{"id":2142,"date":"2024-05-04T19:37:38","date_gmt":"2024-05-04T19:37:38","guid":{"rendered":"http:\/\/gpuhut.com\/?page_id=2142"},"modified":"2024-05-13T11:23:41","modified_gmt":"2024-05-13T11:23:41","slug":"keras","status":"publish","type":"page","link":"http:\/\/gpuhut.com\/?page_id=2142","title":{"rendered":"Keras"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"2142\" class=\"elementor elementor-2142\">\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 Keras 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>Keras is the high-level API of TensorFlow 2: an approachable, highly-productive interface for solving machine learning problems, with a focus on modern deep learning. We provide bare metal servers with GPU that are specifically designed for deep learning with Keras.<\/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-5831827 e-flex e-con-boxed e-con e-parent\" data-id=\"5831827\" 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-29e4f40 e-flex e-con-boxed e-con e-child\" data-id=\"29e4f40\" 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-9a8f0bd elementor-widget elementor-widget-heading\" data-id=\"9a8f0bd\" 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\">Keras With CUDA Install - Quick And Easy<\/h2>\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-9dd1aae e-flex e-con-boxed e-con e-parent\" data-id=\"9dd1aae\" 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-92a9a24 elementor-widget elementor-widget-text-editor\" data-id=\"92a9a24\" 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<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\"><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. Choose a plan and 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 (64-bit), Windows 10 or higher (64-bit) + WSL2<\/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 3.7 &#8211; 3.10 recommended<\/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-e7fca1f e-flex e-con-boxed e-con e-parent\" data-id=\"e7fca1f\" 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-6c744ed elementor-widget elementor-widget-text-editor\" data-id=\"6c744ed\" 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<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 <a class=\"d-color-primary\" title=\"how to install tensorflow 2 with pip\" href=\"https:\/\/www.tensorflow.org\/install\" target=\"_blank\" rel=\"noopener\">TensorFlow&#8217;s site<\/a> , read the pip install 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. Install Miniconda or Anaconda<\/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. Create a Conda Environment<\/div><div class=\"col\"><pre class=\"d-fs-normal d-lineheight-26 mb-0\">Sample:\nconda create --name tf python=3.9<\/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. Install TensorFlow with pip<\/div><div class=\"col\"><pre class=\"d-fs-normal d-lineheight-26 mb-0\">Sample:\npip install --upgrade pip\npip install tensorflow<\/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\">4. Verify the Installation<\/div><div class=\"col\"><pre class=\"d-fs-normal d-lineheight-26 mb-0\"># If a list of GPU devices is returned, you've installed TensorFlow successfully.\nimport tensorflow as tf;\nprint(tf.config.list_physical_devices('GPU'))\nfrom tensorflow import keras<\/pre><\/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-98fa69f e-flex e-con-boxed e-con e-parent\" data-id=\"98fa69f\" 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-37abe0e elementor-widget elementor-widget-text-editor\" data-id=\"37abe0e\" 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=\"col-sm-12 col-md-4\"><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner\"><h2 class=\"col col-md-12 d-h2 d-color-black  core-title\">6 Reasons to Choose our GPU Servers for Keras<\/h2><div class=\"col col-md-12 d-color-black  d-fs-normal d-fw-500\">DBM enables powerful GPU hosting features on raw bare metal hardware, served on-demand. No more inefficiency, noisy neighbors, or complex pricing calculators.<\/div><div class=\"col\"><div class=\"d-button-group d-flex justify-content-start\">\u00a0<\/div><\/div><\/div><\/div><div class=\"col-sm-12 col-md-8\"><div class=\"row justify-content-start align-items-stretch\"><div class=\"col-sm-12 col-lg-6 mb-4\"><div class=\"d-content-card d-box-shadow\"><div class=\"content-img pl-3 pt-3 mb-n2 d-text-left\"><img decoding=\"async\" class=\"d-img d-lazy-img\" src=\"https:\/\/images.cloudclusters.io\/761d63a0e8ba4b2480cd47acf267d667\/Compatible.png\" alt=\"Intel Xeon CPU\" \/><\/div><div class=\"content-body\"><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner\"><p class=\"col col-md-12  d-color-black d-fs-18 d-fw-500 core-title\">Intel Xeon CPU<\/p><div class=\"col col-md-12 d-color-black  d-fs-normal d-fw-500 undefined\">Intel 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 Keras.<\/div><div class=\"col\"><div class=\"d-button-group d-flex justify-content-between\">\u00a0<\/div><\/div><\/div><\/div><\/div><\/div><div class=\"col-sm-12 col-lg-6 mb-4\"><div class=\"d-content-card d-box-shadow\"><div class=\"content-img pl-3 pt-3 mb-n2 d-text-left\"><img decoding=\"async\" class=\"d-img d-lazy-img\" src=\"https:\/\/images.cloudclusters.io\/5582a87a6c12416ab70982f9b42d1441\/Control-Panel 2.png\" alt=\"SSD-Based Drives\" \/><\/div><div class=\"content-body\"><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner\"><p class=\"col col-md-12  d-color-black d-fs-18 d-fw-500 core-title\">SSD-Based Drives<\/p><div class=\"col col-md-12 d-color-black  d-fs-normal d-fw-500 undefined\">You can never go wrong with our own top-notch dedicated GPU servers for Keras, loaded with the latest Intel Xeon processors, terabytes of SSD disk space, and 128 GB of RAM per server.<\/div><div class=\"col\"><div class=\"d-button-group d-flex justify-content-between\">\u00a0<\/div><\/div><\/div><\/div><\/div><\/div><div class=\"col-sm-12 col-lg-6 mb-4\"><div class=\"d-content-card d-box-shadow\"><div class=\"content-img pl-3 pt-3 mb-n2 d-text-left\"><img decoding=\"async\" class=\"d-img d-lazy-img\" src=\"https:\/\/images.cloudclusters.io\/80d02e33430c4b36b6f14b2ec2bea99e\/Control-Panel 3.png\" alt=\"Full Root\/Admin Access\" \/><\/div><div class=\"content-body\"><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner\"><p class=\"col col-md-12  d-color-black d-fs-18 d-fw-500 core-title\">Full Root\/Admin Access<\/p><div class=\"col col-md-12 d-color-black  d-fs-normal d-fw-500 undefined\">With full root\/admin access, you will be able to take full control of your dedicated GPU servers for Keras very easily and quickly.<\/div><div class=\"col\"><div class=\"d-button-group d-flex justify-content-between\">\u00a0<\/div><\/div><\/div><\/div><\/div><\/div><div class=\"col-sm-12 col-lg-6 mb-4\"><div class=\"d-content-card d-box-shadow\"><div class=\"content-img pl-3 pt-3 mb-n2 d-text-left\"><img decoding=\"async\" class=\"d-img d-lazy-img\" src=\"https:\/\/images.cloudclusters.io\/2a86341a8d6b40c99891dc2dab1b9b4e\/Control-Panel 10.png\" alt=\"99.9% Uptime Guarantee\" \/><\/div><div class=\"content-body\"><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner\"><p class=\"col col-md-12  d-color-black d-fs-18 d-fw-500 core-title\">99.9% Uptime Guarantee<\/p><div class=\"col col-md-12 d-color-black  d-fs-normal d-fw-500 undefined\">With enterprise-class data centers and infrastructure, we provide a 99.9% uptime guarantee for hosted GPUs for Keras and networks.<\/div><div class=\"col\"><div class=\"d-button-group d-flex justify-content-between\">\u00a0<\/div><\/div><\/div><\/div><\/div><\/div><div class=\"col-sm-12 col-lg-6 mb-4\"><div class=\"d-content-card d-box-shadow\"><div class=\"content-img pl-3 pt-3 mb-n2 d-text-left\"><img decoding=\"async\" class=\"d-img d-lazy-img\" src=\"https:\/\/images.cloudclusters.io\/303e21152a4c498b88f9fda8773051de\/Control-Panel 5.png\" alt=\"Dedicated IP\" \/><\/div><div class=\"content-body\"><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner\"><p class=\"col col-md-12  d-color-black d-fs-18 d-fw-500 core-title\">Dedicated IP<\/p><div class=\"col col-md-12 d-color-black  d-fs-normal d-fw-500 undefined\">One of the premium features is the dedicated IP address. Even the cheapest Keras GPU hosting plan is fully packed with dedicated IPv4 &amp; IPv6 Internet protocols.<\/div><div class=\"col\"><div class=\"d-button-group d-flex justify-content-between\">\u00a0<\/div><\/div><\/div><\/div><\/div><\/div><div class=\"col-sm-12 col-lg-6 mb-4\"><div class=\"d-content-card d-box-shadow\"><div class=\"content-img pl-3 pt-3 mb-n2 d-text-left\"><img decoding=\"async\" class=\"d-img d-lazy-img\" src=\"https:\/\/images.cloudclusters.io\/16ba97e67fa749dc8536482b2b8c8cfd\/Control-Panel 9.png\" alt=\"DDoS Protection\" \/><\/div><div class=\"content-body\"><div class=\"row row-cols-1  justify-content-start d-text-start d-title-inner\"><p class=\"col col-md-12  d-color-black d-fs-18 d-fw-500 core-title\">DDoS Protection<\/p><div class=\"col col-md-12 d-color-black  d-fs-normal d-fw-500 undefined\">Resources among different users are fully isolated to ensure your data security. DBM protects against DDoS from the edge fast while ensuring legitimate traffic of your hosted GPUs for Keras is not compromised.<\/div><\/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-ac83771 e-flex e-con-boxed e-con e-parent\" data-id=\"ac83771\" 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-40c55f0 elementor-widget elementor-widget-text-editor\" data-id=\"40c55f0\" 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\">Features Comparison: 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 project.<\/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\">Keras<\/th><th class=\"cell-align-center cell-valign-middle\">TensorFlow<\/th><th class=\"cell-align-center cell-valign-middle\">PyTorch<\/th><th class=\"cell-align-center cell-valign-middle\">MXNet<\/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<\/td><td class=\"cell-align-center cell-valign-middle\">High and low<\/td><td class=\"cell-align-center cell-valign-middle\">Low<\/td><td class=\"cell-align-center cell-valign-middle\">Hign and low<\/td><\/tr><tr><td class=\"cell-align-center cell-valign-middle\">Architecture<\/td><td class=\"cell-align-center cell-valign-middle\">Simple, concise, readable<\/td><td class=\"cell-align-center cell-valign-middle\">Not easy to use<\/td><td class=\"cell-align-center cell-valign-middle\">Complex, less readable<\/td><td class=\"cell-align-center cell-valign-middle\">Complex, less readable<\/td><\/tr><tr><td class=\"cell-align-center cell-valign-middle\">Datasets<\/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><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\">Simple network, so debugging is not often needed<\/td><td class=\"cell-align-center cell-valign-middle\">Difficult to conduct debugging<\/td><td class=\"cell-align-center cell-valign-middle\">Good debugging capabilities<\/td><td class=\"cell-align-center cell-valign-middle\">Hard to debug pure symbol codes<\/td><\/tr><tr><td class=\"cell-align-center cell-valign-middle\">Trained Models<\/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\">Most popular<\/td><td class=\"cell-align-center cell-valign-middle\">Second most popular<\/td><td class=\"cell-align-center cell-valign-middle\">Third most popular<\/td><td class=\"cell-align-center cell-valign-middle\">Fourth most popular<\/td><\/tr><tr><td class=\"cell-align-center cell-valign-middle\">Speed<\/td><td class=\"cell-align-center cell-valign-middle\">Slow, low performance<\/td><td class=\"cell-align-center cell-valign-middle\">Fastest on VGG-16, high 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 ResNet-50, high performance<\/td><\/tr><tr><td class=\"cell-align-center cell-valign-middle\">Written In<\/td><td class=\"cell-align-center cell-valign-middle\">Python<\/td><td class=\"cell-align-center cell-valign-middle\">C++, CUDA, 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++, Python<\/td><\/tr><\/tbody><\/table><\/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-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 Cloud 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 Keras.<\/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 Keras 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>Keras is a high-level, deep-learning API developed by Google for implementing neural networks. It is written in Python and is used to simplify the implementation of the neural network. It also supports multiple backend neural network computations. For these uses, you often need GPUs for Keras.<\/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\">Why do we need Keras?<\/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>Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load:<br \/>It offers consistent &amp; simple APIs.<br \/>It minimizes the number of user actions required for common use cases.<br \/>It provides clear and actionable feedback upon user error.<\/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 Keras better than PyTorch?<\/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>Keras is mostly used for small datasets due to its slow speed. While PyTorch is preferred for large datasets and high performance.<\/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\">When do I need GPUs for Keras?<\/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>If you&#8217;re training a real-life project or doing some academic or industrial research, then for sure you need a GPU for fast computation.<br \/>If you&#8217;re just learning Keras and want to play around with its different functionalities, then Keras without GPU is fine and your CPU in enough for that.<\/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\">What are the best GPUs for Keras deep learning?<\/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>Today, leading vendor NVIDIA offers the best GPUs for Keras 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 Keras in 2023.<br \/>Feel free to choose the best plan that has the right CPU, resources, and GPUs for Keras.<\/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 a Keras model on multiple GPUs?<\/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>We recommend doing so using the TensorFlow backend. There are two ways to run a single model on multiple GPUs: data parallelism and device parallelism. In most cases, what you need is most likely data parallelism.<\/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\">How can I run Keras on GPU?<\/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>If you are running on the TensorFlow or CNTK backends, your code will automatically run on GPU if any available GPU is detected.<br \/>If you are running on the Theano backend, you can use theano flags or manually set config at the beginning of your code.<\/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 Keras and Deep Learning Keras is the high-level API of TensorFlow 2: an approachable, highly-productive interface for solving machine learning problems, with a focus on modern deep learning. We provide bare metal servers with GPU that are specifically designed for deep learning with Keras. 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-2142","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>Keras - 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=2142\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Keras - GpuHut\" \/>\n<meta property=\"og:description\" content=\"Fastest And Best GPU SERVERS PROVIDER GPU Dedicated Server for Keras and Deep Learning Keras is the high-level API of TensorFlow 2: an approachable, highly-productive interface for solving machine learning problems, with a focus on modern deep learning. 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