{"id":2146,"date":"2024-05-04T19:41:03","date_gmt":"2024-05-04T19:41:03","guid":{"rendered":"http:\/\/gpuhut.com\/?page_id=2146"},"modified":"2024-05-18T10:07:10","modified_gmt":"2024-05-18T10:07:10","slug":"mxnet","status":"publish","type":"page","link":"http:\/\/gpuhut.com\/?page_id=2146","title":{"rendered":"MxNet"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"2146\" class=\"elementor elementor-2146\">\n\t\t\t\t<div class=\"has_eae_slider elementor-element elementor-element-8bcd764 e-flex e-con-boxed elementor-invisible e-con e-parent\" data-id=\"8bcd764\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;animation&quot;:&quot;fadeIn&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-3211a19 e-con-full e-flex e-con e-child\" data-id=\"3211a19\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1cd09d4 elementor-widget elementor-widget-heading\" data-id=\"1cd09d4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.21.0 - 25-04-2024 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h4 class=\"elementor-heading-title elementor-size-default\">Fastest And Best GPU SERVERS PROVIDER<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5e9b6ee elementor-invisible elementor-widget elementor-widget-heading\" data-id=\"5e9b6ee\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInUp&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">GPU Dedicated Server for MXNet and Deep Learning<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-68cc8a5 elementor-invisible elementor-widget elementor-widget-text-editor\" data-id=\"68cc8a5\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInUp&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.21.0 - 25-04-2024 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It is portable and lightweight, scalable to many GPUs and machines. We provide bare metal servers with GPUs that are specifically designed for deep learning with MXNet.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-118e124 elementor-mobile-align-center elementor-widget elementor-widget-button\" data-id=\"118e124\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">explore gpu hosting now<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-c7ce7f0 e-flex e-con-boxed e-con e-parent\" data-id=\"c7ce7f0\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-cce2d62 e-flex e-con-boxed e-con e-child\" data-id=\"cce2d62\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-9297048 e-con-full e-flex e-con e-child\" data-id=\"9297048\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e2f015b elementor-widget__width-auto elementor-widget elementor-widget-counter\" data-id=\"e2f015b\" data-element_type=\"widget\" data-widget_type=\"counter.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.21.0 - 25-04-2024 *\/\n.elementor-counter{display:flex;justify-content:center;align-items:stretch;flex-direction:column-reverse}.elementor-counter .elementor-counter-number{flex-grow:var(--counter-number-grow,0)}.elementor-counter .elementor-counter-number-wrapper{flex:1;display:flex;font-size:69px;font-weight:600;line-height:1;text-align:center}.elementor-counter .elementor-counter-number-prefix{text-align:end;flex-grow:var(--counter-prefix-grow,1);white-space:pre-wrap}.elementor-counter .elementor-counter-number-suffix{text-align:start;flex-grow:var(--counter-suffix-grow,1);white-space:pre-wrap}.elementor-counter .elementor-counter-title{flex:1;display:flex;justify-content:center;align-items:center;margin:0;padding:0;font-size:19px;font-weight:400;line-height:2.5}<\/style>\t\t<div class=\"elementor-counter\">\n\t\t\t\t\t\t<div class=\"elementor-counter-number-wrapper\">\n\t\t\t\t<span class=\"elementor-counter-number-prefix\"><\/span>\n\t\t\t\t<span class=\"elementor-counter-number\" data-duration=\"2000\" data-to-value=\"10\" data-from-value=\"1\" data-delimiter=\",\">1<\/span>\n\t\t\t\t<span class=\"elementor-counter-number-suffix\">K<\/span>\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cab60d7 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"cab60d7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">GPU Servers Delivered<\/h6>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-be80bd2 e-con-full e-flex e-con e-child\" data-id=\"be80bd2\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d2bd134 elementor-widget__width-auto elementor-widget elementor-widget-counter\" data-id=\"d2bd134\" data-element_type=\"widget\" data-widget_type=\"counter.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-counter\">\n\t\t\t\t\t\t<div class=\"elementor-counter-number-wrapper\">\n\t\t\t\t<span class=\"elementor-counter-number-prefix\"><\/span>\n\t\t\t\t<span class=\"elementor-counter-number\" data-duration=\"2000\" data-to-value=\"1.5\" data-from-value=\"0\" data-delimiter=\",\">0<\/span>\n\t\t\t\t<span class=\"elementor-counter-number-suffix\">K<\/span>\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4f25404 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"4f25404\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">Active Graphics Cards<\/h6>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-792641c e-con-full e-flex e-con e-child\" data-id=\"792641c\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7b40b29 elementor-widget__width-auto elementor-widget elementor-widget-counter\" data-id=\"7b40b29\" data-element_type=\"widget\" data-widget_type=\"counter.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-counter\">\n\t\t\t\t\t\t<div class=\"elementor-counter-number-wrapper\">\n\t\t\t\t<span class=\"elementor-counter-number-prefix\"><\/span>\n\t\t\t\t<span class=\"elementor-counter-number\" data-duration=\"2000\" data-to-value=\"5\" data-from-value=\"1\" data-delimiter=\",\">1<\/span>\n\t\t\t\t<span class=\"elementor-counter-number-suffix\">Years<\/span>\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d5710fa elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"d5710fa\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">GPU Hosting Expertise<\/h6>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-9556987 e-con-full e-flex e-con e-child\" data-id=\"9556987\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7e7b099 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"7e7b099\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">24\/7 <\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3535899 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"3535899\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">GPU Expert Online Support<\/h6>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-04a3e96 e-flex e-con-boxed e-con e-parent\" data-id=\"04a3e96\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1534806 elementor-widget elementor-widget-text-editor\" data-id=\"1534806\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"d-title\"><div class=\"container\"><div class=\"row row-cols-1  justify-content-center d-text-center d-title-inner\"><h2 class=\"col col-md-10 d-h2 d-color-black  core-title\">Get Started Resources<\/h2><div class=\"col col-md-10 d-color-black  d-fs-normal d-fw-500\">Get what you need to get started with MXNet quickly.<\/div><\/div><\/div><\/div><div class=\"d-paragraph-card\"><div class=\"container\"><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner no-gutters d-box-shadow d-bg-color-white px-3 pt-4 pb-1\"><h3 class=\"col col-md-12 d-h3 d-color-black d-fs-20 d-fw-600 d-lineheight-24 core-title\">Prerequisites<\/h3><div class=\"col col-md-12 d-color-black  d-fs-normal d-fw-500 d-fs-normal\">description description description description description description description description<\/div><div class=\"col\"><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner no-gutters\"><div class=\"col col-md-12  d-color-black d-fs-normal d-fw-500 core-title\">1.\u00a0<a class=\"d-color-primary\" title=\"Choose a plan\" href=\"https:\/\/www.gpu-mart.com\/mxnet-gpu#plans\">Choose a plan<\/a>\u00a0and place an order<\/div><div class=\"col\">\u00a0<\/div><\/div><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner no-gutters\"><div class=\"col col-md-12  d-color-black d-fs-normal d-fw-500 core-title\">2. Ubuntu 16.04 or higher, Windows 10 or higher<\/div><div class=\"col\">\u00a0<\/div><\/div><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner no-gutters\"><div class=\"col col-md-12  d-color-black d-fs-normal d-fw-500 core-title\">3. Install NVIDIA\u00ae CUDA\u00ae Toolkit &amp; cuDNN<\/div><div class=\"col\">\u00a0<\/div><\/div><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner no-gutters\"><div class=\"col col-md-12  d-color-black d-fs-normal d-fw-500 core-title\">4. Python 3.6 &#8211; 3.8 recommended<\/div><div class=\"col\">\u00a0<\/div><\/div><\/div><\/div><\/div><\/div><div class=\"d-paragraph-card\"><div class=\"container\"><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner no-gutters d-box-shadow d-bg-color-white px-3 pt-4 pb-1\"><h3 class=\"col col-md-12 d-h3 d-color-black d-fs-20 d-fw-600 d-lineheight-24 core-title\">Step-by-Step Instructions<\/h3><div class=\"col col-md-12 d-color-black  d-fs-normal d-fw-500 d-fs-normal\">Go to\u00a0<a class=\"d-color-primary\" title=\"MXNet\" href=\"https:\/\/mxnet.apache.org\/versions\/1.9.1\/get_started?\" target=\"_blank\" rel=\"noopener\">MXNet&#8217;s site<\/a>, read the installation guide.<\/div><div class=\"col\"><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner no-gutters\"><div class=\"col col-md-12  d-color-black d-fs-normal d-fw-500 core-title\">1. Indicate your preferred configuration to see specific instructions.<\/div><div class=\"col col-md-12 d-color-black  d-fs-normal d-fw-500\">Sample:<\/div><div class=\"col\"><img decoding=\"async\" class=\"d-img d-lazy-img\" src=\"https:\/\/images.cloudclusters.io\/4cb1e78fb62a46c3a171cc5182634cec\/mxnet-instruction.png\" alt=\"Instruction\" \/><\/div><\/div><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner no-gutters\"><div class=\"col col-md-12  d-color-black d-fs-normal d-fw-500 core-title\">2. Install MXNet with pip<\/div><div class=\"col col-md-12 d-color-black  d-fs-normal d-fw-500\">Make sure your installed CUDA version matches the CUDA version in the pip package.<\/div><div class=\"col\"><pre class=\"d-fs-normal d-lineheight-26 mb-0\">Sample:\npip install --upgrade pip\npip install mxnet-cu112<\/pre><\/div><\/div><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner no-gutters\"><div class=\"col col-md-12  d-color-black d-fs-normal d-fw-500 core-title\">3.\u00a0<a class=\"d-color-primary\" title=\"Validate Your MXNet Installation\" href=\"https:\/\/mxnet.apache.org\/get_started\/validate_mxnet.html\" target=\"_blank\" rel=\"noopener\">Verify the installation<\/a><\/div><div class=\"col col-md-12 d-color-black  d-fs-normal d-fw-500\">Make sure your\u00a0<a class=\"d-color-primary\" href=\"https:\/\/www.gpu-mart.com\/mxnet-gpu#\">installed<\/a>\u00a0CUDA version matches the CUDA version in the pip package.<\/div><div class=\"col\"><pre class=\"d-fs-normal d-lineheight-26 mb-0\">Sample:\n# Python with GPU, use mx.gpu(), to set MXNet context to be GPUs\nimport mxnet as mx\na = mx.nd.ones((2, 3), mx.gpu())\nb = a * 2 + 1\nb.asnumpy()\n# If you don't get an import error, then MXNet is ready for python.<\/pre><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"d-paragraph-card\"><div class=\"container\"><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner no-gutters d-box-shadow d-bg-color-white px-3 pt-4 pb-1\"><div class=\"d-title\"><div class=\"container\"><div class=\"row row-cols-1  justify-content-center d-text-center d-title-inner\"><h2 class=\"col col-md-10 d-h2 d-color-black  core-title\">Feature Comparison: MXNet vs Keras vs PyTorch vs TensorFlow<\/h2><div class=\"col col-md-10 d-color-black  d-fs-normal d-fw-500\">Everyone&#8217;s situation and needs are different, so it boils down to which features matter the most for your AI projects.<\/div><\/div><\/div><\/div><div class=\"container d-simpletable\"><div class=\"row\"><div class=\"col col-scroll-x py-0\"><table class=\"d-core-table bordered\"><thead><tr><th class=\"cell-align-center cell-valign-middle\">Features<\/th><th class=\"cell-align-center cell-valign-middle\">MXNet<\/th><th class=\"cell-align-center cell-valign-middle\">Keras<\/th><th class=\"cell-align-center cell-valign-middle\">PyTorch<\/th><th class=\"cell-align-center cell-valign-middle\">TensorFlow<\/th><\/tr><\/thead><tbody><tr><td class=\"cell-align-center cell-valign-middle\">API Level<\/td><td class=\"cell-align-center cell-valign-middle\">High and low<\/td><td class=\"cell-align-center cell-valign-middle\">High<\/td><td class=\"cell-align-center cell-valign-middle\">Low<\/td><td class=\"cell-align-center cell-valign-middle\">High and low<\/td><\/tr><tr><td class=\"cell-align-center cell-valign-middle\">Architecture<\/td><td class=\"cell-align-center cell-valign-middle\">Complex, less readable<\/td><td class=\"cell-align-center cell-valign-middle\">Simple, concise, readable<\/td><td class=\"cell-align-center cell-valign-middle\">Complex, less readable<\/td><td class=\"cell-align-center cell-valign-middle\">Not easy to use<\/td><\/tr><tr><td class=\"cell-align-center cell-valign-middle\">Datasets<\/td><td class=\"cell-align-center cell-valign-middle\">Large datasets, high performance<\/td><td class=\"cell-align-center cell-valign-middle\">Smaller datasets<\/td><td class=\"cell-align-center cell-valign-middle\">Large datasets, high performance<\/td><td class=\"cell-align-center cell-valign-middle\">Large datasets, high performance<\/td><\/tr><tr><td class=\"cell-align-center cell-valign-middle\">Debugging<\/td><td class=\"cell-align-center cell-valign-middle\">Hard to debug pure symbol codes<\/td><td class=\"cell-align-center cell-valign-middle\">Simple network, so debugging is not often needed<\/td><td class=\"cell-align-center cell-valign-middle\">Good debugging capabilities<\/td><td class=\"cell-align-center cell-valign-middle\">Difficult to conduct debugging<\/td><\/tr><tr><td class=\"cell-align-center cell-valign-middle\">Trained Models Included<\/td><td class=\"cell-align-center cell-valign-middle\">Yes<\/td><td class=\"cell-align-center cell-valign-middle\">Yes<\/td><td class=\"cell-align-center cell-valign-middle\">Yes<\/td><td class=\"cell-align-center cell-valign-middle\">Yes<\/td><\/tr><tr><td class=\"cell-align-center cell-valign-middle\">Popularity<\/td><td class=\"cell-align-center cell-valign-middle\">Fourth most popular<\/td><td class=\"cell-align-center cell-valign-middle\">Most popular<\/td><td class=\"cell-align-center cell-valign-middle\">Third most popular<\/td><td class=\"cell-align-center cell-valign-middle\">Second most popular<\/td><\/tr><tr><td class=\"cell-align-center cell-valign-middle\">Speed<\/td><td class=\"cell-align-center cell-valign-middle\">Fastest on ResNet-50, high performance<\/td><td class=\"cell-align-center cell-valign-middle\">Slow, low performance<\/td><td class=\"cell-align-center cell-valign-middle\">Fastest on Faster-RCNN, high performance<\/td><td class=\"cell-align-center cell-valign-middle\">Fastest on VGG-16, high performance<\/td><\/tr><tr><td class=\"cell-align-center cell-valign-middle\">Written In<\/td><td class=\"cell-align-center cell-valign-middle\">C++, Python<\/td><td class=\"cell-align-center cell-valign-middle\">Python<\/td><td class=\"cell-align-center cell-valign-middle\">Lua, LuaJIT, C, CUDA, and C++<\/td><td class=\"cell-align-center cell-valign-middle\">C++, CUDA, Python<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-3445653 e-flex e-con-boxed e-con e-parent\" data-id=\"3445653\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-a2a0548 e-con-full e-flex e-con e-child\" data-id=\"a2a0548\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d8b0325 elementor-widget elementor-widget-heading\" data-id=\"d8b0325\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">6 Reasons to Choose our GPU Servers for MXNet<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eeed392 elementor-widget elementor-widget-text-editor\" data-id=\"eeed392\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>GPU hosting enables powerful MXNet GPU hosting features on raw bare metal hardware, served on-demand. No more inefficiency, noisy neighbors, or complex pricing calculators.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-ef722fb e-con-full e-flex e-con e-child\" data-id=\"ef722fb\" data-element_type=\"container\">\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-b9c5d57 e-con-full e-flex e-con e-child\" data-id=\"b9c5d57\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5354fa0 elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"5354fa0\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<link rel=\"stylesheet\" href=\"http:\/\/gpuhut.com\/wp-content\/plugins\/elementor\/assets\/css\/widget-icon-box.min.css\">\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"icon icon-server\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h4 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tIntel Xeon CPU\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h4>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tIntel Xeon has extraordinary processing power and speed, which is very suitable for running deep learning frameworks. So you can totally use our Intel-Xeon-powered GPU Servers for MXNet.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-c7e050f e-con-full e-flex e-con e-child\" data-id=\"c7e050f\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4c162ec elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"4c162ec\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-memory\" viewBox=\"0 0 640 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M640 130.94V96c0-17.67-14.33-32-32-32H32C14.33 64 0 78.33 0 96v34.94c18.6 6.61 32 24.19 32 45.06s-13.4 38.45-32 45.06V320h640v-98.94c-18.6-6.61-32-24.19-32-45.06s13.4-38.45 32-45.06zM224 256h-64V128h64v128zm128 0h-64V128h64v128zm128 0h-64V128h64v128zM0 448h64v-26.67c0-8.84 7.16-16 16-16s16 7.16 16 16V448h128v-26.67c0-8.84 7.16-16 16-16s16 7.16 16 16V448h128v-26.67c0-8.84 7.16-16 16-16s16 7.16 16 16V448h128v-26.67c0-8.84 7.16-16 16-16s16 7.16 16 16V448h64v-96H0v96z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h4 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tSSD-Based Drives\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h4>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tYou can never go wrong with our own top-notch GPU dedicated servers, loaded with the latest Intel Xeon processors, terabytes of SSD disk space, and 128 GB of RAM per server.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-5e54ada e-con-full e-flex e-con e-child\" data-id=\"5e54ada\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9747d6b elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"9747d6b\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-far-paper-plane\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M440 6.5L24 246.4c-34.4 19.9-31.1 70.8 5.7 85.9L144 379.6V464c0 46.4 59.2 65.5 86.6 28.6l43.8-59.1 111.9 46.2c5.9 2.4 12.1 3.6 18.3 3.6 8.2 0 16.3-2.1 23.6-6.2 12.8-7.2 21.6-20 23.9-34.5l59.4-387.2c6.1-40.1-36.9-68.8-71.5-48.9zM192 464v-64.6l36.6 15.1L192 464zm212.6-28.7l-153.8-63.5L391 169.5c10.7-15.5-9.5-33.5-23.7-21.2L155.8 332.6 48 288 464 48l-59.4 387.3z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h4 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tFull Root\/Admin Access\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h4>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tWith full root\/admin access, you will be able to take full control of your GPU dedicated server very easily and quickly.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-8cf662e e-con-full e-flex e-con e-child\" data-id=\"8cf662e\" data-element_type=\"container\">\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-6abb0f1 e-con-full e-flex e-con e-child\" data-id=\"6abb0f1\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-aebe1a9 elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"aebe1a9\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-far-lightbulb\" viewBox=\"0 0 352 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M176 80c-52.94 0-96 43.06-96 96 0 8.84 7.16 16 16 16s16-7.16 16-16c0-35.3 28.72-64 64-64 8.84 0 16-7.16 16-16s-7.16-16-16-16zM96.06 459.17c0 3.15.93 6.22 2.68 8.84l24.51 36.84c2.97 4.46 7.97 7.14 13.32 7.14h78.85c5.36 0 10.36-2.68 13.32-7.14l24.51-36.84c1.74-2.62 2.67-5.7 2.68-8.84l.05-43.18H96.02l.04 43.18zM176 0C73.72 0 0 82.97 0 176c0 44.37 16.45 84.85 43.56 115.78 16.64 18.99 42.74 58.8 52.42 92.16v.06h48v-.12c-.01-4.77-.72-9.51-2.15-14.07-5.59-17.81-22.82-64.77-62.17-109.67-20.54-23.43-31.52-53.15-31.61-84.14-.2-73.64 59.67-128 127.95-128 70.58 0 128 57.42 128 128 0 30.97-11.24 60.85-31.65 84.14-39.11 44.61-56.42 91.47-62.1 109.46a47.507 47.507 0 0 0-2.22 14.3v.1h48v-.05c9.68-33.37 35.78-73.18 52.42-92.16C335.55 260.85 352 220.37 352 176 352 78.8 273.2 0 176 0z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h4 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\t99.9% Uptime Guarantee\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h4>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tWith enterprise-class data centers and infrastructure, we provide a 99.9% uptime guarantee for hosted GPUs for MXNet and networks.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-ce996e1 e-con-full e-flex e-con e-child\" data-id=\"ce996e1\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-18be357 elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"18be357\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-far-credit-card\" viewBox=\"0 0 576 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M527.9 32H48.1C21.5 32 0 53.5 0 80v352c0 26.5 21.5 48 48.1 48h479.8c26.6 0 48.1-21.5 48.1-48V80c0-26.5-21.5-48-48.1-48zM54.1 80h467.8c3.3 0 6 2.7 6 6v42H48.1V86c0-3.3 2.7-6 6-6zm467.8 352H54.1c-3.3 0-6-2.7-6-6V256h479.8v170c0 3.3-2.7 6-6 6zM192 332v40c0 6.6-5.4 12-12 12h-72c-6.6 0-12-5.4-12-12v-40c0-6.6 5.4-12 12-12h72c6.6 0 12 5.4 12 12zm192 0v40c0 6.6-5.4 12-12 12H236c-6.6 0-12-5.4-12-12v-40c0-6.6 5.4-12 12-12h136c6.6 0 12 5.4 12 12z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h4 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tDedicated IP\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h4>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tOne of the premium features is the dedicated IP address. Even the cheapest GPU dedicated hosting plan is fully packed with dedicated IPv4 & IPv6 Internet protocols.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-861f29f e-con-full e-flex e-con e-child\" data-id=\"861f29f\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7fe64d3 elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"7fe64d3\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-far-user-circle\" viewBox=\"0 0 496 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M248 104c-53 0-96 43-96 96s43 96 96 96 96-43 96-96-43-96-96-96zm0 144c-26.5 0-48-21.5-48-48s21.5-48 48-48 48 21.5 48 48-21.5 48-48 48zm0-240C111 8 0 119 0 256s111 248 248 248 248-111 248-248S385 8 248 8zm0 448c-49.7 0-95.1-18.3-130.1-48.4 14.9-23 40.4-38.6 69.6-39.5 20.8 6.4 40.6 9.6 60.5 9.6s39.7-3.1 60.5-9.6c29.2 1 54.7 16.5 69.6 39.5-35 30.1-80.4 48.4-130.1 48.4zm162.7-84.1c-24.4-31.4-62.1-51.9-105.1-51.9-10.2 0-26 9.6-57.6 9.6-31.5 0-47.4-9.6-57.6-9.6-42.9 0-80.6 20.5-105.1 51.9C61.9 339.2 48 299.2 48 256c0-110.3 89.7-200 200-200s200 89.7 200 200c0 43.2-13.9 83.2-37.3 115.9z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h4 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tDDoS Protection\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h4>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tResources among different users are fully isolated to ensure your data security. DBM protects against DDoS from the edge fast while ensuring legitimate traffic of hosted GPUs for MXNet is not compromised.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-5cddfad e-flex e-con-boxed e-con e-parent\" data-id=\"5cddfad\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-1960746 e-con-full e-flex e-con e-child\" data-id=\"1960746\" data-element_type=\"container\">\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-5376484 e-con-full e-flex e-con e-child\" data-id=\"5376484\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-95cea3b elementor-widget elementor-widget-spacer\" data-id=\"95cea3b\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.21.0 - 25-04-2024 *\/\n.elementor-column .elementor-spacer-inner{height:var(--spacer-size)}.e-con{--container-widget-width:100%}.e-con-inner>.elementor-widget-spacer,.e-con>.elementor-widget-spacer{width:var(--container-widget-width,var(--spacer-size));--align-self:var(--container-widget-align-self,initial);--flex-shrink:0}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container,.e-con>.elementor-widget-spacer>.elementor-widget-container{height:100%;width:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer{height:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner{height:var(--container-widget-height,var(--spacer-size))}.e-con-inner>.elementor-widget-spacer.elementor-widget-empty,.e-con>.elementor-widget-spacer.elementor-widget-empty{position:relative;min-height:22px;min-width:22px}.e-con-inner>.elementor-widget-spacer.elementor-widget-empty .elementor-widget-empty-icon,.e-con>.elementor-widget-spacer.elementor-widget-empty .elementor-widget-empty-icon{position:absolute;top:0;bottom:0;left:0;right:0;margin:auto;padding:0;width:22px;height:22px}<\/style>\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-8176368 e-con-full e-flex e-con e-child\" data-id=\"8176368\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-18504e1 elementor-widget elementor-widget-heading\" data-id=\"18504e1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">FAQs of GPU Dedicated Server Hosting<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b8fe524 elementor-widget elementor-widget-text-editor\" data-id=\"b8fe524\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Find answers to the most frequently asked questions about GPU dedicated server hosting.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-70bab9a elementor-widget elementor-widget-accordion\" data-id=\"70bab9a\" data-element_type=\"widget\" data-widget_type=\"accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.21.0 - 25-04-2024 *\/\n.elementor-accordion{text-align:start}.elementor-accordion .elementor-accordion-item{border:1px solid #d5d8dc}.elementor-accordion .elementor-accordion-item+.elementor-accordion-item{border-top:none}.elementor-accordion .elementor-tab-title{margin:0;padding:15px 20px;font-weight:700;line-height:1;cursor:pointer;outline:none}.elementor-accordion .elementor-tab-title .elementor-accordion-icon{display:inline-block;width:1.5em}.elementor-accordion .elementor-tab-title .elementor-accordion-icon svg{width:1em;height:1em}.elementor-accordion .elementor-tab-title .elementor-accordion-icon.elementor-accordion-icon-right{float:right;text-align:right}.elementor-accordion .elementor-tab-title .elementor-accordion-icon.elementor-accordion-icon-left{float:left;text-align:left}.elementor-accordion .elementor-tab-title .elementor-accordion-icon .elementor-accordion-icon-closed{display:block}.elementor-accordion .elementor-tab-title .elementor-accordion-icon .elementor-accordion-icon-opened,.elementor-accordion .elementor-tab-title.elementor-active .elementor-accordion-icon-closed{display:none}.elementor-accordion .elementor-tab-title.elementor-active .elementor-accordion-icon-opened{display:block}.elementor-accordion .elementor-tab-content{display:none;padding:15px 20px;border-top:1px solid #d5d8dc}@media (max-width:767px){.elementor-accordion .elementor-tab-title{padding:12px 15px}.elementor-accordion .elementor-tab-title .elementor-accordion-icon{width:1.2em}.elementor-accordion .elementor-tab-content{padding:7px 15px}}.e-con-inner>.elementor-widget-accordion,.e-con>.elementor-widget-accordion{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-accordion\">\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1181\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-1181\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><svg class=\"e-font-icon-svg e-fas-plus-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zm144 276c0 6.6-5.4 12-12 12h-92v92c0 6.6-5.4 12-12 12h-56c-6.6 0-12-5.4-12-12v-92h-92c-6.6 0-12-5.4-12-12v-56c0-6.6 5.4-12 12-12h92v-92c0-6.6 5.4-12 12-12h56c6.6 0 12 5.4 12 12v92h92c6.6 0 12 5.4 12 12v56z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><svg class=\"e-font-icon-svg e-fas-minus-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zM124 296c-6.6 0-12-5.4-12-12v-56c0-6.6 5.4-12 12-12h264c6.6 0 12 5.4 12 12v56c0 6.6-5.4 12-12 12H124z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">What is MXNet used for?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1181\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-1181\"><p>MXNet is an open-source deep learning framework that allows you to define, train, and deploy deep neural networks on a wide array of devices, from cloud infrastructure to mobile devices. It&#8217;s highly scalable, allowing for fast model training, and supports a flexible programming model and multiple languages. To get started Deep learning with MXNet, you often need GPUs for MXNet.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1182\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"button\" aria-controls=\"elementor-tab-content-1182\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><svg class=\"e-font-icon-svg e-fas-plus-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zm144 276c0 6.6-5.4 12-12 12h-92v92c0 6.6-5.4 12-12 12h-56c-6.6 0-12-5.4-12-12v-92h-92c-6.6 0-12-5.4-12-12v-56c0-6.6 5.4-12 12-12h92v-92c0-6.6 5.4-12 12-12h56c6.6 0 12 5.4 12 12v92h92c6.6 0 12 5.4 12 12v56z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><svg class=\"e-font-icon-svg e-fas-minus-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zM124 296c-6.6 0-12-5.4-12-12v-56c0-6.6 5.4-12 12-12h264c6.6 0 12 5.4 12 12v56c0 6.6-5.4 12-12 12H124z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Who uses MXNet?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1182\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"region\" aria-labelledby=\"elementor-tab-title-1182\"><p>MXNet is supported by public cloud providers including Amazon Web Services (AWS) and Microsoft Azure. Amazon has chosen MXNet as its deep learning framework of choice at AWS.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1183\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"button\" aria-controls=\"elementor-tab-content-1183\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><svg class=\"e-font-icon-svg e-fas-plus-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zm144 276c0 6.6-5.4 12-12 12h-92v92c0 6.6-5.4 12-12 12h-56c-6.6 0-12-5.4-12-12v-92h-92c-6.6 0-12-5.4-12-12v-56c0-6.6 5.4-12 12-12h92v-92c0-6.6 5.4-12 12-12h56c6.6 0 12 5.4 12 12v92h92c6.6 0 12 5.4 12 12v56z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><svg class=\"e-font-icon-svg e-fas-minus-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zM124 296c-6.6 0-12-5.4-12-12v-56c0-6.6 5.4-12 12-12h264c6.6 0 12 5.4 12 12v56c0 6.6-5.4 12-12 12H124z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">What is the relationship between MXNet and TensorFlow?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1183\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"region\" aria-labelledby=\"elementor-tab-title-1183\"><p>Both MXNet and TensorFlow use computation graph abstraction, which was initially used by Theano, then adopted by other packages, such as CGT, Caffe2, and Purine. Currently, TensorFlow adopts an optimized symbolic API. MXNet supports a mixed approach, with a dynamic dependency scheduler to combine symbolic and imperative programming.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1184\" class=\"elementor-tab-title\" data-tab=\"4\" role=\"button\" aria-controls=\"elementor-tab-content-1184\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><svg class=\"e-font-icon-svg e-fas-plus-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zm144 276c0 6.6-5.4 12-12 12h-92v92c0 6.6-5.4 12-12 12h-56c-6.6 0-12-5.4-12-12v-92h-92c-6.6 0-12-5.4-12-12v-56c0-6.6 5.4-12 12-12h92v-92c0-6.6 5.4-12 12-12h56c6.6 0 12 5.4 12 12v92h92c6.6 0 12 5.4 12 12v56z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><svg class=\"e-font-icon-svg e-fas-minus-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zM124 296c-6.6 0-12-5.4-12-12v-56c0-6.6 5.4-12 12-12h264c6.6 0 12 5.4 12 12v56c0 6.6-5.4 12-12 12H124z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">What are the best GPUs for MXNet deep learning?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1184\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"region\" aria-labelledby=\"elementor-tab-title-1184\"><p>Today, leading vendor NVIDIA offers the best GPUs for MXNet deep learning in 2022. The models are the RTX 3090, RTX 3080, RTX 3070, RTX A6000, RTX A5000, RTX A4000, Tesla K80, and Tesla K40. We will offer more suitable GPUs for MXNet in 2023.<br \/>Feel free to choose the best plan that has the right CPU, resources, and GPUs for MXNet.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1185\" class=\"elementor-tab-title\" data-tab=\"5\" role=\"button\" aria-controls=\"elementor-tab-content-1185\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><svg class=\"e-font-icon-svg e-fas-plus-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zm144 276c0 6.6-5.4 12-12 12h-92v92c0 6.6-5.4 12-12 12h-56c-6.6 0-12-5.4-12-12v-92h-92c-6.6 0-12-5.4-12-12v-56c0-6.6 5.4-12 12-12h92v-92c0-6.6 5.4-12 12-12h56c6.6 0 12 5.4 12 12v92h92c6.6 0 12 5.4 12 12v56z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><svg class=\"e-font-icon-svg e-fas-minus-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zM124 296c-6.6 0-12-5.4-12-12v-56c0-6.6 5.4-12 12-12h264c6.6 0 12 5.4 12 12v56c0 6.6-5.4 12-12 12H124z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Is MXNet faster than PyTorch?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1185\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"5\" role=\"region\" aria-labelledby=\"elementor-tab-title-1185\"><p>In Apache MXNet, you don&#8217;t need to flatten the 4-D input into 2-D when feeding the data into forward pass. MXNet has the fastest training speed on ResNet-50, and PyTorch is the fastest on Faster-RCNN. Though you need to be cautious with such toy comparisons.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1186\" class=\"elementor-tab-title\" data-tab=\"6\" role=\"button\" aria-controls=\"elementor-tab-content-1186\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><svg class=\"e-font-icon-svg e-fas-plus-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zm144 276c0 6.6-5.4 12-12 12h-92v92c0 6.6-5.4 12-12 12h-56c-6.6 0-12-5.4-12-12v-92h-92c-6.6 0-12-5.4-12-12v-56c0-6.6 5.4-12 12-12h92v-92c0-6.6 5.4-12 12-12h56c6.6 0 12 5.4 12 12v92h92c6.6 0 12 5.4 12 12v56z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><svg class=\"e-font-icon-svg e-fas-minus-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zM124 296c-6.6 0-12-5.4-12-12v-56c0-6.6 5.4-12 12-12h264c6.6 0 12 5.4 12 12v56c0 6.6-5.4 12-12 12H124z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Is MXNet better than TensorFlow?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1186\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"6\" role=\"region\" aria-labelledby=\"elementor-tab-title-1186\"><div class=\"col-sm-12 mb-3\"><div class=\"d-faq d-box-shadow\"><div class=\"d-expansion-panel\"><div class=\"\"><div class=\"d-faq-body\"><div class=\"content d-fw-400 d-fs-14\">Compared to TensorFlow, MXNet has a smaller open-source community. Improvements, bug fixes, and other features take longer due to a lack of major community support. Despite being widely used by many organizations in the tech industry, MXNet is not as popular as Tensorflow.<\/div><\/div><\/div><\/div><\/div><\/div><div class=\"col-sm-12 mb-3\"><div class=\"d-faq d-box-shadow\"><div class=\"d-expansion-panel\"><div class=\"d-faq-header clearfix\"><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner\"><h3 class=\"col col-md-12 d-h3 d-color-black d-fw-500 d-fs-18 d-lineheight-30 d-text-overflow-1   core-title\">What is the advantage of bare metal GPUs for MXNet?<\/h3><\/div><\/div><\/div><\/div><\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1187\" class=\"elementor-tab-title\" data-tab=\"7\" role=\"button\" aria-controls=\"elementor-tab-content-1187\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><svg class=\"e-font-icon-svg e-fas-plus-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zm144 276c0 6.6-5.4 12-12 12h-92v92c0 6.6-5.4 12-12 12h-56c-6.6 0-12-5.4-12-12v-92h-92c-6.6 0-12-5.4-12-12v-56c0-6.6 5.4-12 12-12h92v-92c0-6.6 5.4-12 12-12h56c6.6 0 12 5.4 12 12v92h92c6.6 0 12 5.4 12 12v56z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><svg class=\"e-font-icon-svg e-fas-minus-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zM124 296c-6.6 0-12-5.4-12-12v-56c0-6.6 5.4-12 12-12h264c6.6 0 12 5.4 12 12v56c0 6.6-5.4 12-12 12H124z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">What is the advantage of bare metal GPUs for MXNet?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1187\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"7\" role=\"region\" aria-labelledby=\"elementor-tab-title-1187\"><p>Bare metal GPU servers for MXNet will provide you with an improved application and data performance while maintaining high-level security. When there is no virtualization, there is no overhead for a hypervisor, so the performance benefits. Most virtual environments and cloud solutions come with security risks.<br \/>DBM GPU Servers for MXNet are all bare metal servers, so we have best GPU dedicated server for AI.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Fastest And Best GPU SERVERS PROVIDER GPU Dedicated Server for MXNet and Deep Learning Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It is portable and lightweight, scalable to many GPUs and machines. We provide bare metal servers with GPUs that are specifically designed for deep learning with MXNet. explore gpu hosting now 1 K GPU Servers Delivered 0 K Active Graphics Cards 1 Years GPU Hosting Expertise 24\/7 GPU [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"om_disable_all_campaigns":false,"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"full-width-container","site-content-style":"unboxed","site-sidebar-style":"unboxed","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"enabled","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-2146","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>MxNet - GpuHut<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/gpuhut.com\/?page_id=2146\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MxNet - GpuHut\" \/>\n<meta property=\"og:description\" content=\"Fastest And Best GPU SERVERS PROVIDER GPU Dedicated Server for MXNet and Deep Learning Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It is portable and lightweight, scalable to many GPUs and machines. We provide bare metal servers with GPUs that are specifically designed for deep learning with MXNet. explore gpu hosting now 1 K GPU Servers Delivered 0 K Active Graphics Cards 1 Years GPU Hosting Expertise 24\/7 GPU [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"http:\/\/gpuhut.com\/?page_id=2146\" \/>\n<meta property=\"og:site_name\" content=\"GpuHut\" \/>\n<meta property=\"article:modified_time\" content=\"2024-05-18T10:07:10+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/images.cloudclusters.io\/4cb1e78fb62a46c3a171cc5182634cec\/mxnet-instruction.png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"http:\/\/gpuhut.com\/?page_id=2146\",\"url\":\"http:\/\/gpuhut.com\/?page_id=2146\",\"name\":\"MxNet - GpuHut\",\"isPartOf\":{\"@id\":\"http:\/\/gpuhut.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"http:\/\/gpuhut.com\/?page_id=2146#primaryimage\"},\"image\":{\"@id\":\"http:\/\/gpuhut.com\/?page_id=2146#primaryimage\"},\"thumbnailUrl\":\"https:\/\/images.cloudclusters.io\/4cb1e78fb62a46c3a171cc5182634cec\/mxnet-instruction.png\",\"datePublished\":\"2024-05-04T19:41:03+00:00\",\"dateModified\":\"2024-05-18T10:07:10+00:00\",\"breadcrumb\":{\"@id\":\"http:\/\/gpuhut.com\/?page_id=2146#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"http:\/\/gpuhut.com\/?page_id=2146\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"http:\/\/gpuhut.com\/?page_id=2146#primaryimage\",\"url\":\"https:\/\/images.cloudclusters.io\/4cb1e78fb62a46c3a171cc5182634cec\/mxnet-instruction.png\",\"contentUrl\":\"https:\/\/images.cloudclusters.io\/4cb1e78fb62a46c3a171cc5182634cec\/mxnet-instruction.png\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"http:\/\/gpuhut.com\/?page_id=2146#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"http:\/\/gpuhut.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"MxNet\"}]},{\"@type\":\"WebSite\",\"@id\":\"http:\/\/gpuhut.com\/#website\",\"url\":\"http:\/\/gpuhut.com\/\",\"name\":\"GpuHut\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"http:\/\/gpuhut.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"MxNet - GpuHut","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"http:\/\/gpuhut.com\/?page_id=2146","og_locale":"en_US","og_type":"article","og_title":"MxNet - GpuHut","og_description":"Fastest And Best GPU SERVERS PROVIDER GPU Dedicated Server for MXNet and Deep Learning Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It is portable and lightweight, scalable to many GPUs and machines. We provide bare metal servers with GPUs that are specifically designed for deep learning with MXNet. explore gpu hosting now 1 K GPU Servers Delivered 0 K Active Graphics Cards 1 Years GPU Hosting Expertise 24\/7 GPU [&hellip;]","og_url":"http:\/\/gpuhut.com\/?page_id=2146","og_site_name":"GpuHut","article_modified_time":"2024-05-18T10:07:10+00:00","og_image":[{"url":"https:\/\/images.cloudclusters.io\/4cb1e78fb62a46c3a171cc5182634cec\/mxnet-instruction.png"}],"twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"http:\/\/gpuhut.com\/?page_id=2146","url":"http:\/\/gpuhut.com\/?page_id=2146","name":"MxNet - GpuHut","isPartOf":{"@id":"http:\/\/gpuhut.com\/#website"},"primaryImageOfPage":{"@id":"http:\/\/gpuhut.com\/?page_id=2146#primaryimage"},"image":{"@id":"http:\/\/gpuhut.com\/?page_id=2146#primaryimage"},"thumbnailUrl":"https:\/\/images.cloudclusters.io\/4cb1e78fb62a46c3a171cc5182634cec\/mxnet-instruction.png","datePublished":"2024-05-04T19:41:03+00:00","dateModified":"2024-05-18T10:07:10+00:00","breadcrumb":{"@id":"http:\/\/gpuhut.com\/?page_id=2146#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["http:\/\/gpuhut.com\/?page_id=2146"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"http:\/\/gpuhut.com\/?page_id=2146#primaryimage","url":"https:\/\/images.cloudclusters.io\/4cb1e78fb62a46c3a171cc5182634cec\/mxnet-instruction.png","contentUrl":"https:\/\/images.cloudclusters.io\/4cb1e78fb62a46c3a171cc5182634cec\/mxnet-instruction.png"},{"@type":"BreadcrumbList","@id":"http:\/\/gpuhut.com\/?page_id=2146#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"http:\/\/gpuhut.com\/"},{"@type":"ListItem","position":2,"name":"MxNet"}]},{"@type":"WebSite","@id":"http:\/\/gpuhut.com\/#website","url":"http:\/\/gpuhut.com\/","name":"GpuHut","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"http:\/\/gpuhut.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"}]}},"_links":{"self":[{"href":"http:\/\/gpuhut.com\/index.php?rest_route=\/wp\/v2\/pages\/2146","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/gpuhut.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/gpuhut.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/gpuhut.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/gpuhut.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2146"}],"version-history":[{"count":7,"href":"http:\/\/gpuhut.com\/index.php?rest_route=\/wp\/v2\/pages\/2146\/revisions"}],"predecessor-version":[{"id":3080,"href":"http:\/\/gpuhut.com\/index.php?rest_route=\/wp\/v2\/pages\/2146\/revisions\/3080"}],"wp:attachment":[{"href":"http:\/\/gpuhut.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2146"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}