized.mp4","type":"video\/mp4"}],"mobile":[{"src":"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI_Phone_768-x-432.mp4","type":"video\/mp4"},{"src":"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI_Phone_768-x-432.webm","type":"video\/webm"}]}\">Your browser doesn’t help 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 light\">\n<div class=\"full-width-layout__copy\">\n<p>The U.Ok. has formally joined the premier league of world AI infrastructure \u2014 and it\u2019s not beginning small.<\/p>\n<p>At a ribbon-cutting ceremony on the Bristol Centre for Supercomputing (BriCS), leaders at this time unveiled Isambard-AI, probably the most highly effective AI supercomputer ever constructed within the U.Ok.<\/p>\n<p>U.Ok. Secretary of State Peter Kyle was joined by leaders from throughout academia, trade and authorities, together with Simon McIntosh-Smith, director of the Bristol Centre for Supercomputing, and Neil MacDonald, government vice chairman and common supervisor\u202f for Hewlett Packard Enterprise\u2019s server enterprise.<\/p>\n<p class=\"x_MsoNormal\"><span>\u201c<\/span><span>And as we press this swap to activate the UK\u2019s strongest supercomputer, we’re embarking on Britain\u2019s tremendous future the place AI contributes in direction of the supply of higher public companies, better public prosperity, deeper scientific discovery and stronger nationwide safety,<\/span><span>\u201d Kyle mentioned.<\/span><\/p>\n<p class=\"x_MsoNormal\"><span>\u00a0<\/span>The numbers again up Kyle\u2019s assertion:<\/p>\n<ul>\n<li>21 exaflops of AI efficiency<\/li>\n<li>5,448 NVIDIA GH200 Grace Hopper Superchips<\/li>\n<li>Set to rank eleventh worldwide on the newest TOP500 record of world\u2019s quickest supercomputers<\/li>\n<li>Greater than 10x quicker than the next-fastest supercomputer within the U.Ok. Extra computing energy than all different U.Ok. supercomputers mixed<\/li>\n<li>Ranked fourth globally for power effectivity<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__full-width-image-section\">\n\t\t\t<img width=\"2048\" height=\"1368\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-22-scaled.jpg\" class=\"full-width-layout__image\" alt=\"Engineering teams working collaboratively to maneuver and install components, illustrating the complex and coordinated effort behind the build.\" loading=\"lazy\" sizes=\"auto, 100vw\" decoding=\"async\" srcset=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-22-scaled.jpg 2048w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-22-960x641.jpg 960w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-22-1680x1122.jpg 1680w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-22-1280x855.jpg 1280w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-22-1536x1026.jpg 1536w\"\/>\t<\/p>\n<p>\n\t\t\t<span class=\"full-width-layout__media-caption-callout\"><br \/>\n\t\t\tEngineering groups working collaboratively to maneuver and set up elements inside the supercomputer\u2019s information corridor, illustrating the advanced and coordinated effort behind the construct.\t\t<\/span><\/p>\n<\/div>\n<div class=\"full-width-layout__article-copy-section light\">\n<h2 class=\"full-width-layout__heading\">Why It Issues<\/h2>\n<div class=\"full-width-layout__copy\">\n<p>Isambard-AI provides U.Ok. researchers and companies a once-in-a-generation leap in computing energy. It\u2019s a platform to speed up breakthroughs in:<\/p>\n<ul>\n<li>AI-driven drug discovery<\/li>\n<li>Superior local weather modeling<\/li>\n<li>Supplies science<\/li>\n<li>Massive language fashions (<a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/glossary\/large-language-models\/\">LLMs<\/a>) tuned to U.Ok. languages and legal guidelines<\/li>\n<\/ul>\n<p>Backed by \u00a3225 million in authorities funding and constructed with NVIDIA, HPE, the College of Bristol and others, Isambard-AI alerts a transparent ambition: to steer in AI, the U.Ok. should lead in compute.<\/p>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__dual-image-row-section light\">\n\t\t\t\t<img width=\"2048\" height=\"1368\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-01-scaled.jpg\" class=\"full-width-layout__dual-image-row-image\" alt=\"Simon McIntosh-Smith, director of the Bristol Centre for Supercomputing, with Simon Appleby, AI business lead at HPE.\" loading=\"lazy\" sizes=\"auto, (min-width: 1280px) 581px, (min-width: 780px) calc(43.75vw + 30px), 100vw\" decoding=\"async\" srcset=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-01-scaled.jpg 2048w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-01-960x641.jpg 960w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-01-1680x1122.jpg 1680w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-01-1280x855.jpg 1280w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-01-1536x1026.jpg 1536w\"\/><figcaption class=\"full-width-layout__dual-image-row-caption full-width-layout__caption\">\n\t\t\t\t\t\t\t<span class=\"full-width-layout__caption-text\"><br \/>\n\t\t\t\tSimon McIntosh-Smith, director of the Bristol Centre for Supercomputing, with Simon Appleby, AI enterprise lead at HPE. \t\t\t<\/span><\/p>\n<\/figcaption><img width=\"2048\" height=\"1368\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025_02_04-03-scaled.jpg\" class=\"full-width-layout__dual-image-row-image\" alt=\"A glimpse into the project\u2019s strategic planning, showing a screen outlining the ambitious goal of installing multiple supercomputers, including Isambard-AI\u2019s phases, within 12 months.\" loading=\"lazy\" sizes=\"auto, (min-width: 1280px) 581px, (min-width: 780px) calc(43.75vw + 30px), 100vw\" decoding=\"async\" srcset=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025_02_04-03-scaled.jpg 2048w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025_02_04-03-960x641.jpg 960w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025_02_04-03-1680x1122.jpg 1680w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025_02_04-03-1280x855.jpg 1280w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025_02_04-03-1536x1026.jpg 1536w\"\/><figcaption class=\"full-width-layout__dual-image-row-caption full-width-layout__caption\">\n\t\t\t\t\t\t\t<span class=\"full-width-layout__caption-text\"><br \/>\n\t\t\t\tA glimpse into the undertaking\u2019s strategic planning, exhibiting a display screen outlining the bold aim of putting in a number of supercomputers, together with Isambard-AI\u2019s phases, inside 12 months.\t\t\t<\/span><\/p>\n<\/figcaption><\/div>\n<div class=\"full-width-layout__article-copy-section light\">\n<h2 class=\"full-width-layout__heading\">A Turning Level for UK Science<\/h2>\n<div class=\"full-width-layout__copy\">\n<p>Named after Isambard Kingdom Brunel \u2014 the Nineteenth-century engineer who reshaped Britain with railways, bridges and ships \u2014 Isambard-AI brings that very same scale of ambition to AI analysis.<\/p>\n<p>And like Brunel\u2019s tasks throughout his period, it strikes quick. Having gone from conception to deployment in just below two years, together with the development of the modular information middle in 48 hours, the supercomputer is already operating stay tasks aligned with nationwide priorities.<\/p>\n<p>Early flagship tasks embody:<\/p>\n<ul>\n<li><b>Nightingale AI:<\/b> A sovereign, multimodal well being basis mannequin skilled on Nationwide Well being Service (NHS) information to help earlier diagnoses and customized care.<\/li>\n<li><b>BritLLM<\/b>: A U.Ok.-developed LLM undertaking supporting British languages like Welsh, alongside English, to advertise inclusivity and higher public service supply in healthcare, training and public companies.<\/li>\n<li><b>UCL Most cancers Screening AI<\/b>: Creating the primary scalable AI system for prostate most cancers detection through MRI, aiming for quicker diagnoses and tailor-made therapies.<\/li>\n<li><b>EIMCRYSTAL (College of Liverpool)<\/b>: Utilizing AI to look 68 million chemical combos to find greener, extra sustainable industrial supplies \u2014 decreasing reliance on uncommon or poisonous inputs.<\/li>\n<li><b>EgoAI (College of Bristol):<\/b> Utilizing AI to investigate recordings from wearable cameras and different sensible units to assist individuals carry out duties higher at house. This holds immense promise for helping dementia sufferers sooner or later.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__full-width-image-section\">\n\t\t\t<img width=\"2048\" height=\"1368\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-29-scaled.jpg\" class=\"full-width-layout__image\" alt=\"A technician carefully installs a server blade equipped with direct liquid cooling, demonstrating the hands-on precision involved in assembling Isambard-AI\u2019s advanced computing infrastructure.\" loading=\"lazy\" sizes=\"auto, 100vw\" decoding=\"async\" srcset=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-29-scaled.jpg 2048w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-29-960x641.jpg 960w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-29-1680x1122.jpg 1680w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-29-1280x855.jpg 1280w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-29-1536x1026.jpg 1536w\"\/>\t<\/p>\n<p>\n\t\t\t<span class=\"full-width-layout__media-caption-callout\"><br \/>\n\t\t\tA technician rigorously installs a server blade geared up with direct liquid cooling, demonstrating the hands-on precision concerned in assembling Isambard-AI\u2019s superior computing infrastructure.\t\t<\/span><\/p>\n<\/div>\n<div class=\"full-width-layout__article-copy-section light\">\n<h2 class=\"full-width-layout__heading\">Constructed Quick, Constructed Good<\/h2>\n<div class=\"full-width-layout__copy\">\n<p>How do you construct a supercomputer in half the same old time?<\/p>\n<p>\u201cWe handled the undertaking like a high-performance processor,\u201d mentioned Simon McIntosh-Smith, director at BriCS. \u201cWe executed all the things in parallel.\u201d<\/p>\n<p>Key to this velocity:<\/p>\n<ul>\n<li>Parallelized undertaking administration<\/li>\n<li>Early procurement of vital {hardware}, significantly GPUs<\/li>\n<li>Prefabricated modular information halls shipped in and assembled in days<\/li>\n<li>Relentless optimization of supply timelines<\/li>\n<li>Floor broke in June 2024. By June 2025, the complete 5-megawatt system was stay: constructed, examined and operating at a world scale.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__full-width-image-section\">\n\t\t\t<img width=\"2048\" height=\"1368\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.27-3-scaled.jpg\" class=\"full-width-layout__image\" alt=\"A close-up of the intricate network of liquid-cooling pipes, a crucial component of Isambard-AI\u2019s world-class energy efficiency and ability to pack 440 GPUs per cabinet.\" loading=\"lazy\" sizes=\"auto, 100vw\" decoding=\"async\" srcset=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.27-3-scaled.jpg 2048w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.27-3-960x641.jpg 960w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.27-3-1680x1122.jpg 1680w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.27-3-1280x855.jpg 1280w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.27-3-1536x1026.jpg 1536w\"\/>\t<\/p>\n<p>\n\t\t\t<span class=\"full-width-layout__media-caption-callout\"><br \/>\n\t\t\tA detailed-up of the intricate community of liquid-cooling pipes, a vital part of Isambard-AI\u2019s world-class power effectivity and skill to pack 440 GPUs per cupboard.\t\t<\/span><\/p>\n<\/div>\n<div class=\"full-width-layout__article-copy-section light\">\n<h2 class=\"full-width-layout__heading\">World-Class Effectivity<\/h2>\n<div class=\"full-width-layout__copy\">\n<p>Isambard-AI isn’t just quick \u2014 it\u2019s inexperienced.<\/p>\n<ul>\n<li>Ranked fourth globally on the Green500 record<\/li>\n<li>Powered by NVIDIA GH200 Superchips, among the many most effective chips out there<\/li>\n<li>Direct liquid-cooling structure from HPE packs 440 GPUs per cupboard<\/li>\n<li>Hybrid cooling towers allow >90% dry, waterless operation<\/li>\n<li>Totally powered by zero-carbon electrical energy<\/li>\n<li>Engineered with the potential to recycle waste warmth<\/li>\n<li>Total energy utilization effectiveness under 1.1, among the many greatest ever achieved<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__full-width-image-section\">\n\t\t\t<img width=\"2048\" height=\"1366\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-43-scaled.jpg\" class=\"full-width-layout__image\" alt=\"An aerial view of the Isambard-AI construction site, illustrating the scale of the modular data center build and the rapid progress made in creating the U.K.\u2019s most powerful AI supercomputer.\" loading=\"lazy\" sizes=\"auto, 100vw\" decoding=\"async\" srcset=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-43-scaled.jpg 2048w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-43-960x640.jpg 960w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-43-1680x1120.jpg 1680w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-43-1280x853.jpg 1280w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-AI-2025.03.24-43-1536x1024.jpg 1536w\"\/>\t<\/p>\n<p>\n\t\t\t<span class=\"full-width-layout__media-caption-callout\"><br \/>\n\t\t\tAn aerial view of the Isambard-AI development web site, illustrating the size of the modular information middle construct and the fast progress made in creating the U.Ok.\u2019s strongest AI supercomputer.\t\t<\/span><\/p>\n<\/div>\n<div class=\"full-width-layout__article-copy-section light\">\n<h2 class=\"full-width-layout__heading\">A Nationwide Asset<\/h2>\n<div class=\"full-width-layout__copy\">\n<p>Entry will probably be managed by the U.Ok. Division for Science, Innovation, and Know-how and U.Ok. Analysis and Innovation, with an emphasis on aligning utilization with nationwide priorities, enabling smaller establishments and startups, and supporting each analysis and business innovation.<\/p>\n<p>The U.Ok. now has an AI infrastructure asset that matches its ambitions, not only for headline moments however for deep, lasting nationwide impression.<\/p>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__full-width-image-section\">\n\t\t\t<img width=\"2048\" height=\"819\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-infographic_update-scaled.jpg\" class=\"full-width-layout__image\" alt=\"\" loading=\"lazy\" sizes=\"auto, 100vw\" decoding=\"async\" srcset=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-infographic_update-scaled.jpg 2048w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-infographic_update-960x384.jpg 960w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-infographic_update-1680x672.jpg 1680w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-infographic_update-1280x512.jpg 1280w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/Isambard-infographic_update-1536x614.jpg 1536w\"\/>\n\t<\/div>\n<div class=\"full-width-layout__article-copy-section light\">\n<h2 class=\"full-width-layout__heading\">The UK\u2019s AI Playbook: Infrastructure, Funding, Acceleration<\/h2>\n<div class=\"full-width-layout__copy\">\n<p>The launch of Isambard-AI marks an enormous leap for the U.Ok., one a part of a broader, coordinated push to place Britain on the forefront of AI.<\/p>\n<p>From supercomputers to abilities applications, Britain is constructing the instruments to steer in AI \u2014 by itself phrases.<\/p>\n<p><em>Photos and video courtesy of the <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/bristol.ac.uk\/research\/centres\/bristol-supercomputing\/\">Bristol Centre for Supercomputing<\/a>.\u00a0<\/em><\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"full-width-layout__news-section\">\n<p>Associated Information<\/p>\n<div class=\"full-width-layout__news\">\n<article class=\"full-width-layout__news-post-tile post-83097 post type-post status-publish format-standard has-post-thumbnail hentry category-gaming tag-cloud-gaming tag-geforce-now loop-item-1 for-pagenum-1\" id=\"related-news-post-83097\" role=\"article\" aria-labelledby=\"related-news-post-title-83097\" aria-describedby=\"related-news-post-desc-83097\">\n\t<a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/blogs.nvidia.com\/blog\/geforce-now-thursday-robocop-rogue-city-unfinished-business\/\" aria-hidden=\"true\" tabindex=\"-1\"><br \/>\n\t\t<img width=\"960\" height=\"510\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/gfn-thursday-7-17-nv-blog-1280x680-logo-960x510.jpg\" class=\"attachment-medium size-medium\" alt=\"\" aria-hidden=\"true\" loading=\"lazy\" decoding=\"async\" srcset=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/gfn-thursday-7-17-nv-blog-1280x680-logo-960x510.jpg 960w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/gfn-thursday-7-17-nv-blog-1280x680-logo.jpg 1280w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\"\/>\t<\/a><\/p>\n<p>\t<a rel=\"nofollow\" target=\"_blank\" id=\"related-news-post-title-83097\" class=\"full-width-layout__news-post-title\" href=\"https:\/\/blogs.nvidia.com\/blog\/geforce-now-thursday-robocop-rogue-city-unfinished-business\/\"><br \/>\n\t\tGeForce NOW Delivers Justice With \u2018RoboCop: Rogue Metropolis \u2014 Unfinished Enterprise\u2019\t<\/a><\/p>\n<div id=\"related-news-post-desc-83097\" class=\"full-width-layout__news-post-excerpt light\">\n\t\tPay attention up residents, the regulation is again and patrolling the cloud. Nacon\u2019s RoboCop Rogue Metropolis \u2014 Unfinished Enterprise launches at this time within the cloud, bringing justice to each gadget, in every single place. Log… <a rel=\"nofollow\" target=\"_blank\" class=\"read-more\" aria-hidden=\"true\" tabindex=\"-1\" href=\"https:\/\/blogs.nvidia.com\/blog\/geforce-now-thursday-robocop-rogue-city-unfinished-business\/\">\t\tLearn Article <span data-icon=\"y\"\/> <\/a>\t<\/div>\n<\/article>\n<article class=\"full-width-layout__news-post-tile post-83081 post type-post status-publish format-standard has-post-thumbnail hentry category-generative-ai tag-artificial-intelligence tag-geforce tag-nvidia-rtx tag-rtx-ai-garage loop-item-1 for-pagenum-1\" id=\"related-news-post-83081\" role=\"article\" aria-labelledby=\"related-news-post-title-83081\" aria-describedby=\"related-news-post-desc-83081\">\n\t<a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/blogs.nvidia.com\/blog\/rtx-ai-garage-g-assist-hackathon-plug-in-last-chance\/\" aria-hidden=\"true\" tabindex=\"-1\"><br \/>\n\t\t<img width=\"960\" height=\"510\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/g-assist-hackathon-nv-blog-1280x680-1-960x510.jpg\" class=\"attachment-medium size-medium\" alt=\"\" aria-hidden=\"true\" loading=\"lazy\" decoding=\"async\" srcset=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/g-assist-hackathon-nv-blog-1280x680-1-960x510.jpg 960w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/g-assist-hackathon-nv-blog-1280x680-1.jpg 1280w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\"\/>\t<\/a><\/p>\n<p>\t<a rel=\"nofollow\" target=\"_blank\" id=\"related-news-post-title-83081\" class=\"full-width-layout__news-post-title\" href=\"https:\/\/blogs.nvidia.com\/blog\/rtx-ai-garage-g-assist-hackathon-plug-in-last-chance\/\"><br \/>\n\t\tDeadline Prolonged \u2014 Create a Undertaking G-Help Plug-In for a Probability to Win an NVIDIA GeForce RTX GPU and Laptop computer\t<\/a><\/p>\n<div id=\"related-news-post-desc-83081\" class=\"full-width-layout__news-post-excerpt light\">\n\t\tSubmissions for NVIDIA\u2019s Plug and Play: Undertaking G-Help Plug-In Hackathon are due Sunday, July 20, at 11:59pm PT. RTX AI Storage affords all of the instruments and assets to assist. The… <a rel=\"nofollow\" target=\"_blank\" class=\"read-more\" aria-hidden=\"true\" tabindex=\"-1\" href=\"https:\/\/blogs.nvidia.com\/blog\/rtx-ai-garage-g-assist-hackathon-plug-in-last-chance\/\">\t\tLearn Article <span data-icon=\"y\"\/> <\/a>\t<\/div>\n<\/article>\n<article class=\"full-width-layout__news-post-tile post-83088 post type-post status-publish format-standard has-post-thumbnail hentry category-corporate tag-artificial-intelligence loop-item-1 for-pagenum-1\" id=\"related-news-post-83088\" role=\"article\" aria-labelledby=\"related-news-post-title-83088\" aria-describedby=\"related-news-post-desc-83088\">\n\t<a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/blogs.nvidia.com\/blog\/nvidia-ceo-promotes-ai-in-dc-and-china\/\" aria-hidden=\"true\" tabindex=\"-1\"><br \/>\n\t\t<img width=\"960\" height=\"510\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2024\/04\/nvidiaheadquarters-960x510.jpg\" class=\"attachment-medium size-medium\" alt=\"\" aria-hidden=\"true\" loading=\"lazy\" decoding=\"async\" srcset=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2024\/04\/nvidiaheadquarters-960x510.jpg 960w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2024\/04\/nvidiaheadquarters.jpg 1280w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\"\/>\t<\/a><\/p>\n<p>\t<a rel=\"nofollow\" target=\"_blank\" id=\"related-news-post-title-83088\" class=\"full-width-layout__news-post-title\" href=\"https:\/\/blogs.nvidia.com\/blog\/nvidia-ceo-promotes-ai-in-dc-and-china\/\"><br \/>\n\t\tNVIDIA CEO Jensen Huang Promotes AI in Washington, DC and China\t<\/a><\/p>\n<div id=\"related-news-post-desc-83088\" class=\"full-width-layout__news-post-excerpt light\">\n\t\tThis month, NVIDIA founder and\u202fCEO Jensen\u202fHuang promoted AI in each Washington, D.C. and Beijing \u2014 emphasizing the advantages that AI will deliver to enterprise and society worldwide.\u00a0 Within the U.S…. <a rel=\"nofollow\" target=\"_blank\" class=\"read-more\" aria-hidden=\"true\" tabindex=\"-1\" href=\"https:\/\/blogs.nvidia.com\/blog\/nvidia-ceo-promotes-ai-in-dc-and-china\/\">\t\tLearn Article <span data-icon=\"y\"\/> <\/a>\t<\/div>\n<\/article>\n<article class=\"full-width-layout__news-post-tile post-83039 post type-post status-publish format-standard has-post-thumbnail hentry category-deep-learning tag-artificial-intelligence tag-geforce loop-item-1 for-pagenum-1\" id=\"related-news-post-83039\" role=\"article\" aria-labelledby=\"related-news-post-title-83039\" aria-describedby=\"related-news-post-desc-83039\">\n\t<a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/blogs.nvidia.com\/blog\/gaming-gpu-ceramics\/\" aria-hidden=\"true\" tabindex=\"-1\"><br \/>\n\t\t<img width=\"960\" height=\"640\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/AdobeStock_345973842-960x640.jpeg\" class=\"attachment-medium size-medium\" alt=\"\" aria-hidden=\"true\" loading=\"lazy\" decoding=\"async\" srcset=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/AdobeStock_345973842-960x640.jpeg 960w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/AdobeStock_345973842-1680x1120.jpeg 1680w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/AdobeStock_345973842-1280x853.jpeg 1280w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/AdobeStock_345973842-1536x1024.jpeg 1536w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/07\/AdobeStock_345973842-scaled.jpeg 2048w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\"\/>\t<\/a><\/p>\n<p>\t<a rel=\"nofollow\" target=\"_blank\" id=\"related-news-post-title-83039\" class=\"full-width-layout__news-post-title\" href=\"https:\/\/blogs.nvidia.com\/blog\/gaming-gpu-ceramics\/\"><br \/>\n\t\tA Gaming GPU Helps Crack the Code on a Thousand-12 months Cultural Dialog\t<\/a><\/p>\n<div id=\"related-news-post-desc-83039\" class=\"full-width-layout__news-post-excerpt light\">\n\t\tCeramics \u2014 the standard mixture of earth, hearth and artistry \u2014 have been a part of a world dialog for millennia. From Tang Dynasty commerce routes to Renaissance palaces, from museum… <a rel=\"nofollow\" target=\"_blank\" class=\"read-more\" aria-hidden=\"true\" tabindex=\"-1\" href=\"https:\/\/blogs.nvidia.com\/blog\/gaming-gpu-ceramics\/\">\t\tLearn Article <span data-icon=\"y\"\/> <\/a>\t<\/div>\n<\/article><\/div><\/div><\/div>\n<p><\/p>\n<\/div>\n<p>\n<link rel=\"stylesheet\" id=\"highlight-and-share-css\" href=\"https:\/\/blogs.nvidia.com\/wp-content\/plugins\/highlight-and-share\/dist\/has-themes.css?ver=5.1.0\" type=\"text\/css\" media=\"all\"\/>\n<p>\t\t<svg width=\"0\" height=\"0\" class=\"hidden\" style=\"display: none;\">\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fas\" data-icon=\"twitter\" viewbox=\"0 0 24 24\" id=\"has-twitter-icon\">\n\t\t\t\t<g><path fill=\"currentColor\" d=\"M18.244 2.25h3.308l-7.227 8.26 8.502 11.24H16.17l-5.214-6.817L4.99 21.75H1.68l7.73-8.835L1.254 2.25H8.08l4.713 6.231zm-1.161 17.52h1.833L7.084 4.126H5.117z\"\/><\/g>\n\t\t\t<\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fas\" data-icon=\"facebook\" viewbox=\"0 0 320 512\" id=\"has-facebook-icon\">\n\t\t\t\t<path fill=\"currentColor\" d=\"M279.14 288l14.22-92.66h-88.91v-60.13c0-25.35 12.42-50.06 52.24-50.06h40.42V6.26S260.43 0 225.36 0c-73.22 0-121.08 44.38-121.08 124.72v70.62H22.89V288h81.39v224h100.17V288z\"\/>\n\t\t\t<\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fas\" data-icon=\"at\" viewbox=\"0 0 512 512\" id=\"has-email-icon\">\n\t\t\t\t<path fill=\"currentColor\" d=\"M256 8C118.941 8 8 118.919 8 256c0 137.059 110.919 248 248 248 48.154 0 95.342-14.14 135.408-40.223 12.005-7.815 14.625-24.288 5.552-35.372l-10.177-12.433c-7.671-9.371-21.179-11.667-31.373-5.129C325.92 429.757 291.314 440 256 440c-101.458 0-184-82.542-184-184S154.542 72 256 72c100.139 0 184 57.619 184 160 0 38.786-21.093 79.742-58.17 83.693-17.349-.454-16.91-12.857-13.476-30.024l23.433-121.11C394.653 149.75 383.308 136 368.225 136h-44.981a13.518 13.518 0 0 0-13.432 11.993l-.01.092c-14.697-17.901-40.448-21.775-59.971-21.775-74.58 0-137.831 62.234-137.831 151.46 0 65.303 36.785 105.87 96 105.87 26.984 0 57.369-15.637 74.991-38.333 9.522 34.104 40.613 34.103 70.71 34.103C462.609 379.41 504 307.798 504 232 504 95.653 394.023 8 256 8zm-21.68 304.43c-22.249 0-36.07-15.623-36.07-40.771 0-44.993 30.779-72.729 58.63-72.729 22.292 0 35.601 15.241 35.601 40.77 0 45.061-33.875 72.73-58.161 72.73z\"\/>\n\t\t\t<\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fas\" data-icon=\"linkedin\" viewbox=\"0 0 448 512\" id=\"has-linkedin-icon\">\n\t\t\t\t<path fill=\"currentColor\" d=\"M100.28 448H7.4V148.9h92.88zM53.79 108.1C24.09 108.1 0 83.5 0 53.8a53.79 53.79 0 0 1 107.58 0c0 29.7-24.1 54.3-53.79 54.3zM447.9 448h-92.68V302.4c0-34.7-.7-79.2-48.29-79.2-48.29 0-55.69 37.7-55.69 76.7V448h-92.78V148.9h89.08v40.8h1.3c12.4-23.5 42.69-48.3 87.88-48.3 94 0 111.28 61.9 111.28 142.3V448z\"\/>\n\t\t\t<\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fas\" data-icon=\"xing\" viewbox=\"0 0 384 512\" id=\"has-xing-icon\">\n\t\t\t\t<path fill=\"currentColor\" d=\"M162.7 210c-1.8 3.3-25.2 44.4-70.1 123.5-4.9 8.3-10.8 12.5-17.7 12.5H9.8c-7.7 0-12.1-7.5-8.5-14.4l69-121.3c.2 0 .2-.1 0-.3l-43.9-75.6c-4.3-7.8.3-14.1 8.5-14.1H100c7.3 0 13.3 4.1 18 12.2l44.7 77.5zM382.6 46.1l-144 253v.3L330.2 466c3.9 7.1.2 14.1-8.5 14.1h-65.2c-7.6 0-13.6-4-18-12.2l-92.4-168.5c3.3-5.8 51.5-90.8 144.8-255.2 4.6-8.1 10.4-12.2 17.5-12.2h65.7c8 0 12.3 6.7 8.5 14.1z\"\/>\n\t\t\t<\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fas\" data-icon=\"whatsapp\" viewbox=\"0 0 448 512\" id=\"has-whatsapp-icon\">\n\t\t\t\t<path fill=\"currentColor\" d=\"M380.9 97.1C339 55.1 283.2 32 223.9 32c-122.4 0-222 99.6-222 222 0 39.1 10.2 77.3 29.6 111L0 480l117.7-30.9c32.4 17.7 68.9 27 106.1 27h.1c122.3 0 224.1-99.6 224.1-222 0-59.3-25.2-115-67.1-157zm-157 341.6c-33.2 0-65.7-8.9-94-25.7l-6.7-4-69.8 18.3L72 359.2l-4.4-7c-18.5-29.4-28.2-63.3-28.2-98.2 0-101.7 82.8-184.5 184.6-184.5 49.3 0 95.6 19.2 130.4 54.1 34.8 34.9 56.2 81.2 56.1 130.5 0 101.8-84.9 184.6-186.6 184.6zm101.2-138.2c-5.5-2.8-32.8-16.2-37.9-18-5.1-1.9-8.8-2.8-12.5 2.8-3.7 5.6-14.3 18-17.6 21.8-3.2 3.7-6.5 4.2-12 1.4-32.6-16.3-54-29.1-75.5-66-5.7-9.8 5.7-9.1 16.3-30.3 1.8-3.7.9-6.9-.5-9.7-1.4-2.8-12.5-30.1-17.1-41.2-4.5-10.8-9.1-9.3-12.5-9.5-3.2-.2-6.9-.2-10.6-.2-3.7 0-9.7 1.4-14.8 6.9-5.1 5.6-19.4 19-19.4 46.3 0 27.3 19.9 53.7 22.6 57.4 2.8 3.7 39.1 59.7 94.8 83.8 35.2 15.2 49 16.5 66.6 13.9 10.7-1.6 32.8-13.4 37.4-26.4 4.6-13 4.6-24.1 3.2-26.4-1.3-2.5-5-3.9-10.5-6.6z\"\/>\n\t\t\t<\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fas\" data-icon=\"copy\" viewbox=\"0 0 448 512\" id=\"has-copy-icon\">\n\t\t\t\t<path fill=\"currentColor\" d=\"M320 448v40c0 13.255-10.745 24-24 24H24c-13.255 0-24-10.745-24-24V120c0-13.255 10.745-24 24-24h72v296c0 30.879 25.121 56 56 56h168zm0-344V0H152c-13.255 0-24 10.745-24 24v368c0 13.255 10.745 24 24 24h272c13.255 0 24-10.745 24-24V128H344c-13.2 0-24-10.8-24-24zm120.971-31.029L375.029 7.029A24 24 0 0 0 358.059 0H352v96h96v-6.059a24 24 0 0 0-7.029-16.97z\"\/>\n\t\t\t<\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fas\" data-icon=\"share\" viewbox=\"0 0 448 512\" id=\"has-share-icon\">\n\t\t\t\t<path fill=\"currentColor\" d=\"M352 320c-22.608 0-43.387 7.819-59.79 20.895l-102.486-64.054a96.551 96.551 0 0 0 0-41.683l102.486-64.054C308.613 184.181 329.392 192 352 192c53.019 0 96-42.981 96-96S405.019 0 352 0s-96 42.981-96 96c0 7.158.79 14.13 2.276 20.841L155.79 180.895C139.387 167.819 118.608 160 96 160c-53.019 0-96 42.981-96 96s42.981 96 96 96c22.608 0 43.387-7.819 59.79-20.895l102.486 64.054A96.301 96.301 0 0 0 256 416c0 53.019 42.981 96 96 96s96-42.981 96-96-42.981-96-96-96z\"\/>\n\t\t\t<\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fab\" data-icon=\"reddit\" viewbox=\"0 0 512 512\" id=\"has-reddit-icon\">\n\t\t\t\t<path fill=\"currentColor\" d=\"M440.3 203.5c-15 0-28.2 6.2-37.9 15.9-35.7-24.7-83.8-40.6-137.1-42.3L293 52.3l88.2 19.8c0 21.6 17.6 39.2 39.2 39.2 22 0 39.7-18.1 39.7-39.7s-17.6-39.7-39.7-39.7c-15.4 0-28.7 9.3-35.3 22l-97.4-21.6c-4.9-1.3-9.7 2.2-11 7.1L246.3 177c-52.9 2.2-100.5 18.1-136.3 42.8-9.7-10.1-23.4-16.3-38.4-16.3-55.6 0-73.8 74.6-22.9 100.1-1.8 7.9-2.6 16.3-2.6 24.7 0 83.8 94.4 151.7 210.3 151.7 116.4 0 210.8-67.9 210.8-151.7 0-8.4-.9-17.2-3.1-25.1 49.9-25.6 31.5-99.7-23.8-99.7zM129.4 308.9c0-22 17.6-39.7 39.7-39.7 21.6 0 39.2 17.6 39.2 39.7 0 21.6-17.6 39.2-39.2 39.2-22 .1-39.7-17.6-39.7-39.2zm214.3 93.5c-36.4 36.4-139.1 36.4-175.5 0-4-3.5-4-9.7 0-13.7 3.5-3.5 9.7-3.5 13.2 0 27.8 28.5 120 29 149 0 3.5-3.5 9.7-3.5 13.2 0 4.1 4 4.1 10.2.1 13.7zm-.8-54.2c-21.6 0-39.2-17.6-39.2-39.2 0-22 17.6-39.7 39.2-39.7 22 0 39.7 17.6 39.7 39.7-.1 21.5-17.7 39.2-39.7 39.2z\"\/>\n\t\t\t<\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fab\" data-icon=\"telegram\" viewbox=\"0 0 448 512\" id=\"has-telegram-icon\">\n\t\t\t\t<path fill=\"currentColor\" d=\"M446.7 98.6l-67.6 318.8c-5.1 22.5-18.4 28.1-37.3 17.5l-103-75.9-49.7 47.8c-5.5 5.5-10.1 10.1-20.7 10.1l7.4-104.9 190.9-172.5c8.3-7.4-1.8-11.5-12.9-4.1L117.8 284 16.2 252.2c-22.1-6.9-22.5-22.1 4.6-32.7L418.2 66.4c18.4-6.9 34.5 4.1 28.5 32.2z\"\/>\n\t\t\t<\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fab\" data-icon=\"signal\" viewbox=\"0 0 256 256\" id=\"has-signal-icon\">\n\t\t\t\t<g>\n\t\t\t\t\t<path d=\"M97.2800192,3.739673 L100.160021,15.3787704 C88.8306631,18.1647705 77.9879854,22.6484879 68.0000023,28.6777391 L61.8399988,18.3985363 C72.8467373,11.7537029 84.7951803,6.81153332 97.2800192,3.739673 Z M158.720055,3.739673 L155.840053,15.3787704 C167.169411,18.1647705 178.012089,22.6484879 188.000072,28.6777391 L194.200075,18.3985363 C183.180932,11.7499974 171.218739,6.80771878 158.720055,3.739673 L158.720055,3.739673 Z M18.3999736,61.8351679 C11.7546212,72.8410466 6.81206547,84.7885562 3.73996516,97.2724198 L15.3799719,100.152197 C18.1661896,88.8237238 22.6502573,77.981893 28.6799796,67.9946902 L18.3999736,61.8351679 Z M11.9999699,127.990038 C11.9961044,122.172725 12.4306685,116.363392 13.2999707,110.611385 L1.43996383,108.811525 C-0.479938607,121.525138 -0.479938607,134.454937 1.43996383,147.168551 L13.2999707,145.36869 C12.4306685,139.616684 11.9961044,133.807351 11.9999699,127.990038 L11.9999699,127.990038 Z M194.160075,237.581539 L188.000072,227.302336 C178.024494,233.327885 167.195565,237.811494 155.880053,240.601305 L158.760055,252.240403 C171.231048,249.164732 183.165742,244.222671 194.160075,237.581539 L194.160075,237.581539 Z M244.000104,127.990038 C244.00397,133.807351 243.569406,139.616684 242.700103,145.36869 L254.56011,147.168551 C256.480013,134.454937 256.480013,121.525138 254.56011,108.811525 L242.700103,110.611385 C243.569406,116.363392 244.00397,122.172725 244.000104,127.990038 Z M252.260109,158.707656 L240.620102,155.827879 C237.833884,167.156352 233.349817,177.998183 227.320094,187.985385 L237.6001,194.184905 C244.249159,183.166622 249.191823,171.205364 252.260109,158.707656 L252.260109,158.707656 Z M145.380047,242.701142 C133.858209,244.43447 122.141865,244.43447 110.620027,242.701142 L108.820026,254.560223 C121.534632,256.479975 134.465442,256.479975 147.180048,254.560223 L145.380047,242.701142 Z M221.380091,196.804701 C214.461479,206.174141 206.175877,214.452354 196.800077,221.362797 L203.920081,231.022048 C214.262958,223.418011 223.404944,214.303705 231.040097,203.984145 L221.380091,196.804701 Z M196.800077,34.6172785 C206.177345,41.5338058 214.463023,49.8188367 221.380091,59.1953726 L231.040097,51.9959309 C223.429284,41.6822474 214.31457,32.5682452 204.000081,24.9580276 L196.800077,34.6172785 Z M34.619983,59.1953726 C41.5370506,49.8188367 49.8227288,41.5338058 59.1999972,34.6172785 L51.9999931,24.9580276 C41.6855038,32.5682452 32.5707896,41.6822474 24.9599774,51.9959309 L34.619983,59.1953726 Z M237.6001,61.8351679 L227.320094,67.9946902 C233.346114,77.969489 237.830073,88.7975718 240.620102,100.1122 L252.260109,97.2324229 C249.184198,84.7624043 244.241751,72.8286423 237.6001,61.8351679 L237.6001,61.8351679 Z M110.620027,13.2989317 C122.141865,11.5656035 133.858209,11.5656035 145.380047,13.2989317 L147.180048,1.43985134 C134.465442,-0.479901112 121.534632,-0.479901112 108.820026,1.43985134 L110.620027,13.2989317 Z M40.7799866,234.201801 L15.9999722,239.981353 L21.7799756,215.203275 L10.0999688,212.463487 L4.3199655,237.241566 C3.3734444,241.28318 4.58320332,245.526897 7.51859925,248.462064 C10.4539952,251.39723 14.6980441,252.606895 18.7399738,251.660448 L43.4999881,245.980888 L40.7799866,234.201801 Z M12.5999703,201.764317 L24.279977,204.484106 L28.2799793,187.305438 C22.4496684,177.507146 18.1025197,166.899584 15.3799719,155.827879 L3.73996516,158.707656 C6.34937618,169.311891 10.3154147,179.535405 15.539972,189.125297 L12.5999703,201.764317 Z M68.6000027,227.762301 L51.4199927,231.761991 L54.1399943,243.441085 L66.7800016,240.501313 C76.3706428,245.725462 86.5949557,249.691191 97.2000192,252.300398 L100.080021,240.6613 C89.0307035,237.906432 78.4495684,233.532789 68.6800027,227.682307 L68.6000027,227.762301 Z M128.000037,23.9980665 C90.1565244,24.0177003 55.3105242,44.590631 37.01511,77.715217 C18.7196958,110.839803 19.8628631,151.287212 39.9999861,183.325747 L29.9999803,225.982439 L72.660005,215.983214 C110.077932,239.548522 158.307237,236.876754 192.892851,209.322653 C227.478464,181.768552 240.856271,135.358391 226.242944,93.6248278 C211.629616,51.8912646 172.221191,23.9617202 128.000037,23.9980665 Z\" fill=\"currentColor\"\/>\n\t\t\t\t<\/g>\n\t\t\t<\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"ok\" data-icon=\"logo\" viewbox=\"0 0 512 512\" id=\"has-ok-icon\">\n\t\t\t\t<g>\n\t\t\t\t\t<path fill=\"currentColor\" d=\"M357.1,324.5c-24.1,15.3-57.2,21.4-79.1,23.6l18.4,18.1l67,67c24.5,25.1-15.4,64.4-40.2,40.2c-16.8-17-41.4-41.6-67-67.3
l-67,67.2c-24.8,24.2-64.7-15.5-39.9-40.2c17-17,41.4-41.6,67-67l18.1-18.1c-21.6-2.3-55.3-8-79.6-23.6
c-28.6-18.5-41.2-29.3-30.1-51.8c6.5-12.8,24.3-23.6,48-5c0,0,31.9,25.4,83.4,25.4s83.4-25.4,83.4-25.4c23.6-18.5,41.4-7.8,48,5
C398.3,295.1,385.7,305.9,357.1,324.5L357.1,324.5z M142,145c0-63,51.2-114,114-114s114,51,114,114c0,62.7-51.2,113.7-114,113.7
S142,207.7,142,145L142,145z M200,145c0,30.8,25.1,56,56,56s56-25.1,56-56c0-31.1-25.1-56.2-56-56.2S200,113.9,200,145z\"\/>\n\t\t\t\t<\/g>\n\t\t\t<\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"vk\" data-icon=\"logo\" viewbox=\"0 0 700 700\" id=\"has-vk-icon\">\n\t\t\t\t<g style=\"fill:none;fill-rule:evenodd\" transform=\"translate(0,664)\">\n\t\t\t\t\t<path fill=\"currentColor\" d=\"m 1073.3513,-606.40537 h 196.278 c 179.2103,0 221.8795,42.66915 221.8795,221.8795 v 196.27799 c 0,179.2103512 -42.6692,221.879451 -221.8795,221.879451 h -196.278 c -179.21038,0 -221.87951,-42.6691298 -221.87951,-221.879451 v -196.27801 c 0,-179.21035 42.66913,-221.87946 221.87951,-221.87948 z\"\/>\n\t\t\t\t\t<path fill=\"currentColor\" d=\"m 1375.0576,-393.98425 c 2.9513,-9.7072 0,-16.85429 -14.1342,-16.85429 h -46.6693 c -11.8763,0 -17.3521,6.16927 -20.3212,12.97854 0,0 -23.7347,56.82106 -57.3544,93.74763 -10.8806,10.66728 -15.8232,14.08081 -21.7613,14.08081 -2.969,0 -7.2715,-3.39577 -7.2715,-13.12075 v -90.83194 c 0,-11.66288 -3.4491,-16.85429 -13.3341,-16.85429 h -73.3553 c -7.4138,0 -11.8763,5.40476 -11.8763,10.54286 0,11.0406 16.8188,13.60078 18.5433,44.67814 v 67.52388 c 0,14.80973 -2.7202,17.49433 -8.6583,17.49433 -15.8231,0 -54.3143,-57.08773 -77.16,-122.40705 -4.4447,-12.71185 -8.9427,-17.83214 -20.8723,-17.83214 h -46.68718 c -13.3341,0 -16.0009,6.16925 -16.0009,12.97852 0,12.12515 15.8232,72.35973 73.69318,152.02656 38.58,54.40315 92.8942,83.89819 142.3726,83.89819 29.6729,0 33.3353,-6.54262 33.3353,-17.83216 v -41.12238 c 0,-13.10297 2.809,-15.71646 12.214,-15.71646 6.9338,0 18.7922,3.41353 46.4916,29.63728 31.6463,31.09512 36.8555,45.03372 54.6698,45.03372 h 46.6694 c 13.3341,0 20.0189,-6.54262 16.1787,-19.46781 -4.2313,-12.88962 -19.3433,-31.57515 -39.38,-53.74532 -10.8807,-12.62294 -27.2016,-26.22375 -32.1441,-33.03302 -6.9338,-8.72941 -4.9603,-12.62294 0,-20.39227 0,0 56.8566,-78.68897 62.7947,-105.41058 z\"\/>\n\t\t\t\t\t<path fill=\"currentColor\" d=\"m 567.69877,-429.06912 c 3.15618,-10.38133 0,-18.0247 -15.11579,-18.0247 h -49.91013 c -12.70096,0 -18.55706,6.59763 -21.73232,13.87977 0,0 -25.38286,60.76685 -61.33724,100.25768 -11.63627,11.40806 -16.92197,15.05863 -23.27242,15.05863 -3.17519,0 -7.77644,-3.63156 -7.77644,-14.0319 v -97.13948 c 0,-12.47278 -3.68869,-18.0247 -14.26014,-18.0247 h -78.44923 c -7.92857,0 -12.70097,5.78005 -12.70097,11.27491 0,11.80736 17.98666,14.54527 19.83094,47.78071 v 72.21293 c 0,15.83815 -2.9091,18.70918 -9.25948,18.70918 -16.92197,0 -58.08598,-61.05206 -82.51817,-130.90731 -4.75337,-13.59458 -9.56381,-19.07042 -22.32175,-19.07042 h -49.92915 c -14.26014,0 -17.11213,6.59763 -17.11213,13.87977 0,12.96714 16.92197,77.38454 78.81059,162.58363 41.25909,58.18101 99.34506,89.72424 152.25931,89.72424 31.73343,0 35.65018,-6.99691 35.65018,-19.07043 v -43.978 c 0,-14.01288 3.00405,-16.80786 13.0622,-16.80786 7.41521,0 20.09716,3.65057 49.71998,31.69536 33.84387,33.25443 39.41486,48.16093 58.46622,48.16093 h 49.91026 c 14.26,0 21.40913,-6.99691 17.30216,-20.81966 -4.5252,-13.78473 -20.68653,-33.76783 -42.11468,-57.47752 -11.63621,-13.49953 -29.09043,-28.04479 -34.37631,-35.32694 -7.41508,-9.33557 -5.30458,-13.4995 0,-21.80835 0,0 60.80491,-84.15334 67.15549,-112.73048 z\"\/>\n\t\t\t\t<\/g>\n\t\t\t<\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fab\" data-icon=\"tumblr\" viewbox=\"0 0 320 512\" id=\"has-tumblr\"><path fill=\"currentColor\" d=\"M309.8 480.3c-13.6 14.5-50 31.7-97.4 31.7-120.8 0-147-88.8-147-140.6v-144H17.9c-5.5 0-10-4.5-10-10v-68c0-7.2 4.5-13.6 11.3-16 62-21.8 81.5-76 84.3-117.1.8-11 6.5-16.3 16.1-16.3h70.9c5.5 0 10 4.5 10 10v115.2h83c5.5 0 10 4.4 10 9.9v81.7c0 5.5-4.5 10-10 10h-83.4V360c0 34.2 23.7 53.6 68 35.8 4.8-1.9 9-3.2 12.7-2.2 3.5.9 5.8 3.4 7.4 7.9l22 64.3c1.8 5 3.3 10.6-.4 14.5z\"\/><\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fab\" data-icon=\"share\" viewbox=\"0 0 512 512\" id=\"has-webshare-icon\"><path fill=\"currentColor\" d=\"M512 208L320 384H288V288H208c-61.9 0-112 50.1-112 112c0 48 32 80 32 80s-128-48-128-176c0-97.2 78.8-176 176-176H288V32h32L512 208z\"\/><\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fab\" data-icon=\"x\" viewbox=\"0 0 320 512\" id=\"has-x\"><path fill=\"currentColor\" d=\"M309.8 480.3c-13.6 14.5-50 31.7-97.4 31.7-120.8 0-147-88.8-147-140.6v-144H17.9c-5.5 0-10-4.5-10-10v-68c0-7.2 4.5-13.6 11.3-16 62-21.8 81.5-76 84.3-117.1.8-11 6.5-16.3 16.1-16.3h70.9c5.5 0 10 4.5 10 10v115.2h83c5.5 0 10 4.4 10 9.9v81.7c0 5.5-4.5 10-10 10h-83.4V360c0 34.2 23.7 53.6 68 35.8 4.8-1.9 9-3.2 12.7-2.2 3.5.9 5.8 3.4 7.4 7.9l22 64.3c1.8 5 3.3 10.6-.4 14.5z\"\/><\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fab\" data-icon=\"mastodon\" viewbox=\"0 0 448 512\" id=\"has-mastodon\"><path fill=\"currentColor\" d=\"M433 179.1c0-97.2-63.7-125.7-63.7-125.7-62.5-28.7-228.6-28.4-290.5 0 0 0-63.7 28.5-63.7 125.7 0 115.7-6.6 259.4 105.6 289.1 40.5 10.7 75.3 13 103.3 11.4 50.8-2.8 79.3-18.1 79.3-18.1l-1.7-36.9s-36.3 11.4-77.1 10.1c-40.4-1.4-83-4.4-89.6-54a102.5 102.5 0 0 1 -.9-13.9c85.6 20.9 158.7 9.1 178.8 6.7 56.1-6.7 105-41.3 111.2-72.9 9.8-49.8 9-121.5 9-121.5zm-75.1 125.2h-46.6v-114.2c0-49.7-64-51.6-64 6.9v62.5h-46.3V197c0-58.5-64-56.6-64-6.9v114.2H90.2c0-122.1-5.2-147.9 18.4-175 25.9-28.9 79.8-30.8 103.8 6.1l11.6 19.5 11.6-19.5c24.1-37.1 78.1-34.8 103.8-6.1 23.7 27.3 18.4 53 18.4 175z\"\/><\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fab\" data-icon=\"threads\" viewbox=\"0 0 448 512\" id=\"has-threads\">\n\t\t\t\t<path fill=\"currentColor\" d=\"M331.5 235.7c2.2 .9 4.2 1.9 6.3 2.8c29.2 14.1 50.6 35.2 61.8 61.4c15.7 36.5 17.2 95.8-30.3 143.2c-36.2 36.2-80.3 52.5-142.6 53h-.3c-70.2-.5-124.1-24.1-160.4-70.2c-32.3-41-48.9-98.1-49.5-169.6V256v-.2C17 184.3 33.6 127.2 65.9 86.2C102.2 40.1 156.2 16.5 226.4 16h.3c70.3 .5 124.9 24 162.3 69.9c18.4 22.7 32 50 40.6 81.7l-40.4 10.8c-7.1-25.8-17.8-47.8-32.2-65.4c-29.2-35.8-73-54.2-130.5-54.6c-57 .5-100.1 18.8-128.2 54.4C72.1 146.1 58.5 194.3 58 256c.5 61.7 14.1 109.9 40.3 143.3c28 35.6 71.2 53.9 128.2 54.4c51.4-.4 85.4-12.6 113.7-40.9c32.3-32.2 31.7-71.8 21.4-95.9c-6.1-14.2-17.1-26-31.9-34.9c-3.7 26.9-11.8 48.3-24.7 64.8c-17.1 21.8-41.4 33.6-72.7 35.3c-23.6 1.3-46.3-4.4-63.9-16c-20.8-13.8-33-34.8-34.3-59.3c-2.5-48.3 35.7-83 95.2-86.4c21.1-1.2 40.9-.3 59.2 2.8c-2.4-14.8-7.3-26.6-14.6-35.2c-10-11.7-25.6-17.7-46.2-17.8H227c-16.6 0-39 4.6-53.3 26.3l-34.4-23.6c19.2-29.1 50.3-45.1 87.8-45.1h.8c62.6 .4 99.9 39.5 103.7 107.7l-.2 .2zm-156 68.8c1.3 25.1 28.4 36.8 54.6 35.3c25.6-1.4 54.6-11.4 59.5-73.2c-13.2-2.9-27.8-4.4-43.4-4.4c-4.8 0-9.6 .1-14.4 .4c-42.9 2.4-57.2 23.2-56.2 41.8l-.1 .1z\"\/>\n\t\t\t<\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fab\" data-icon=\"bluesky\" viewbox=\"0 0 576 512\" id=\"has-bluesky\">\n\t\t\t\t<path fill=\"currentColor\" d=\"M407.8 294.7c-3.3-.4-6.7-.8-10-1.3c3.4 .4 6.7 .9 10 1.3zM288 227.1C261.9 176.4 190.9 81.9 124.9 35.3C61.6-9.4 37.5-1.7 21.6 5.5C3.3 13.8 0 41.9 0 58.4S9.1 194 15 213.9c19.5 65.7 89.1 87.9 153.2 80.7c3.3-.5 6.6-.9 10-1.4c-3.3 .5-6.6 1-10 1.4C74.3 308.6-9.1 342.8 100.3 464.5C220.6 589.1 265.1 437.8 288 361.1c22.9 76.7 49.2 222.5 185.6 103.4c102.4-103.4 28.1-156-65.8-169.9c-3.3-.4-6.7-.8-10-1.3c3.4 .4 6.7 .9 10 1.3c64.1 7.1 133.6-15.1 153.2-80.7C566.9 194 576 75 576 58.4s-3.3-44.7-21.6-52.9c-15.8-7.1-40-14.9-103.2 29.8C385.1 81.9 314.1 176.4 288 227.1z\"\/>\n\t\t\t<\/symbol>\n\t\t\t<symbol xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" data-prefix=\"fab\" data-icon=\"bluesky\" viewbox=\"0 0 384 512\" id=\"has-pinterest\">\n\t\t\t\t<path fill=\"currentColor\" d=\"M204 6.5C101.4 6.5 0 74.9 0 185.6 0 256 39.6 296 63.6 296c9.9 0 15.6-27.6 15.6-35.4 0-9.3-23.7-29.1-23.7-67.8 0-80.4 61.2-137.4 140.4-137.4 68.1 0 118.5 38.7 118.5 109.8 0 53.1-21.3 152.7-90.3 152.7-24.9 0-46.2-18-46.2-43.8 0-37.8 26.4-74.4 26.4-113.4 0-66.2-93.9-54.2-93.9 25.8 0 16.8 2.1 35.4 9.6 50.7-13.8 59.4-42 147.9-42 209.1 0 18.9 2.7 37.5 4.5 56.4 3.4 3.8 1.7 3.4 6.9 1.5 50.4-69 48.6-82.5 71.4-172.8 12.3 23.4 44.1 36 69.3 36 106.2 0 153.9-103.5 153.9-196.8C384 71.3 298.2 6.5 204 6.5z\"\/>\n\t\t\t<\/symbol>\n\t\t<\/svg><\/p>\n<link rel=\"stylesheet\" id=\"has-fancybox-css-css\" href=\"https:\/\/blogs.nvidia.com\/wp-content\/plugins\/highlight-and-share\/js\/fancybox.css?ver=5.1.0\" type=\"text\/css\" media=\"all\"\/>\n<p>\t<\/body>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>Isambard-AI, the UK\u2019s Most Highly effective AI Supercomputer, Goes Reside | NVIDIA Weblog Skip to content material The College of Bristol\u2019s Isambard-AI, powered by NVIDIA Grace Hopper Superchips, delivers 21 exaflops of AI efficiency, making it the quickest system within the U.Ok. and among the many most energy-efficient globally. Your browser doesn’t help the video […]<\/p>\n","protected":false},"author":2,"featured_media":4659,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[55],"tags":[4101,1732,1597,4103,4102],"class_list":["post-4657","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-machine-learning","tag-isambardai","tag-live","tag-powerful","tag-supercomputer","tag-uks"],"_links":{"self":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/4657","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4657"}],"version-history":[{"count":1,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/4657\/revisions"}],"predecessor-version":[{"id":4658,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/4657\/revisions\/4658"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/media\/4659"}],"wp:attachment":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4657"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4657"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4657"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}<!-- This website is optimized by Airlift. Learn more: https://airlift.net. Template:. Learn more: https://airlift.net. Template: 69d9690a190636c2e0989534. Config Timestamp: 2026-04-10 21:18:02 UTC, Cached Timestamp: 2026-06-13 15:17:14 UTC -->