{"id":13328,"date":"2024-12-19T15:29:19","date_gmt":"2024-12-19T07:29:19","guid":{"rendered":"https:\/\/mvslinks.com\/?p=13328"},"modified":"2024-12-19T16:43:33","modified_gmt":"2024-12-19T08:43:33","slug":"how-to-choose-nvidia-hgx-and-dgx","status":"publish","type":"post","link":"https:\/\/mvslinks.com\/th\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/","title":{"rendered":"NVIDIA HGX vs. DGX: How to Choose?"},"content":{"rendered":"<p><span style=\"font-weight: 400;color: #000000\">As a leader in the field of artificial intelligence (AI) and high-performance computing (HPC), NVIDIA offers a number of innovative computing platforms designed to meet the needs of different application scenarios. While the names sound similar, they are different ways for NVIDIA to sell its 8x <a style=\"color: #000000\" href=\"https:\/\/www.naddod.com\/blog\/comparing-nvidia-top-ai-gpus-h100-a100-a6000-and-l40s\" target=\"_blank\" rel=\"noopener\">GPU<\/a> systems with NVLink. In addition, NVIDIA&#8217;s business model has changed between the NVIDIA P100 &#8220;Pascal&#8221; and V100 &#8220;Volta&#8221; generations, and with the introduction of the A100 &#8220;Ampere&#8221; and H100 &#8220;Hopper&#8221; PUs, we have seen the <a style=\"color: #000000\" href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/hgx\/\" target=\"_blank\" rel=\"noopener\">HGX<\/a> model reach new heights.<\/span><\/p>\n<p>&nbsp;<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_74 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:\/\/mvslinks.com\/th\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/#What_is_Nvidia_HGX\" >What is Nvidia HGX<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/mvslinks.com\/th\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/#What_is_Nvidia_DGX\" >What is Nvidia DGX<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/mvslinks.com\/th\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/#Differences_between_NVIDIA_HGX_and_DGX\" >Differences between NVIDIA HGX and DGX<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/mvslinks.com\/th\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/#1_Hardware_Configuration\" >1. Hardware Configuration<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/mvslinks.com\/th\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/#2_Software_Stacks_and_Integrations\" >2. Software Stacks and Integrations<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/mvslinks.com\/th\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/#3_Customizability\" >3. Customizability<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/mvslinks.com\/th\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/#4_Target_Users_and_Applications\" >4. Target Users and Applications<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/mvslinks.com\/th\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/#5_Cost\" >5. Cost<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/mvslinks.com\/th\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/#6_Computing_Performance\" >6. Computing Performance<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/mvslinks.com\/th\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/#Conclusion\" >Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"What_is_Nvidia_HGX\"><\/span><span style=\"font-weight: 400;color: #000000\">What is Nvidia HGX<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;color: #000000\">HGX is a reference design and specification provided by NVIDIA, OEMs can purchase the corresponding chips to design hardware products, and then end users develop the corresponding management software.<\/span><\/p>\n<p><span style=\"font-weight: 400;color: #000000\">Similar to the current server market, NVIDIA provides reference designs, OEMs such as DELL\/ASUS can provide free brands or white labels, and cloud vendors such as AWS purchase corresponding products from OEMs and integrate them into their own networks to provide cloud services. Compared to <a style=\"color: #000000\" href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/dgx-platform\/\" target=\"_blank\" rel=\"noopener\">DGX<\/a>, NVIDIA is selling chips.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"color: #000000\"><a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/hgx\/\"><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone wp-image-13327\" src=\"https:\/\/mvslinks.com\/wp-content\/uploads\/2024\/12\/HGX.jpg\" alt=\"HGX\" width=\"750\" height=\"500\" srcset=\"https:\/\/mvslinks.com\/wp-content\/uploads\/2024\/12\/HGX.jpg 2000w, https:\/\/mvslinks.com\/wp-content\/uploads\/2024\/12\/HGX-1500x1001.jpg 1500w, https:\/\/mvslinks.com\/wp-content\/uploads\/2024\/12\/HGX-500x334.jpg 500w, https:\/\/mvslinks.com\/wp-content\/uploads\/2024\/12\/HGX-768x512.jpg 768w, https:\/\/mvslinks.com\/wp-content\/uploads\/2024\/12\/HGX-1536x1025.jpg 1536w, https:\/\/mvslinks.com\/wp-content\/uploads\/2024\/12\/HGX-18x12.jpg 18w\" sizes=\"(max-width: 750px) 100vw, 750px\" \/><\/a><\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"What_is_Nvidia_DGX\"><\/span><span style=\"font-weight: 400;color: #000000\">What is Nvidia DGX<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;color: #000000\">DGX is NVIDIA&#8217;s suite of solutions including hardware, software, operating system, interconnect, and more. With DGX, you can do it right out of the box. From the basic hardware, to the upper-layer operating system, cluster management software, and even AI models, they are all ready-made.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;color: #000000\">Compare IBM-like mainframes. NVIDIA says it&#8217;s for Al factory. However, for large cloud service + providers, using DGX is not only cost-effective but also not suitable for the existing architecture in terms of network infrastructure. That&#8217;s why NVIDIA launched HGX.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"color: #000000\"><a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/dgx-platform\/\"><img decoding=\"async\" class=\"alignnone wp-image-13326\" src=\"https:\/\/mvslinks.com\/wp-content\/uploads\/2024\/12\/DGX.jpg\" alt=\"DGX\" width=\"750\" height=\"394\" srcset=\"https:\/\/mvslinks.com\/wp-content\/uploads\/2024\/12\/DGX.jpg 1200w, https:\/\/mvslinks.com\/wp-content\/uploads\/2024\/12\/DGX-500x263.jpg 500w, https:\/\/mvslinks.com\/wp-content\/uploads\/2024\/12\/DGX-768x403.jpg 768w, https:\/\/mvslinks.com\/wp-content\/uploads\/2024\/12\/DGX-18x9.jpg 18w\" sizes=\"(max-width: 750px) 100vw, 750px\" \/><\/a><\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Differences_between_NVIDIA_HGX_and_DGX\"><\/span><span style=\"font-weight: 400;color: #000000\">Differences between NVIDIA HGX and DGX<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"1_Hardware_Configuration\"><\/span><span style=\"font-weight: 400;color: #000000\">1. Hardware Configuration<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;color: #000000\">The difference can be seen at a glance from the pictures above of the NVIDIA HGX and DGX. HGX is a computing module, while DGX is a complete host.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"2_Software_Stacks_and_Integrations\"><\/span><span style=\"font-weight: 400;color: #000000\">2. Software Stacks and Integrations<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;color: #000000\">DGX is more complete than HGX. The comparison table below can be seen for details.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><\/td>\n<td>\n<p style=\"text-align: left\"><span style=\"color: #000000\"><b>HGX<\/b><\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left\"><span style=\"color: #000000\"><b>DGX<\/b><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left\"><span style=\"color: #000000\"><b>Operating System<\/b><\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left\"><span style=\"font-weight: 400;color: #000000\">NO<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left\"><span style=\"font-weight: 400;color: #000000\">DGX OS\/ Ubuntu\/ <a style=\"color: #000000\" href=\"https:\/\/www.redhat.com\/en\" target=\"_blank\" rel=\"noopener\">Red Hat Enterprise Linux<\/a> \/ <a style=\"color: #000000\" href=\"https:\/\/rockylinux.org\/zh-CN\" target=\"_blank\" rel=\"noopener\">Rocky-Operating System<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left\"><span style=\"color: #000000\"><b>Software<\/b><\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left\"><span style=\"font-weight: 400;color: #000000\">Fully optimized NVIDIA AI and HPC software stack from <a style=\"color: #000000\" href=\"https:\/\/www.nvidia.com\/en-us\/gpu-cloud\/\" target=\"_blank\" rel=\"noopener\">NGC<\/a><\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left\"><span style=\"font-weight: 400;color: #000000\">NVIDIA AI Enterprise NVIDIA Base Command<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"3_Customizability\"><\/span><span style=\"font-weight: 400;color: #000000\">3. Customizability<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;color: #000000\">HGX is highly customizable, allowing users to add or remove GPUs based on their computing needs.<\/span><\/p>\n<p><span style=\"font-weight: 400;color: #000000\">DGX is not as customizable as HGX, and the hardware configuration is fixed.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"4_Target_Users_and_Applications\"><\/span><span style=\"font-weight: 400;color: #000000\">4. Target Users and Applications<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;color: #000000\">HGX is primarily aimed at researchers and developers who need a flexible and scalable platform to meet their high-performance computing needs. It is suitable for applications such as cloud data centers, high-performance computing, large-scale AI R&amp;D, and customizable infrastructure.<\/span><\/p>\n<p><span style=\"font-weight: 400;color: #000000\">DGX is designed for businesses that need a powerful, ready-to-use AI solution. It is ideal for applications such as AI and deep learning development, edge computing, healthcare and medical research, as well as content creation and media.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"5_Cost\"><\/span><span style=\"font-weight: 400;color: #000000\">5. Cost<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;color: #000000\">HGX is modular in design and has flexible pricing. DGX is an all-in-one high-end solution that is expensive.<\/span><\/p>\n<p><span style=\"font-weight: 400;color: #000000\">But DGX is expensive and it&#8217;s not a generalization. If DGX is too much performance for you, you actually only need 4-<a style=\"color: #000000\" href=\"https:\/\/mvslinks.com\/th\/news\/blog\/simple-guide-nvidia-h100-h200-b100-b200-b200-gb200-hgx-dgx\/\" target=\"_blank\" rel=\"noopener\">GPU<\/a>s, or 2-GPUs. Then DGX is indeed expensive compared to HGX. But if you need 8-GPUs, then DGX may be more cost-effective for you.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"6_Computing_Performance\"><\/span><span style=\"font-weight: 400;color: #000000\">6. Computing Performance<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;color: #000000\">Taking the H100 as an example, the 4-GPU version of HGX does not support NVSwitch, and the 8-GPU version of HGX supports the 3rd generation NVSwitch. NVSwitch supports the base blocks for advanced multi-GPU communication within and between servers.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;color: #000000\">In DGX, the fourth-generation NVLink is combined with NVSwitch\u2122 to provide 100 GB\/s connectivity between each GPU in every DGX H900 system.<\/span><\/p>\n<p><span style=\"font-weight: 400;color: #000000\">Equipped with eight H100 GPUs per system, connected as one via NVLink\u00ae, each DGX H100 delivers 32 petaflops of AI performance with the new FP8 precision, which is 6x higher than the previous generation.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;color: #000000\">In general, DGX will have more computing power than HGX with the same number of GPUs.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span><span style=\"font-weight: 400;color: #000000\">Conclusion<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;color: #000000\">How to choose:<\/span><\/p>\n<p><span style=\"font-weight: 400;color: #000000\">If you don&#8217;t want to spend energy on building a computer, configuring software, and system environment, choose DGX.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;color: #000000\">If you want a high degree of freedom to customize software and hardware, choose HGX.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;color: #000000\">Most cloud platforms only provide the HGX version. The reason for this is that there is no unified standard for HGX. The cloud platform can be priced differently through the differentiated configuration of other hardware. Cloud platforms often only indicate that their servers are GPUs, but other hardware configurations, including hard disks, memory, CPUs, and network cards, are not marked. Or this information will be hidden in the documentation and need to be read very carefully by the developer. It&#8217;s this information gap that gives the cloud platform room for pricing.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;color: #000000\">Same GPU configuration, but due to different hardware configurations, the performance of the server will be different, and the pricing will be different. Enterprises and developers have a difficult time choosing a GPU ECS.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;color: #000000\">It is not only the GPU that determines computing performance, but also the CPU, memory, network, hard disk, and even heat dissipation. When choosing a GPU cloud service, don&#8217;t look at the cheap, don&#8217;t just look at the number of GPUs. Or after the actual test, choose according to the performance.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;color: #000000\">When purchasing optical modules\/ AOC\/DAC cables, it is also crucial to choose a reliable supplier. <a style=\"color: #000000\" href=\"https:\/\/mvslinks.com\/th\/\">MVSLINK<\/a> is a reliable provider of optical network solutions to build a fully connected, intelligent world through innovative computing and networking solutions.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>As a leader in the field of artificial intelligence (AI) and high-performance computing (HPC), NVIDIA offers a number of innovative computing platforms designed to meet the needs of different application scenarios. While the names sound similar, they are different ways for NVIDIA to sell its 8x GPU systems with NVLink. In addition, NVIDIA&#8217;s business model [&hellip;]<\/p>","protected":false},"author":2,"featured_media":13334,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"postBodyCss":"","postBodyMargin":[],"postBodyPadding":[],"postBodyBackground":{"backgroundType":"classic","gradient":""},"footnotes":""},"categories":[1],"tags":[],"post_folder":[],"class_list":["post-13328","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v23.0 (Yoast SEO v24.8.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NVIDIA HGX vs. DGX: How to Choose? - mvslinks.com<\/title>\n<meta name=\"description\" content=\"Learn about the definition of the NVIDIA HGX Platform and DGX platform, and understand the distinction between the NVIDIA HGX and DGX.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mvslinks.com\/th\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/\" \/>\n<meta property=\"og:locale\" content=\"th_TH\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NVIDIA HGX vs. DGX: How to Choose?\" \/>\n<meta property=\"og:description\" content=\"Learn about the definition of the NVIDIA HGX Platform and DGX platform, and understand the distinction between the NVIDIA HGX and DGX.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/mvslinks.com\/th\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/\" \/>\n<meta property=\"og:site_name\" content=\"mvslinks.com\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/mvslink\/\" \/>\n<meta property=\"article:published_time\" content=\"2024-12-19T07:29:19+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-12-19T08:43:33+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/mvslinks.com\/wp-content\/uploads\/2024\/12\/HGX-vs-DGX.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"562\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Ella\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@mvslink\" \/>\n<meta name=\"twitter:site\" content=\"@mvslink\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ella\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 \u0e19\u0e32\u0e17\u0e35\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/mvslinks.com\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/mvslinks.com\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/\"},\"author\":{\"name\":\"Ella\",\"@id\":\"https:\/\/mvslinks.com\/#\/schema\/person\/4f086077ef2e7af17e2d51143abffe7a\"},\"headline\":\"NVIDIA HGX vs. DGX: How to Choose?\",\"datePublished\":\"2024-12-19T07:29:19+00:00\",\"dateModified\":\"2024-12-19T08:43:33+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/mvslinks.com\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/\"},\"wordCount\":921,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/mvslinks.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/mvslinks.com\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/mvslinks.com\/wp-content\/uploads\/2024\/12\/HGX-vs-DGX.jpg\",\"articleSection\":[\"Blog\"],\"inLanguage\":\"th\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/mvslinks.com\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/mvslinks.com\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/\",\"url\":\"https:\/\/mvslinks.com\/news\/blog\/how-to-choose-nvidia-hgx-and-dgx\/\",\"name\":\"NVIDIA HGX vs. DGX: How to Choose? 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