{"id":10042,"date":"2022-12-27T16:26:07","date_gmt":"2022-12-27T09:26:07","guid":{"rendered":"https:\/\/gcloudvn.com\/?p=10042"},"modified":"2023-03-20T16:28:35","modified_gmt":"2023-03-20T09:28:35","slug":"access-modeled-data-from-looker-studio-now-in-public-preview-2","status":"publish","type":"post","link":"https:\/\/gcloudvn.com\/en\/kienthuc\/gpu-cloud-server-la-gi-gpu-cloud-server-duoc-ung-dung-de-lam-gi\/","title":{"rendered":"What is GPU Cloud Server? What is GPU Cloud Server used for?"},"content":{"rendered":"<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">When talking about server power, what is being talked about here is the installed processor. However, there is another type of server that can greatly improve performance, which is GPU servers aka <strong>GPU Cloud Server<\/strong>. They were originally created for graphics processing, but today GPUs are used to handle high-performance computing tasks. These servers will significantly speed up the processing of multitasking tasks.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">In this article, Gimasys will discuss how GPU servers will help deliver specific benefits to your business.<\/span><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_80 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/gcloudvn.com\/en\/kienthuc\/gpu-cloud-server-la-gi-gpu-cloud-server-duoc-ung-dung-de-lam-gi\/#GPU_Cloud_Server_la_gi\" >What is GPU Cloud Server?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/gcloudvn.com\/en\/kienthuc\/gpu-cloud-server-la-gi-gpu-cloud-server-duoc-ung-dung-de-lam-gi\/#GPU_dung_de_lam_gi\" >What is GPU used for?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/gcloudvn.com\/en\/kienthuc\/gpu-cloud-server-la-gi-gpu-cloud-server-duoc-ung-dung-de-lam-gi\/#GPU_Cloud_server\" >GPU Cloud server<\/a><\/li><\/ul><\/nav><\/div>\n<h2 style=\"text-align: justify;\"><span class=\"ez-toc-section\" id=\"GPU_Cloud_Server_la_gi\"><\/span><b>What is GPU Cloud Server?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">Basically, GPU Cloud Server is also a form of Cloud Server that users often use. It just differs from the regular Cloud Server in that it integrates more GPUs to increase the power of the system.\u00a0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">For regular customers when registering to use Cloud Server services, most of them are using normal CPU for their service packages. They are the brains of the computer and are a near-perfect choice for running applications, such as the web, e-mail, etc. But more complex tasks require specialized hardware such as a graphics processor. graphics (GPU).\u00a0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">GPUs have slower cores than CPUs, but they can have thousands of cores running in parallel. As a result, some computation operations may run faster on the GPU than on the CPU. A GPU Server is a server equipped with a graphics card that uses offloading, so the CPU can transfer certain tasks to the GPU for increased performance. In addition to increasing speed, your movement will require less power, helping to reduce heat and reduce power consumption.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">Graphics processors also have a slightly different structure, aimed at processing large amounts of data. The video cards in the server and system units may look similar, but they are technically different.<\/span><\/p>\n<figure id=\"attachment_10044\" aria-describedby=\"caption-attachment-10044\" style=\"width: 600px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-10044\" src=\"https:\/\/gcloudvn.com\/wp-content\/uploads\/2022\/12\/nvidia-vcomputerserver-2c50-p@2x-1024x576.jpg\" alt=\"What is GPU Cloud Server?\" width=\"600\" height=\"338\" srcset=\"https:\/\/gcloudvn.com\/wp-content\/uploads\/2022\/12\/nvidia-vcomputerserver-2c50-p@2x-1024x576.jpg 1024w, https:\/\/gcloudvn.com\/wp-content\/uploads\/2022\/12\/nvidia-vcomputerserver-2c50-p@2x-300x169.jpg 300w, https:\/\/gcloudvn.com\/wp-content\/uploads\/2022\/12\/nvidia-vcomputerserver-2c50-p@2x-768x432.jpg 768w, https:\/\/gcloudvn.com\/wp-content\/uploads\/2022\/12\/nvidia-vcomputerserver-2c50-p@2x-18x10.jpg 18w, https:\/\/gcloudvn.com\/wp-content\/uploads\/2022\/12\/nvidia-vcomputerserver-2c50-p@2x.jpg 1200w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><figcaption id=\"caption-attachment-10044\" class=\"wp-caption-text\">What is GPU Cloud Server?<\/figcaption><\/figure>\n<h2 style=\"text-align: justify;\"><span class=\"ez-toc-section\" id=\"GPU_dung_de_lam_gi\"><\/span><b>What is GPU used for?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">According to Nvidia, GPU computing is the simultaneous use of GPU and CPU to accelerate scientific, analytical, technical applications, etc. Let&#039;s take a closer look at the benefits of GPU Server for businesses and applications. their reality.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">3D Rendering: When used in a CPU-only application, processing is slow due to linear request processing. GPU servers help increase performance because they simultaneously process and compute large chunks of data. When repetitive computational tasks are offloaded from the CPU, it is freed up to process sequential tasks.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">Increased processing speed: GPU consists of multiple cores and can handle hundreds of threads concurrently which accelerates applications up to 10x faster than CPU-only applications. To reduce memory access latency, the CPU uses cache memory, but it takes up a lot of space on the chip. GPU increases bandwidth due to cache. While the CPU relies on available RAM to process a thread, the GPU switches to another thread ready to process, thus reducing latency and providing faster results.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">Big Data Analytics: Business intelligence applications that deliver the compute capabilities that come with scale will work more efficiently with the Server GPU. GPU-based analytics provides real-time interactive data set visualization support, allowing for deeper insights and predictive results with speed and accuracy.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">VDI solution with GPU. NVIDIA GRID is a powerful tool for delivering outstanding graphics performance when multiple users share a single GPU. GPU hardware acceleration is shared across virtual desktops, providing the best remote user experience in its class. Employees can work securely from anywhere with access to the same full range of features as in the office.<\/span><\/p>\n<h2 style=\"text-align: justify;\"><span class=\"ez-toc-section\" id=\"GPU_Cloud_server\"><\/span><b>GPU Cloud server<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">Although GPUs are designed for rendering, their potential is much more than that. GPU Cloud Server was used to process large data sets. That&#039;s why many companies choose Cloud Server GPU when working with Big Data AI, 3D and blockchain.<\/span><\/p>\n<p style=\"text-align: justify;\">If your business is interested in <strong>GPU Cloud Server<\/strong> particular or background <a href=\"https:\/\/gcloudvn.com\/en\/google-cloud-platform\/\">Google Cloud<\/a> In general, you can connect with Gimasys - a senior partner of Google in Vietnam for advice on solutions to build applications according to the unique needs of businesses. Contact now:<\/p>\n<ul style=\"text-align: justify;\">\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Gimasys \u2013 Google Cloud Premier Partner<\/b><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Hotline: <\/b><span style=\"font-weight: 400;\">Hanoi: <\/span><span style=\"font-weight: 400;\">0987 682 505<\/span><span style=\"font-weight: 400;\"> - Ho Chi Minh: <\/span><span style=\"font-weight: 400;\">0974 417 099<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Email: <\/b><span style=\"font-weight: 400;\">gcp@gimasys.com<\/span><\/li>\n<\/ul>\n<p style=\"text-align: right;\"><strong>Source: Gimasys<\/strong><\/p>","protected":false},"excerpt":{"rendered":"<p>Khi n\u00f3i v\u1ec1 s\u1ee9c m\u1ea1nh c\u1ee7a m\u00e1y ch\u1ee7, \u0111i\u1ec1u \u0111ang \u0111\u01b0\u1ee3c n\u00f3i \u0111\u1ebfn \u1edf \u0111\u00e2y l\u00e0 b\u1ed9 x\u1eed l\u00fd \u0111\u00e3 c\u00e0i \u0111\u1eb7t. Tuy nhi\u00ean, c\u00f3 m\u1ed9t lo\u1ea1i m\u00e1y ch\u1ee7 kh\u00e1c c\u00f3 th\u1ec3 c\u1ea3i thi\u1ec7n \u0111\u00e1ng k\u1ec3 hi\u1ec7u su\u1ea5t, \u0111\u00f3 l\u00e0&hellip;<\/p>","protected":false},"author":2,"featured_media":10045,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1,135],"tags":[],"class_list":["post-10042","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-kienthuc","category-google-cloud-platform","entry","has-media"],"_links":{"self":[{"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/posts\/10042","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/comments?post=10042"}],"version-history":[{"count":0,"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/posts\/10042\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/media\/10045"}],"wp:attachment":[{"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/media?parent=10042"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/categories?post=10042"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/tags?post=10042"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}