{"id":15657,"date":"2026-05-20T04:00:22","date_gmt":"2026-05-20T04:00:22","guid":{"rendered":"https:\/\/hostnoc-revamp.branex.org\/blog\/?p=15657"},"modified":"2026-05-20T10:10:21","modified_gmt":"2026-05-20T10:10:21","slug":"dedicated-server-for-ai","status":"publish","type":"post","link":"https:\/\/hostnoc-revamp.branex.org\/blog\/dedicated-server-for-ai\/","title":{"rendered":"Dedicated Server for AI: A Comprehensive Guide"},"content":{"rendered":"<h2>Key Takeaways<\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A dedicated server for AI delivers <\/span><b>maximum performance, control, and data security<\/b><span style=\"font-weight: 400;\"> compared to shared or cloud environments.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">It is ideal for <\/span><b>training large models, running inference at scale, and handling sensitive datasets<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Choosing the right hardware\u2014especially GPUs like NVIDIA A100 or NVIDIA H100\u2014is critical to success.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Dedicated AI servers reduce latency, improve throughput, and eliminate \u201cnoisy neighbor\u201d issues.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Organizations using AI at scale (e.g., OpenAI or Google) rely heavily on dedicated infrastructure for performance and reliability.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">As artificial intelligence workloads grow more complex, traditional hosting solutions\u2014like shared servers or basic cloud instances\u2014struggle to keep up. Training deep learning models, processing massive datasets, and deploying real-time AI applications demand immense computational power, low latency, and consistent performance. Many organizations face bottlenecks, unpredictable costs, and performance throttling.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Imagine training a neural network only to have it slowed down by shared resources or unexpected usage spikes from other tenants. Worse, sensitive data processed in AI pipelines may be exposed to compliance risks in multi-tenant environments. For industries like healthcare, finance, or defense, this is not just inconvenient\u2014it\u2019s unacceptable.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A <\/span><b>dedicated server for AI<\/b><span style=\"font-weight: 400;\"> solves these challenges by providing exclusive access to high-performance hardware tailored specifically for AI workloads. With full control over resources, optimized configurations, and enhanced security, dedicated AI servers are the backbone of serious machine learning and deep learning operations.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2>What is a Dedicated Server for AI?<\/h2>\n<p><span style=\"font-weight: 400;\">A <\/span><b>dedicated AI server<\/b><span style=\"font-weight: 400;\"> is a physical machine exclusively allocated to a single user or organization, optimized for artificial intelligence workloads such as training models, running inference, and processing large-scale data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Unlike shared hosting or virtual private servers, dedicated AI servers provide:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Exclusive hardware resources<\/b><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Custom GPU\/CPU configurations<\/b><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Enhanced data security<\/b><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Predictable performance<\/b><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">These servers often integrate cutting-edge components like GPUs from NVIDIA and AI frameworks such as TensorFlow or PyTorch.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><a href=\"https:\/\/hostnoc-revamp.branex.org\/blog\/dedicated-server-hosting\/\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-15724\" src=\"https:\/\/hostnoc-revamp.branex.org\/blog\/wp-content\/uploads\/2026\/06\/Dedicated-Server-Own-100-of-Your-Resources.webp\" alt=\"Dedicated Server \" width=\"1920\" height=\"500\" title=\"\" srcset=\"https:\/\/hostnoc-revamp.branex.org\/blog\/wp-content\/uploads\/2026\/06\/Dedicated-Server-Own-100-of-Your-Resources.webp 1920w, https:\/\/hostnoc-revamp.branex.org\/blog\/wp-content\/uploads\/2026\/06\/Dedicated-Server-Own-100-of-Your-Resources-768x200.webp 768w, https:\/\/hostnoc-revamp.branex.org\/blog\/wp-content\/uploads\/2026\/06\/Dedicated-Server-Own-100-of-Your-Resources-1536x400.webp 1536w, https:\/\/hostnoc-revamp.branex.org\/blog\/wp-content\/uploads\/2026\/06\/Dedicated-Server-Own-100-of-Your-Resources-260x68.webp 260w, https:\/\/hostnoc-revamp.branex.org\/blog\/wp-content\/uploads\/2026\/06\/Dedicated-Server-Own-100-of-Your-Resources-50x13.webp 50w, https:\/\/hostnoc-revamp.branex.org\/blog\/wp-content\/uploads\/2026\/06\/Dedicated-Server-Own-100-of-Your-Resources-150x39.webp 150w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><\/a><\/h2>\n<p>&nbsp;<\/p>\n<h2>Why Do AI Workloads Need Dedicated Servers?<\/h2>\n<h3>1. High Computational Demand<\/h3>\n<p><span style=\"font-weight: 400;\">AI models\u2014especially in domains like natural language processing and computer vision\u2014require massive parallel processing. GPUs like the <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/a100\/\" target=\"_blank\" rel=\"nofollow noopener\">NVIDIA A100<\/a> can accelerate training dramatically compared to CPUs alone.<\/span><\/p>\n<h3>2. Large Dataset Handling<\/h3>\n<p><span style=\"font-weight: 400;\">AI systems often process terabytes or petabytes of data. Dedicated servers ensure fast read\/write speeds with NVMe storage and optimized memory pipelines.<\/span><\/p>\n<h3>3. Consistent Performance<\/h3>\n<p><span style=\"font-weight: 400;\">Shared environments suffer from resource contention. Dedicated servers eliminate this issue, ensuring stable training times and reliable inference speeds.<\/span><\/p>\n<h3>4. Data Privacy &amp; Compliance<\/h3>\n<p><span style=\"font-weight: 400;\">Organizations handling sensitive data benefit from full control over their infrastructure, avoiding risks associated with multi-tenant cloud systems.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2>Dedicated Server for AI: Key Components<\/h2>\n<h3>GPU Acceleration<\/h3>\n<p><span style=\"font-weight: 400;\">GPUs are the heart of AI computation. Modern servers may include:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">NVIDIA H100 for cutting-edge AI workloads<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">NVIDIA RTX 4090 for cost-effective deep learning<\/span><\/li>\n<\/ul>\n<h3>CPU and Memory<\/h3>\n<p><span style=\"font-weight: 400;\">While GPUs handle parallel tasks, CPUs manage orchestration. High-core processors and large RAM pools ensure smooth data preprocessing and pipeline management.<\/span><\/p>\n<h3>Storage<\/h3>\n<p><span style=\"font-weight: 400;\">AI workloads require high-speed storage:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><a href=\"https:\/\/hostnoc-revamp.branex.org\/blog\/ssd-vs-nvme-dedicated-server\/\">NVMe SSDs<\/a> for fast access<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">RAID configurations for redundancy<\/span><\/li>\n<\/ul>\n<h3>Networking<\/h3>\n<p><span style=\"font-weight: 400;\">Low-latency networking is essential for distributed training, especially in multi-node setups.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2>Dedicated Server For AI vs Cloud for AI<\/h2>\n<h3>Dedicated Servers<\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Full hardware control<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">No resource sharing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Predictable costs over time<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ideal for long-term, intensive workloads<\/span><\/li>\n<\/ul>\n<h3>Cloud Solutions<\/h3>\n<p><span style=\"font-weight: 400;\">Providers like Amazon Web Services and Microsoft Azure offer flexibility and scalability, but:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Costs can escalate quickly<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Performance may vary<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Limited hardware customization<\/span><\/li>\n<\/ul>\n<p><b>Bottom line:<\/b><span style=\"font-weight: 400;\"> If you run continuous AI workloads, dedicated servers are often more cost-efficient and reliable.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2>Dedicated Server For AI: Use Cases<\/h2>\n<h3>1. Model Training<\/h3>\n<p><span style=\"font-weight: 400;\">Training large language models or deep neural networks requires sustained GPU power and stable environments.<\/span><\/p>\n<h3>2. Real-Time Inference<\/h3>\n<p><span style=\"font-weight: 400;\">Applications like recommendation engines, fraud detection, and autonomous systems need low-latency predictions.<\/span><\/p>\n<h3>3. Computer Vision<\/h3>\n<p><span style=\"font-weight: 400;\">Processing high-resolution images and videos benefits from GPU acceleration and fast storage.<\/span><\/p>\n<h3>4. Natural Language Processing<\/h3>\n<p><span style=\"font-weight: 400;\">Frameworks used by systems similar to OpenAI require powerful infrastructure for training and deployment.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2>Dedicated Server For AI: Key Benefits<\/h2>\n<h3>Performance Optimization<\/h3>\n<p><span style=\"font-weight: 400;\">Dedicated servers allow fine-tuning at every level\u2014from BIOS settings to GPU allocation.<\/span><\/p>\n<h3>Scalability<\/h3>\n<p><span style=\"font-weight: 400;\">Organizations can scale horizontally by adding more dedicated nodes.<\/span><\/p>\n<h3>Security<\/h3>\n<p><span style=\"font-weight: 400;\">Full control ensures compliance with regulations like GDPR or HIPAA.<\/span><\/p>\n<h3>Cost Efficiency (Long-Term)<\/h3>\n<p><span style=\"font-weight: 400;\">While initial costs are higher, dedicated servers eliminate recurring cloud expenses for heavy workloads.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2>Dedicated Server For AI: Challenges<\/h2>\n<h3>Upfront Cost<\/h3>\n<p><span style=\"font-weight: 400;\">Dedicated hardware requires significant initial investment.<\/span><\/p>\n<h3>Maintenance<\/h3>\n<p><span style=\"font-weight: 400;\">Unlike cloud services, you are responsible for hardware upkeep unless managed services are included.<\/span><\/p>\n<h3>Expertise Required<\/h3>\n<p><span style=\"font-weight: 400;\">Configuring AI infrastructure demands technical expertise in networking, storage, and machine learning frameworks.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2>How to Choose the Right Dedicated Server for AI?<\/h2>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Define Workload Type<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Training vs inference requires different configurations.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Select GPU Type<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">High-end GPUs like NVIDIA H100 for advanced workloads; mid-range GPUs for smaller projects.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Evaluate Storage Needs<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Choose <a href=\"https:\/\/hostnoc-revamp.branex.org\/blog\/nvme-dedicated-server\/\">NVMe<\/a> for speed and HDD for archival storage.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Consider Bandwidth<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">High-speed networking is essential for distributed AI.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Check Provider Reputation<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Providers with experience in AI infrastructure offer better reliability and support.<\/span><\/li>\n<\/ol>\n<h2><\/h2>\n<h2><a href=\"https:\/\/hostnoc-revamp.branex.org\/blog\/server-management\/\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-15726\" src=\"https:\/\/hostnoc-revamp.branex.org\/blog\/wp-content\/uploads\/2026\/06\/Server-management-CTA-2.webp\" alt=\"Server Management \" width=\"1920\" height=\"500\" title=\"\" srcset=\"https:\/\/hostnoc-revamp.branex.org\/blog\/wp-content\/uploads\/2026\/06\/Server-management-CTA-2.webp 1920w, https:\/\/hostnoc-revamp.branex.org\/blog\/wp-content\/uploads\/2026\/06\/Server-management-CTA-2-768x200.webp 768w, https:\/\/hostnoc-revamp.branex.org\/blog\/wp-content\/uploads\/2026\/06\/Server-management-CTA-2-1536x400.webp 1536w, https:\/\/hostnoc-revamp.branex.org\/blog\/wp-content\/uploads\/2026\/06\/Server-management-CTA-2-260x68.webp 260w, https:\/\/hostnoc-revamp.branex.org\/blog\/wp-content\/uploads\/2026\/06\/Server-management-CTA-2-50x13.webp 50w, https:\/\/hostnoc-revamp.branex.org\/blog\/wp-content\/uploads\/2026\/06\/Server-management-CTA-2-150x39.webp 150w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><\/a><\/h2>\n<p>&nbsp;<\/p>\n<h2>Future of Dedicated Server for AI<\/h2>\n<p><span style=\"font-weight: 400;\">The demand for AI infrastructure continues to grow, driven by advancements in deep learning, generative AI, and edge computing. Companies like NVIDIA are pushing hardware innovation, while organizations such as Google develop custom AI chips.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dedicated servers will remain critical for:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Large-scale AI training<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Enterprise-grade AI deployments<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Privacy-sensitive applications<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>Conclusion<\/h2>\n<p><span style=\"font-weight: 400;\">Dedicated servers for AI represent the gold standard for performance, control, and reliability in machine learning infrastructure. While they require higher upfront investment and expertise, the benefits far outweigh the drawbacks for organizations serious about AI innovation. Whether you&#8217;re training next-generation models or deploying real-time AI applications, dedicated infrastructure provides the foundation needed to succeed in an increasingly data-driven world.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3 style=\"text-align: center;\">Frequently Asked Questions About Dedicated Server for AI<\/h3>\n<p style=\"text-align: center;\">    <div class=\"mfn-acc faq-accordion parent\">\n        <div class=\"mfn-acc faq-accordion\">\n                            <div class=\"mfn-acc-item\">\n                    <div class=\"mfn-acc-header\">\n                        <img decoding=\"async\" class=\"faq-icon\" src=\"https:\/\/www.hostnoc.com\/wp-content\/uploads\/2024\/12\/close.png\" alt=\"icon\" title=\"\">\n                        <h5 class=\"mfn-acc-title\">\n                            What is the difference between a dedicated server and a GPU server?                        <\/h5>\n                    <\/div>\n                    <div class=\"mfn-acc-content\">\n                        <p><p><span style=\"font-weight: 400\">A dedicated server is a physical machine assigned to one user, while a GPU server specifically includes GPUs for accelerated computing. Most AI dedicated servers are <a href=\"https:\/\/hostnoc-revamp.branex.org\/blog\/dedicated-server-with-gpus\/\">GPU servers<\/a>.<\/span><\/p>\n<\/p>\n                    <\/div>\n                <\/div>\n                            <div class=\"mfn-acc-item\">\n                    <div class=\"mfn-acc-header\">\n                        <img decoding=\"async\" class=\"faq-icon\" src=\"https:\/\/www.hostnoc.com\/wp-content\/uploads\/2024\/12\/close.png\" alt=\"icon\" title=\"\">\n                        <h5 class=\"mfn-acc-title\">\n                            Are dedicated servers better than cloud for AI?                        <\/h5>\n                    <\/div>\n                    <div class=\"mfn-acc-content\">\n                        <p><p><span style=\"font-weight: 400\">For continuous, high-intensity workloads, yes. Dedicated servers offer better cost efficiency and consistent performance.<\/span><\/p>\n<\/p>\n                    <\/div>\n                <\/div>\n                            <div class=\"mfn-acc-item\">\n                    <div class=\"mfn-acc-header\">\n                        <img decoding=\"async\" class=\"faq-icon\" src=\"https:\/\/www.hostnoc.com\/wp-content\/uploads\/2024\/12\/close.png\" alt=\"icon\" title=\"\">\n                        <h5 class=\"mfn-acc-title\">\n                            How many GPUs do I need for AI?                        <\/h5>\n                    <\/div>\n                    <div class=\"mfn-acc-content\">\n                        <p><p><span style=\"font-weight: 400\">It depends on your workload. Small models may need one GPU, while large-scale training may require multiple GPUs, like NVIDIA A100 clusters.<\/span><\/p>\n<\/p>\n                    <\/div>\n                <\/div>\n                            <div class=\"mfn-acc-item\">\n                    <div class=\"mfn-acc-header\">\n                        <img decoding=\"async\" class=\"faq-icon\" src=\"https:\/\/www.hostnoc.com\/wp-content\/uploads\/2024\/12\/close.png\" alt=\"icon\" title=\"\">\n                        <h5 class=\"mfn-acc-title\">\n                            What software is used on dedicated AI servers?                        <\/h5>\n                    <\/div>\n                    <div class=\"mfn-acc-content\">\n                        <p><p><span style=\"font-weight: 400\">Common tools include TensorFlow, PyTorch, and container platforms like Docker.<\/span><\/p>\n<\/p>\n                    <\/div>\n                <\/div>\n                            <div class=\"mfn-acc-item\">\n                    <div class=\"mfn-acc-header\">\n                        <img decoding=\"async\" class=\"faq-icon\" src=\"https:\/\/www.hostnoc.com\/wp-content\/uploads\/2024\/12\/close.png\" alt=\"icon\" title=\"\">\n                        <h5 class=\"mfn-acc-title\">\n                            Can startups use dedicated AI servers?                        <\/h5>\n                    <\/div>\n                    <div class=\"mfn-acc-content\">\n                        <p><p><span style=\"font-weight: 400\">Yes, but many startups begin with cloud services and transition to dedicated servers as workloads scale.<\/span><\/p>\n<\/p>\n                    <\/div>\n                <\/div>\n                    <\/div>\n    <\/div>\n    <script>\n        document.addEventListener('DOMContentLoaded', function() {\n            const faqHeaders = document.querySelectorAll('.mfn-acc-header');\n            faqHeaders.forEach(header => {\n                header.addEventListener('click', function() {\n                    const content = this.nextElementSibling;\n                    const icon = this.querySelector('.faq-icon');\n                    \n                    if (content.style.display === 'block') {\n                        content.style.display = 'none';\n                        icon.src = 'https:\/\/www.hostnoc.com\/wp-content\/uploads\/2024\/12\/question-empty.png';\n                    } else {\n                        content.style.display = 'block';\n                        icon.src = 'https:\/\/www.hostnoc.com\/wp-content\/uploads\/2024\/12\/question-fill.png';\n                    }\n                });\n            });\n        });\n    <\/script>\n    <style>\n        .faq-accordion .mfn-acc-item {\n            margin-bottom: 15px;\n        }\n        .mfn-acc-header {\n            cursor: pointer;\n            padding: 15px;\n            display: flex;\n            align-items: center;\n        }\n        .faq-icon {\n            margin-right: 10px;\n            width: 20px;\n            height: 20px;\n            transition: transform 0.3s;\n        }\n        .mfn-acc-title {\n            margin: 0;\n            color: #000000;\n            font-size: 17px;\n            line-height: 20px;\n        }\n        .mfn-acc-content {\n            display: none;\n            padding: 15px;\n            padding-top: 0;\n            padding-left: 7%;\n        }\n        .mfn-acc.faq-accordion{\n            box-shadow: 1px 1px 50px rgb(0 0 0 \/ 10%);\n            background: #fff;\n            width: 100%;\n            padding: 30px 20px 10px;\n            border-radius: 10px;\n        }\n        .mfn-acc-item:not(:last-child) {\n            border-bottom: 1px solid #e6e9ee;\n        }\n        .mfn-acc.faq-accordion.parent{\n            border-radius: 70px;\n            padding: 0 0 10px;\n            background: #971A1D;\n        }\n    <\/style>\n    <\/p>\n<h3><\/h3>\n","protected":false},"excerpt":{"rendered":"<p>Key Takeaways A dedicated server for AI delivers maximum performance, control, and data security compared to shared or cloud environments. It is ideal for training large<span class=\"excerpt-hellip\"> [\u2026]<\/span><\/p>\n","protected":false},"author":3,"featured_media":15658,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[41],"tags":[],"class_list":["post-15657","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dedicated-server"],"acf":[],"_links":{"self":[{"href":"https:\/\/hostnoc-revamp.branex.org\/blog\/wp-json\/wp\/v2\/posts\/15657","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hostnoc-revamp.branex.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hostnoc-revamp.branex.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hostnoc-revamp.branex.org\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/hostnoc-revamp.branex.org\/blog\/wp-json\/wp\/v2\/comments?post=15657"}],"version-history":[{"count":4,"href":"https:\/\/hostnoc-revamp.branex.org\/blog\/wp-json\/wp\/v2\/posts\/15657\/revisions"}],"predecessor-version":[{"id":15853,"href":"https:\/\/hostnoc-revamp.branex.org\/blog\/wp-json\/wp\/v2\/posts\/15657\/revisions\/15853"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/hostnoc-revamp.branex.org\/blog\/wp-json\/wp\/v2\/media\/15658"}],"wp:attachment":[{"href":"https:\/\/hostnoc-revamp.branex.org\/blog\/wp-json\/wp\/v2\/media?parent=15657"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hostnoc-revamp.branex.org\/blog\/wp-json\/wp\/v2\/categories?post=15657"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hostnoc-revamp.branex.org\/blog\/wp-json\/wp\/v2\/tags?post=15657"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}