{"id":9606,"date":"2025-07-10T06:08:14","date_gmt":"2025-07-10T06:08:14","guid":{"rendered":"https:\/\/www.gpu4host.com\/knowledge-base\/?p=9606"},"modified":"2025-07-10T06:08:16","modified_gmt":"2025-07-10T06:08:16","slug":"gcp-kubernetes","status":"publish","type":"post","link":"https:\/\/www.gpu4host.com\/knowledge-base\/gcp-kubernetes\/","title":{"rendered":"GCP Kubernetes"},"content":{"rendered":"<div class='epvc-post-count'><span class='epvc-eye'><\/span>  <span class=\"epvc-count\"> 770<\/span><span class='epvc-label'> Views<\/span><\/div>\n<h2 class=\"wp-block-heading\"><strong>Build a Hybrid Cloud with GCP Kubernetes and GPU Cluster<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Setting up a GCP Kubernetes (also known as Google Cloud Platform Kubernetes) master node while adding on-premise GPU servers is one of the most robust solutions for all businesses and developers opting to improve their hybrid cloud infrastructure. This whole setup is mainly valuable for a variety of tasks, like an AI image generator, machine learning modelling, and data-intensive computations that need the power of AI GPUs such as the NVIDIA A100.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In this knowledge base, we&#8217;ll take you through how to easily deploy a Kubernetes master node in the case of Google Cloud and connect it to your local GPU dedicated server infrastructure. This method guarantees the orchestration and scalability advantages of Kubernetes while using your previous GPU server for blazing-fast performance and budget-friendliness.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why Set Up GCP Kubernetes with On-Premise GPU Servers?<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Before we deeply dive into all the steps, let\u2019s know about the advantages of combining GCP Kubernetes with your on-premise GPU server:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Affordable:<\/strong> Run the GCP control plane while utilizing a previous GPU dedicated server for advanced processing.<\/li>\n\n\n\n<li><strong>Scalability:<\/strong> Utilize Kubernetes orchestration to handle different tasks across both cloud and local assets.<\/li>\n\n\n\n<li><strong>Robust Processing:<\/strong> Perfect for AI GPU-powered applications such as an AI image generator, machine learning, and rendering workloads.<\/li>\n\n\n\n<li><strong>Vendor Scalability:<\/strong> Prevent full vendor lock-in with a hybrid setup.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Pre-Requisites<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">To simply set up a GCP-based Kubernetes master along with on-premise GPU hosting, make sure that you have all the following:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A dedicated Google Cloud Platform account.<\/li>\n\n\n\n<li>Billing and IAM permissions specifically for Kubernetes Engine.<\/li>\n\n\n\n<li>An on-premise GPU cluster or GPU server (for example, with NVIDIA V100 or some other AI-based GPUs).<\/li>\n\n\n\n<li>Kubectl is properly installed.<\/li>\n\n\n\n<li>General knowledge of Docker and Kubernetes.<\/li>\n\n\n\n<li>VPN or any other protected network tunnel between your on-premise and GCP.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Step 1: Set Up the GCP Kubernetes Cluster<\/strong><\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Create a Kubernetes Cluster in GCP<\/strong>\n<ul class=\"wp-block-list\">\n<li>Firstly, go to the Google Cloud Console.<\/li>\n\n\n\n<li>After that, go to Kubernetes Engine > Clusters > Create Cluster.<\/li>\n\n\n\n<li>Select Standard Cluster.<\/li>\n\n\n\n<li>Set up cluster name, region, and machine type (control plane only).<\/li>\n\n\n\n<li>Disable auto-scaling (since your compute will run on-premises).<\/li>\n\n\n\n<li>Click Create.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Set Up Networking<\/strong>\n<ul class=\"wp-block-list\">\n<li>Set up the right firewall guidelines to allow inbound\/outbound links to your on-premises GPU server.<\/li>\n\n\n\n<li>You may also set up VPC peering or Cloud VPN to safely connect GCP to your chosen data center.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Step 2: Install &amp; Configure Kubectl<\/strong><\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Download &amp; also install kubectl:<\/li>\n<\/ol>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-915a038b4e2dab0700596d0f10c8bb68 wp-block-paragraph\" style=\"color:#007c02\">gcloud components install kubectl<\/p>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\">\n<li>Verify with your GCP task:<\/li>\n<\/ol>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-d290a3b7009a359481f2b2af9e7a146c wp-block-paragraph\" style=\"color:#007c02\">gcloud container clusters get-credentials [CLUSTER_NAME] &#8211;zone [ZONE] &#8211;project [PROJECT_ID]<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You should now be linked to your GCP-powered Kubernetes master node.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Step 3: Prepare Your On-Premise GPU Servers<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"768\" height=\"288\" src=\"https:\/\/www.gpu4host.com\/knowledge-base\/wp-content\/uploads\/2025\/07\/Step-3-Prepare-Your-On-Premise-GPU-Servers-1.webp\" alt=\"GCP Kubernetes\" class=\"wp-image-9609\" srcset=\"https:\/\/www.gpu4host.com\/knowledge-base\/wp-content\/uploads\/2025\/07\/Step-3-Prepare-Your-On-Premise-GPU-Servers-1.webp 768w, https:\/\/www.gpu4host.com\/knowledge-base\/wp-content\/uploads\/2025\/07\/Step-3-Prepare-Your-On-Premise-GPU-Servers-1-300x113.webp 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><\/figure>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Install Docker &amp; Kubelet\u00a0<\/strong><\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">On your chosen on-premise GPU server:<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-b45e28af797bc77836cf14d183f375dc wp-block-paragraph\" style=\"color:#007c02\">sudo apt update &amp;&amp; sudo apt install docker.io<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-6a70dd7d9de620bceb2b675e617aaaf5 wp-block-paragraph\" style=\"color:#007c02\">sudo systemctl enable docker &amp;&amp; sudo systemctl start docker<\/p>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\">\n<li><strong>Install Kubernetes Components<\/strong><\/li>\n<\/ol>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-36db37c94360de5d36877258880b98de wp-block-paragraph\" style=\"color:#007c02\">sudo apt install kubelet kubeadm kubectl<\/p>\n\n\n\n<ol start=\"3\" class=\"wp-block-list\">\n<li><strong>Install NVIDIA GPU Drivers and Toolkit<\/strong><\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">Make sure that your GPU server easily supports NVIDIA GPUs such as the NVIDIA A100:<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-e198982a5f1d4228cfc8cc71c6410b12 wp-block-paragraph\" style=\"color:#007c02\">sudo apt install nvidia-driver-470 nvidia-container-toolkit<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-b3c9efa83176d50602604dde625a9616 wp-block-paragraph\" style=\"color:#007c02\">sudo systemctl restart docker<\/p>\n\n\n\n<ol start=\"4\" class=\"wp-block-list\">\n<li><strong>Join On-Premise Node to GCP Kubernetes Master<\/strong><\/li>\n<\/ol>\n\n\n\n<p class=\"has-black-color has-text-color has-link-color wp-elements-905a88ca4245262b9e42fb0451035195 wp-block-paragraph\">Simply, from your GCP Kubernetes master:<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-374e04b5f2e5e8562b1c40c7869e289e wp-block-paragraph\" style=\"color:#007c02\">kubeadm token create &#8211;print-join-command<\/p>\n\n\n\n<p class=\"has-black-color has-text-color has-link-color wp-elements-4aef40035dc41be9f7c914ebf4eee0a1 wp-block-paragraph\">Copy all the join commands and then effortlessly run them on your on-premise node:<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-3d8a8efb9e91d9d318834baa3dbff3a0 wp-block-paragraph\" style=\"color:#007c02\">sudo kubeadm join [MASTER_IP]:6443 &#8211;token [TOKEN] &#8211;discovery-token-ca-cert-hash sha256:[HASH]<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This safely connects your GPU dedicated server with the Kubernetes master.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Step 4: Configure Node Labels &amp; Taints<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">To successfully schedule AI GPU tasks:<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-f6101d670384ac56361e497cfc658457 wp-block-paragraph\" style=\"color:#007c02\">kubectl label node [NODE_NAME] gpu=true<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-f168dbd5d4a4d948d685434fa20e71e6 wp-block-paragraph\" style=\"color:#007c02\">kubectl taint nodes [NODE_NAME] gpu=true:NoSchedule<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This guarantees that GPU tasks (such as an <a href=\"https:\/\/www.gpu4host.com\/ai-image-generator\">AI image generator<\/a>) run only on some capable nodes.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Step 5: Deploy GPU Tasks<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Now deploy GPU-powered pods:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>NVIDIA Device Plugin DaemonSet<\/li>\n<\/ol>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-d9a6185c4f5fb234094068c4ab08d9ba wp-block-paragraph\" style=\"color:#007c02\">kubectl apply -f https:\/\/raw.githubusercontent.com\/NVIDIA\/k8s-device-plugin\/v0.13.0\/nvidia-device-plugin.yml<\/p>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\">\n<li>For Instance, Deployment<\/li>\n<\/ol>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-cfaf58e93868c89eb062e998533b8353 wp-block-paragraph\" style=\"color:#007c02\">apiVersion: apps\/v1<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-15d33ed19c99088b257fe887ee5321f3 wp-block-paragraph\" style=\"color:#007c02\">kind: Deployment<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-ef518ccae0ca72b8a2c47c0883014bbc wp-block-paragraph\" style=\"color:#007c02\">metadata:<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-27e2c44c1d7d9a8eaecf65b6b65da485 wp-block-paragraph\" style=\"color:#007c02\">&nbsp;&nbsp;name: ai-image-generator<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-a63e1b2281de8b85e1bc882c4b4d0586 wp-block-paragraph\" style=\"color:#007c02\">spec:<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-7aacec9d68dcc5c091938a0b33e5a9aa wp-block-paragraph\" style=\"color:#007c02\">&nbsp;&nbsp;replicas: 1<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-088a6882371222d7892d508faf55e8b2 wp-block-paragraph\" style=\"color:#007c02\">&nbsp;&nbsp;selector:<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-9a87942c6c5d02cd22751aedb00ea744 wp-block-paragraph\" style=\"color:#007c02\">&nbsp;&nbsp;&nbsp;&nbsp;matchLabels:<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-36246214d8f4d54f1d01bab9cf3fc45b wp-block-paragraph\" style=\"color:#007c02\">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;app: generator<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-a6a7a8af7ffa30a1cdb66decd806e7d8 wp-block-paragraph\" style=\"color:#007c02\">&nbsp;&nbsp;template:<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-7ac92309a7418ec5700b264e15ff7d87 wp-block-paragraph\" style=\"color:#007c02\">&nbsp;&nbsp;&nbsp;&nbsp;metadata:<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-adf03e55eeb8783b9a53da6b341416ee wp-block-paragraph\" style=\"color:#007c02\">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;labels:<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-d1ca7b68d042c3ed0c49060b3e908298 wp-block-paragraph\" style=\"color:#007c02\">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;app: generator<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-230fe4c854c556d290a700d9e29ef72f wp-block-paragraph\" style=\"color:#007c02\">&nbsp;&nbsp;&nbsp;&nbsp;spec:<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-461021617d2e9a7f2bdb094be853550b wp-block-paragraph\" style=\"color:#007c02\">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;containers:<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-ba55bba30cc2e4c05c7d48d6493d613f wp-block-paragraph\" style=\"color:#007c02\">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&#8211; name: generator<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-005e69e837f3f6cc9077c233922905ff wp-block-paragraph\" style=\"color:#007c02\">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;image: your-repo\/ai-image-generator:latest<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-24c9d734ad6f81d83c05bead26d5a6fe wp-block-paragraph\" style=\"color:#007c02\">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;resources:<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-56bc31f57e1003c52da54eccb3fb7764 wp-block-paragraph\" style=\"color:#007c02\">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;limits:<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-6e303cb765b75678d8d8c1ac1209488a wp-block-paragraph\" style=\"color:#007c02\">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;nvidia.com\/gpu: 1<\/p>\n\n\n\n<p class=\"has-black-color has-text-color has-link-color wp-elements-6ac7aa8b5b6d2c33d6bbb6e3d36be97d wp-block-paragraph\">Deploy with:<\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-d93725e85dadd52ca89a9f6c09818df9 wp-block-paragraph\" style=\"color:#007c02\">kubectl apply -f deployment.yaml<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Step 6: Check &amp; Scale<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Utilize Kubernetes tools to check tasks and GPU utilization:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-text-color has-link-color wp-elements-88f96b84a5dfdfb2ff4d08aa2c4c7106\" style=\"color:#007c02\">kubectl top nodes<\/li>\n\n\n\n<li class=\"has-text-color has-link-color wp-elements-450e97f2deb4507ea2279fe3764a446c\" style=\"color:#007c02\">kubectl describe node [NODE_NAME]<\/li>\n\n\n\n<li>Add Prometheus and Grafana for different visual metrics.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">You can also scale tasks across many <a href=\"https:\/\/www.gpu4host.com\/\">GPU servers<\/a>, forming a <a href=\"https:\/\/www.gpu4host.com\/gpu-cluster\">GPU cluster<\/a> powered by the GCP Kubernetes master.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Real-World Use Cases of Hybrid GCP Kubernetes with GPU Hosting<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>AI Image Generators:<\/strong> Productive graphics rendering with GPU acceleration.<\/li>\n\n\n\n<li><strong>Machine Learning:<\/strong> Run advanced training on-premise along with a GPU dedicated server and inference in the cloud.<\/li>\n\n\n\n<li><strong>Complex Simulations:<\/strong> Use the potential of NVIDIA A100 and Kubernetes orchestration.<\/li>\n\n\n\n<li><strong>Gaming and 3D Graphics Rendering:<\/strong> Cutting-edge GPU hosting with orchestration proficiencies.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Reasons to Choose GPU4HOST for Your GPU Infrastructure<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"768\" height=\"288\" src=\"https:\/\/www.gpu4host.com\/knowledge-base\/wp-content\/uploads\/2025\/07\/Reasons-to-Choose-GPU4HOST-for-Your-GPU-1.webp\" alt=\"GCP Kubernetes\" class=\"wp-image-9608\" srcset=\"https:\/\/www.gpu4host.com\/knowledge-base\/wp-content\/uploads\/2025\/07\/Reasons-to-Choose-GPU4HOST-for-Your-GPU-1.webp 768w, https:\/\/www.gpu4host.com\/knowledge-base\/wp-content\/uploads\/2025\/07\/Reasons-to-Choose-GPU4HOST-for-Your-GPU-1-300x113.webp 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">GPU4HOST provides advanced GPU dedicated server enhanced for artificial intelligence and high-performance computing tasks. You can easily add all these servers with your GCP Kubernetes cluster to develop a flexible, productive hybrid architecture.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Key benefits of GPU4HOST:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Enterprise-level GPU server hosting with <a href=\"https:\/\/www.gpu4host.com\/nvidia-a100-rental\">NVIDIA V100<\/a> or more support.<\/li>\n\n\n\n<li>Low-latency connectivity for hybrid cloud cases.<\/li>\n\n\n\n<li>Personalize GPU dedicated server setups.<\/li>\n\n\n\n<li>Support for multi-GPU clusters.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Setting up a Google Cloud Platform Kubernetes master node with an on-premise GPU server is the most robust way to unite the flexibility of the cloud with the raw potential of GPU hosting. Even if you are running an AI image generator, machine learning models, or huge data computations, this hybrid tactic offers full scalability, performance, and affordability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For enhanced outcomes, consider using GPU4HOST&#8217;s high-performance <a href=\"https:\/\/www.infinitivehost.com\/gpu-dedicated-server\" target=\"_blank\" rel=\"noopener\">GPU dedicated server<\/a> in your chosen infrastructure. With the appropriate setup, your GCP Kubernetes environment can scale smoothly while having total control over GPU-heavy tasks.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>770 Views Build a Hybrid Cloud with GCP Kubernetes and GPU Cluster Setting up a GCP Kubernetes (also known as Google Cloud Platform Kubernetes) master node while adding on-premise GPU servers is one of the most robust solutions for all businesses and developers opting to improve their hybrid cloud infrastructure. This whole setup is mainly [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":9607,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-9606","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-web-hosting"],"_links":{"self":[{"href":"https:\/\/www.gpu4host.com\/knowledge-base\/wp-json\/wp\/v2\/posts\/9606","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.gpu4host.com\/knowledge-base\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.gpu4host.com\/knowledge-base\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.gpu4host.com\/knowledge-base\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.gpu4host.com\/knowledge-base\/wp-json\/wp\/v2\/comments?post=9606"}],"version-history":[{"count":1,"href":"https:\/\/www.gpu4host.com\/knowledge-base\/wp-json\/wp\/v2\/posts\/9606\/revisions"}],"predecessor-version":[{"id":9610,"href":"https:\/\/www.gpu4host.com\/knowledge-base\/wp-json\/wp\/v2\/posts\/9606\/revisions\/9610"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.gpu4host.com\/knowledge-base\/wp-json\/wp\/v2\/media\/9607"}],"wp:attachment":[{"href":"https:\/\/www.gpu4host.com\/knowledge-base\/wp-json\/wp\/v2\/media?parent=9606"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.gpu4host.com\/knowledge-base\/wp-json\/wp\/v2\/categories?post=9606"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.gpu4host.com\/knowledge-base\/wp-json\/wp\/v2\/tags?post=9606"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}