{"id":2152,"date":"2024-05-04T19:47:06","date_gmt":"2024-05-04T19:47:06","guid":{"rendered":"http:\/\/gpuhut.com\/?page_id=2152"},"modified":"2024-05-18T10:42:31","modified_gmt":"2024-05-18T10:42:31","slug":"xgboost","status":"publish","type":"page","link":"http:\/\/gpuhut.com\/?page_id=2152","title":{"rendered":"XGboost"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"2152\" class=\"elementor elementor-2152\">\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 XGBoost Machine 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>Gradient boosting is a powerful machine learning algorithm used to achieve state-of-the-art accuracy on a variety of tasks, such as regression, classification, and ranking. We provide bare metal servers with GPUs that are specifically designed for XGBoost.<\/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<div class=\"has_eae_slider elementor-element elementor-element-70fdbc1 e-con-full e-flex e-con e-child\" data-id=\"70fdbc1\" data-element_type=\"container\">\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-d0b38ff e-flex e-con-boxed e-con e-parent\" data-id=\"d0b38ff\" 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-5b16f18 elementor-widget elementor-widget-text-editor\" data-id=\"5b16f18\" 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-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=\"col col-md-12  d-color-black d-fs-20 d-fw-600 d-lineheight-24 core-title\">Installation Prerequisites<\/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 GPU hosting plan\" href=\"https:\/\/www.gpu-mart.com\/gpu-xgboost#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\"><div class=\"col col-md-12  d-color-black d-fs-20 d-fw-600 d-lineheight-24 core-title\">Step-by-Step Installation Instructions<\/div><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=\"XGBoost docs site\" href=\"https:\/\/xgboost.readthedocs.io\/en\/stable\/install.html\" target=\"_blank\" rel=\"noopener\">XGBoost docs site<\/a>\u00a0, read the install guide.<br \/><br \/>Note: Please note that training with multiple GPUs is only supported for Linux platform.<\/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. Installation method 1 &#8211; Install XGBoost with pip<\/div><div class=\"col\"><pre class=\"d-fs-normal d-lineheight-26 mb-0\">Sample:\npip install --upgrade pip\npip install xgboost<\/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\">2. Installation method 2 &#8211; Use the Conda to Install XGBoost<\/div><div class=\"col col-md-12 d-color-black  d-fs-normal d-fw-500\">The py-xgboost-gpu is currently not available on Windows. If you are using Windows, please use pip to install XGBoost with GPU support.<\/div><div class=\"col\"><pre class=\"d-fs-normal d-lineheight-26 mb-0\">Sample:\n# Use NVIDIA GPU\nconda install -c conda-forge py-xgboost-gpu<\/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. Verify the Installation<\/div><div class=\"col col-md-12 d-color-black  d-fs-normal d-fw-500\">See examples here &#8211;\u00a0<a class=\"d-color-primary\" title=\"GPU Acceleration Demo\" href=\"https:\/\/github.com\/dmlc\/xgboost\/tree\/master\/demo\/gpu_acceleration\" target=\"_blank\" rel=\"noopener\">GPU Acceleration Demo<\/a><\/div><div class=\"col\"><pre class=\"d-fs-normal d-lineheight-26 mb-0\">Sample:\n# GPU-Accelerated SHAP values\nmodel.set_param({\"predictor\": \"gpu_predictor\"})\nshap_values = model.predict(dtrain, pred_contribs=True)\nshap_interaction_values = model.predict(dtrain, pred_interactions=True)<\/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=\"col col-md-12  d-color-black d-fs-20 d-fw-600 d-lineheight-24 core-title\">XGBoost Tutorials<\/div><div class=\"col\"><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner no-gutters\"><div class=\"col\"><p class=\"mb-0\"><a class=\"d-color-primary\" title=\"XGBoost Website\" href=\"https:\/\/xgboost.ai\/\" target=\"_blank\" rel=\"noopener\">XGBoost Website<\/a><\/p><\/div><\/div><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner no-gutters\"><div class=\"col\"><p class=\"mb-0\"><a class=\"d-color-primary\" title=\"XGBoost Docs &amp; Tutorials\" href=\"https:\/\/xgboost.readthedocs.io\/en\/stable\/\" target=\"_blank\" rel=\"noopener\">Docs &amp; Tutorials<\/a><\/p><\/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=\"col col-md-12  d-color-black d-fs-20 d-fw-600 d-lineheight-24 core-title\">Quickstart Videos<\/div><div class=\"col\"><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner no-gutters\"><div class=\"col\"><p class=\"mb-0\"><a class=\"d-color-primary\" title=\"XGBoost: How it works, with an example\" href=\"https:\/\/youtu.be\/OQKQHNCVf5k\" target=\"_blank\" rel=\"noopener\">XGBoost: How it works, with an example<\/a><\/p><\/div><\/div><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner no-gutters\"><div class=\"col\"><p class=\"mb-0\"><a class=\"d-color-primary\" title=\"XGBoost in Python from Start to Finish\" href=\"https:\/\/youtu.be\/GrJP9FLV3FE\" target=\"_blank\" rel=\"noopener\">XGBoost in Python from Start to Finish<\/a><\/p><\/div><\/div><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner no-gutters\"><div class=\"col\"><p class=\"mb-0\"><a class=\"d-color-primary\" title=\"Complete Beginners Guide to XGBoost Models\" href=\"https:\/\/youtu.be\/2KrPbnZEKsw\" target=\"_blank\" rel=\"noopener\">Complete Beginners Guide to XGBoost Models<\/a><\/p><\/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-34f4bb9 e-flex e-con-boxed e-con e-parent\" data-id=\"34f4bb9\" 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-7f6f355 e-flex e-con-boxed e-con e-child\" data-id=\"7f6f355\" 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-ced664d e-con-full e-flex e-con e-child\" data-id=\"ced664d\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d72184c elementor-widget elementor-widget-heading\" data-id=\"d72184c\" 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 XGBoost<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-481e7ca elementor-widget elementor-widget-text-editor\" data-id=\"481e7ca\" 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>GPUHUT enables powerful 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-298a1d6 e-con-full e-flex e-con e-child\" data-id=\"298a1d6\" data-element_type=\"container\">\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-93236be e-con-full e-flex e-con e-child\" data-id=\"93236be\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c137a8f elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"c137a8f\" 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-365fecc e-con-full e-flex e-con e-child\" data-id=\"365fecc\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cb5ae67 elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"cb5ae67\" 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-0671f7f e-con-full e-flex e-con e-child\" data-id=\"0671f7f\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6e60954 elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"6e60954\" 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-d14d4d7 e-con-full e-flex e-con e-child\" data-id=\"d14d4d7\" data-element_type=\"container\">\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-b250721 e-con-full e-flex e-con e-child\" data-id=\"b250721\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4356dc4 elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"4356dc4\" 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-e8f4983 e-con-full e-flex e-con e-child\" data-id=\"e8f4983\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d41df8f elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"d41df8f\" 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-9f66454 e-con-full e-flex e-con e-child\" data-id=\"9f66454\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1636cab elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"1636cab\" 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\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 XGBoost GPU Server<\/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>A list of frequently asked questions about GPU servers for XGBoost.<\/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 XGBoost is 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>XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solves many data science problems fast and accurately.<\/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\">What is the XGBoost algorithm?<\/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>XGBoost is a popular and efficient open-source implementation of the gradient boosted trees algorithm. Gradient boosting is a supervised learning algorithm, which attempts to accurately predict a target variable by combining the estimates of a set of simpler and weaker models.<\/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\">Is XGBoost a classification or regression?<\/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>XGBoost (eXtreme Gradient Boosting) is a popular supervised-learning algorithm used for regression and classification on large datasets.<\/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\">Is XGBoost better than Random Forest?<\/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>Since the gradient of the data is considered for each tree, XGBoost is faster, and the precision is more accurate than Random Forest. This makes developers to depend on XGBoost than Random Forest. XGBoost is more complex than any other decision tree algorithm.<\/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 XGBoost better than SVM?<\/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>SVM and XGBoost models are developed for modeling global solar radiation. The two algorithms show comparable prediction accuracy. However, XGBoost models are more stable and efficient than SVM algorithms.<\/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\">How can I run XGBoost on GPU?<\/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\"><p>XGBoost uses NVIDIA&#8217;s CUDA parallel computing platform. You need to install the CUDA toolkit and XGBoost with CUDA support, then enable training of an XGBoost model using the GPU is straightforward\u2014set the hyperparameter tree_method to &#8220;gpu_hist.&#8221;<\/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-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\">When to Use XGBoost GPU Servers?<\/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>1. Classification problems, especially those related to real-world business problems.<br \/>2. Problems in which the range or distribution of target values present in the training set can be expected to be similar to that of real-world testing data.<br \/>3. Situations in which there are many categorical variables.<br \/>4. Large number of observations in training data.<br \/>5. Number of features is smaller than the number of observations in training data.<\/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 XGBoost Machine Learning Gradient boosting is a powerful machine learning algorithm used to achieve state-of-the-art accuracy on a variety of tasks, such as regression, classification, and ranking. We provide bare metal servers with GPUs that are specifically designed for XGBoost. explore gpu hosting now 1 K GPU Servers Delivered 0 K Active Graphics Cards 1 Years GPU Hosting Expertise 24\/7 GPU Expert Online Support Installation [&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-2152","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>XGboost - 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=2152\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"XGboost - GpuHut\" \/>\n<meta property=\"og:description\" content=\"Fastest And Best GPU SERVERS PROVIDER GPU Dedicated Server for XGBoost Machine Learning Gradient boosting is a powerful machine learning algorithm used to achieve state-of-the-art accuracy on a variety of tasks, such as regression, classification, and ranking. We provide bare metal servers with GPUs that are specifically designed for XGBoost. explore gpu hosting now 1 K GPU Servers Delivered 0 K Active Graphics Cards 1 Years GPU Hosting Expertise 24\/7 GPU Expert Online Support Installation [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"http:\/\/gpuhut.com\/?page_id=2152\" \/>\n<meta property=\"og:site_name\" content=\"GpuHut\" \/>\n<meta property=\"article:modified_time\" content=\"2024-05-18T10:42:31+00:00\" \/>\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=2152\",\"url\":\"http:\/\/gpuhut.com\/?page_id=2152\",\"name\":\"XGboost - GpuHut\",\"isPartOf\":{\"@id\":\"http:\/\/gpuhut.com\/#website\"},\"datePublished\":\"2024-05-04T19:47:06+00:00\",\"dateModified\":\"2024-05-18T10:42:31+00:00\",\"breadcrumb\":{\"@id\":\"http:\/\/gpuhut.com\/?page_id=2152#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"http:\/\/gpuhut.com\/?page_id=2152\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"http:\/\/gpuhut.com\/?page_id=2152#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"http:\/\/gpuhut.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"XGboost\"}]},{\"@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":"XGboost - 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=2152","og_locale":"en_US","og_type":"article","og_title":"XGboost - GpuHut","og_description":"Fastest And Best GPU SERVERS PROVIDER GPU Dedicated Server for XGBoost Machine Learning Gradient boosting is a powerful machine learning algorithm used to achieve state-of-the-art accuracy on a variety of tasks, such as regression, classification, and ranking. We provide bare metal servers with GPUs that are specifically designed for XGBoost. explore gpu hosting now 1 K GPU Servers Delivered 0 K Active Graphics Cards 1 Years GPU Hosting Expertise 24\/7 GPU Expert Online Support Installation [&hellip;]","og_url":"http:\/\/gpuhut.com\/?page_id=2152","og_site_name":"GpuHut","article_modified_time":"2024-05-18T10:42:31+00:00","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=2152","url":"http:\/\/gpuhut.com\/?page_id=2152","name":"XGboost - GpuHut","isPartOf":{"@id":"http:\/\/gpuhut.com\/#website"},"datePublished":"2024-05-04T19:47:06+00:00","dateModified":"2024-05-18T10:42:31+00:00","breadcrumb":{"@id":"http:\/\/gpuhut.com\/?page_id=2152#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["http:\/\/gpuhut.com\/?page_id=2152"]}]},{"@type":"BreadcrumbList","@id":"http:\/\/gpuhut.com\/?page_id=2152#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"http:\/\/gpuhut.com\/"},{"@type":"ListItem","position":2,"name":"XGboost"}]},{"@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\/2152","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=2152"}],"version-history":[{"count":13,"href":"http:\/\/gpuhut.com\/index.php?rest_route=\/wp\/v2\/pages\/2152\/revisions"}],"predecessor-version":[{"id":3103,"href":"http:\/\/gpuhut.com\/index.php?rest_route=\/wp\/v2\/pages\/2152\/revisions\/3103"}],"wp:attachment":[{"href":"http:\/\/gpuhut.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2152"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}