{"id":18577,"date":"2026-02-27T11:04:13","date_gmt":"2026-02-27T11:04:13","guid":{"rendered":"https:\/\/unichrone.com\/blog\/?p=18577"},"modified":"2026-03-03T04:41:22","modified_gmt":"2026-03-03T04:41:22","slug":"aws-deep-learning-vs-on-premise-training","status":"publish","type":"post","link":"https:\/\/unichrone.com\/blog\/cloud-computing\/aws-deep-learning-vs-on-premise-training\/","title":{"rendered":"AWS Deep Learning vs On-Premise Training"},"content":{"rendered":"\n<p>When working with Artificial Intelligence and deep learning, a strategic decision is often seen in today&#8217;s rapidly evolving tech landscape. Some important questions arise as a techy, if you are evolving yourself in today&#8217;s tech landscape. Should deep learning models be trained on cloud platforms like Amazon Web Services (AWS) or on traditional on-premise infrastructure?. In this article, we\u2019ll explore the key differences between <strong>AWS Deep Learning vs. on-premises<\/strong> training approaches, highlighting the pros and cons of each. This guide points you toward the right training courses you need to master cloud-based deep learning paradigms.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img decoding=\"async\" src=\"https:\/\/res.cloudinary.com\/dtkh0ta1d\/image\/upload\/v1772190009\/AWS_Deep_Learning_vs_On-Premise_Training_aaxnkd.webp\" alt=\"AWS Deep Learning vs On-Premise Training\" style=\"width:823px;height:auto\"\/><figcaption class=\"wp-element-caption\">AWS Deep Learning vs On-Premise Training<\/figcaption><\/figure>\n<\/div>\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Jump ahead to<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-69d72396dea47\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #495393;color:#495393\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #495393;color:#495393\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-69d72396dea47\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/unichrone.com\/blog\/cloud-computing\/aws-deep-learning-vs-on-premise-training\/#What_Is_Deep_Learning\" >What Is Deep Learning?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/unichrone.com\/blog\/cloud-computing\/aws-deep-learning-vs-on-premise-training\/#Course_Spotlight_Deep_Learning_on_AWS_Training\" >Course Spotlight: Deep Learning on AWS Training<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/unichrone.com\/blog\/cloud-computing\/aws-deep-learning-vs-on-premise-training\/#What_You_Learn\" >What You Learn<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/unichrone.com\/blog\/cloud-computing\/aws-deep-learning-vs-on-premise-training\/#What_Does_On-Premise_Training_Look_Like\" >What Does On-Premise Training Look Like?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/unichrone.com\/blog\/cloud-computing\/aws-deep-learning-vs-on-premise-training\/#AWS_Deep_Learning_vs_On-Premise_Training_Key_Differences\" >AWS Deep Learning vs On-Premise Training: Key Differences<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/unichrone.com\/blog\/cloud-computing\/aws-deep-learning-vs-on-premise-training\/#Scalability_and_Elasticity\" >Scalability and Elasticity<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/unichrone.com\/blog\/cloud-computing\/aws-deep-learning-vs-on-premise-training\/#Cost_Structure\" >Cost Structure<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/unichrone.com\/blog\/cloud-computing\/aws-deep-learning-vs-on-premise-training\/#Performance_and_Hardware_Access\" >Performance and Hardware Access<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/unichrone.com\/blog\/cloud-computing\/aws-deep-learning-vs-on-premise-training\/#Management_Security_and_Compliance\" >Management, Security, and Compliance<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/unichrone.com\/blog\/cloud-computing\/aws-deep-learning-vs-on-premise-training\/#Real-World_Use_Cases\" >Real-World Use Cases<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/unichrone.com\/blog\/cloud-computing\/aws-deep-learning-vs-on-premise-training\/#To_Train_on_Cloud_or_DIY\" >To Train on Cloud or DIY?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/unichrone.com\/blog\/cloud-computing\/aws-deep-learning-vs-on-premise-training\/#Summary\" >Summary&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/unichrone.com\/blog\/cloud-computing\/aws-deep-learning-vs-on-premise-training\/#Final_Thoughts\" >Final Thoughts<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/unichrone.com\/blog\/cloud-computing\/aws-deep-learning-vs-on-premise-training\/#FAQs\" >FAQs<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"What_Is_Deep_Learning\"><\/span>What Is Deep Learning?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><a href=\"https:\/\/unichrone.com\/au\/deep-learning-training\/\"><strong>Deep learning<\/strong><\/a> is a powerful subset of machine learning. This is actually employing advanced neural networks to effortlessly coordinate processing and pattern-based forecasting while analyzing vast amounts of data. These neural networks are configured to simulate human-like learning and self-optimizing feature extraction without extensive manual intervention.&nbsp;<\/p>\n\n\n\n<p>It necessitates marked computational power, interface with optimised libraries and frameworks, and an efficient data delivery track to train these models. This guides us to create a core debate: cloud versus on-premises training.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Course_Spotlight_Deep_Learning_on_AWS_Training\"><\/span>Course Spotlight: Deep Learning on AWS Training<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Let us compare both kinds of training and check which is most outcome-oriented. Before any juxtaposition, let\u2019s look at one of the most relevant training offerings for professionals keen to advance cloud-based deep learning skills:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"What_You_Learn\"><\/span>What You Learn<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>The <strong>Deep Learning on AWS Training<\/strong> spans the entire process spectrum for building, training, and deploying deep learning models on Amazon Web Services, including:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The full workflow from data collection and preprocessing to model training, retraining, tuning, and deployment.&nbsp;<\/li>\n\n\n\n<li>Highly optimized AWS technology components, covering compute, storage, software, and networking aspects for deep learning.<\/li>\n\n\n\n<li>Code, data, and model versioning using tools like Git and Amazon S3.&nbsp;<\/li>\n\n\n\n<li>Automation workflows with AWS Step Functions, Apache Airflow, and Kubeflow pipelines.&nbsp;<\/li>\n\n\n\n<li>Scalable training patterns with Amazon SageMaker and Kubernetes on <a href=\"https:\/\/unichrone.com\/blog\/cloud-computing\/how-to-start-my-career-in-aws\/\">AWS<\/a>.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>This kind of <a href=\"https:\/\/unichrone.com\/blog\/project-management\/professional-training-courses\/\">training<\/a> equips data scientists, machine learning engineers, and AI professionals with <strong>hands-on, cloud-native expertise<\/strong> that is rapidly becoming essential in industry today.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"What_Does_On-Premise_Training_Look_Like\"><\/span>What Does On-Premise Training Look Like?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Traditional on-premise training is typically centered on <strong>internal infrastructure<\/strong>, servers, and GPU clusters physically owned and operated within an organization. In academic or enterprise settings, this involves:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Buying and managing expensive hardware (GPUs, servers, cooling systems).<\/li>\n\n\n\n<li>Setting up networking and storage systems that support high-volume data processing.<\/li>\n\n\n\n<li>Handling system updates, security patches, and hardware lifecycle management.<\/li>\n<\/ul>\n\n\n\n<p>Deep learning on-premise often requires advanced knowledge of system administration and manual optimization of software stacks, from PyTorch\/TensorFlow environments to GPU drivers and custom schedulers.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"AWS_Deep_Learning_vs_On-Premise_Training_Key_Differences\"><\/span>AWS Deep Learning vs On-Premise Training: Key Differences<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Let\u2019s break down the major differences between cloud-based training with AWS and traditional on-premise setups across several critical dimensions.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Scalability_and_Elasticity\"><\/span>Scalability and Elasticity<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p><strong>AWS:<\/strong><strong><br><\/strong>AWS offers virtually unlimited scalability. You can provision thousands of CPU or GPU instances on demand, enabling you to train massive neural networks in hours instead of weeks, especially useful when experimenting with hyperparameter tuning or large datasets.<\/p>\n\n\n\n<p><strong>On-Premise:<\/strong><strong><br><\/strong>Scaling on-premise infra involves buying more hardware, which is a cost-heavy and slow-moving process. Putting off purchasing and setting up new servers may become a hindrance if the volume of work abruptly surges.&nbsp;<\/p>\n\n\n\n<p><strong>Winner:<\/strong> AWS Deep Learning for elastic scaling.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Cost_Structure\"><\/span>Cost Structure<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p><strong>AWS:<\/strong><strong><br><\/strong>Cloud providers operate a pay-as-you-go model, where you pay only for the compute and storage you consume. This eliminates large upfront investment in physical hardware but requires careful cost monitoring to avoid bill surprises.<\/p>\n\n\n\n<p><strong>On-Premise:<\/strong><strong><br><\/strong>Upfront costs for GPUs, servers, power, and cooling can be enormous. However, once the hardware is bought, the ongoing cost may be lower for predictable, steady workloads over many years.&nbsp;<\/p>\n\n\n\n<p><strong>Verdict:<\/strong> For startups and variable workloads, AWS is usually more cost-effective; for predictable, large-volume training, on-premise may be cheaper in the long run.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Performance_and_Hardware_Access\"><\/span>Performance and Hardware Access<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p><strong>AWS:<\/strong><strong><br><\/strong><a href=\"https:\/\/unichrone.com\/gr\/aws-cloud-practitioner-training\/\">Amazon Web Services<\/a> is preferred as one of the best as it provides access to the upgraded high-performing hardware without any requirement for capital investment. For large-scale training jobs and parallel processing, AWS instances can speed up the model training.&nbsp;<\/p>\n\n\n\n<p><strong>On-Premise:<\/strong><strong><br><\/strong>On-premises gives full control over hardware selection and configuration. But if you require cutting-edge performance, hardware can age and become obsolete.<strong>&nbsp;<\/strong><\/p>\n\n\n\n<p><strong>Conclusion:<\/strong> Cloud wins for cutting-edge performance access; on-premise wins for highly specialized, tuned hardware<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Management_Security_and_Compliance\"><\/span>Management, Security, and Compliance<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p><strong>AWS:<\/strong><strong><br><\/strong>The operational load on internal teams is lessened by AWS&#8217;s robust integrated security tools, compliance certifications, and <a href=\"https:\/\/unichrone.com\/blog\/cloud-computing\/different-types-of-amazon-aws-services-list\/\">AWS<\/a>-managed services. However, employing a third-party cloud service entails sharing accountability for access control and data protection procedures.<\/p>\n\n\n\n<p><strong>On-Premise:<\/strong><strong><br><\/strong>Corporations with stringent standards for compliance may be drawn to complete control over data and systems. However, internal security maintenance calls for specific knowledge and ongoing attention to detail.&nbsp;<\/p>\n\n\n\n<p><strong>Choose:<\/strong> When selecting between them, select on-premise when regulatory compliance is extremely strict; and choose cloud when you value robust managed security and compliance support.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Real-World_Use_Cases\"><\/span>Real-World Use Cases<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Here\u2019s how different scenarios influence the choice:<\/p>\n\n\n\n<p><strong>Startups &amp; SMEs:<\/strong> AWS Deep Learning is a go-to option due to lower upfront costs and easy access to cloud GPU clusters.<\/p>\n\n\n\n<p><strong>Large Enterprises:<\/strong> Often use hybrid strategies &#8211; on-premise for sensitive data and routine workloads, cloud for peak loads and experimentation.<\/p>\n\n\n\n<p><strong>Academics &amp; Researchers:<\/strong> <a href=\"https:\/\/unichrone.com\/us\/cloud-computing-training\/\">Cloud <\/a>platforms reduce infrastructure bottlenecks, letting researchers focus on model innovation instead of hardware hassles.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"To_Train_on_Cloud_or_DIY\"><\/span>To Train on Cloud or DIY?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>If you are a professional looking to upgrade your skills in cloud-based Deep Learning on AWS Training is critical. The learners are skilled to use important tools like <a href=\"https:\/\/aws.amazon.com\/sagemaker\/\"><strong>Amazon SageMaker<\/strong>, <\/a>Kubeflow pipelines, and intelligent process automation.&nbsp;<\/p>\n\n\n\n<p>In the meantime, shared perspective on-premise strategies remain vital for engineers working in heavily policy-driven industries or in companies with deep investments in internal infrastructure.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Summary\"><\/span>Summary&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>In the final analysis, AWS Deep Learning and on-premise training depend on scalability needs, cost strategy, compliance requirements, and long-term AI goals. AWS creates opportunities for elasticity, modern hardware access, and regulated services ideal for innovation and experimentation. On-premise suits organizations requiring high-level supervision and predictable workloads. All things considered, hybrid and cloud-centric implementations are, with rising frequency, shaping sustainable, future-ready AI infrastructure strategies.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Final_Thoughts\"><\/span>Final Thoughts<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>There is no universal solution when choosing between on-premise training and <strong><a href=\"https:\/\/unichrone.com\/gb\/deep-learning-on-aws-training\/\">AWS Deep Learning<\/a>. <\/strong>The size, budget, long-term objectives, and regulatory requirements of your company all play a role. For projects that require responsive scalability, quick learning, and access to cutting-edge AI gear at an affordable price, go with AWS.<\/p>\n\n\n\n<p>In essence, the emerging landscape of deep learning centers on multi-architecture and cloud-based models. With persuasive training programs available that focus on AWS Deep Learning techniques, professionals and organizations alike are poised to make more progress than ever in innovating and competing in the AI era.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"FAQs\"><\/span>FAQs<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<div class=\"schema-faq wp-block-yoast-faq-block\"><div class=\"schema-faq-section\" id=\"faq-question-1772181393135\"><strong class=\"schema-faq-question\"><strong>What is the main difference between AWS Deep Learning and on-premise training?<\/strong><\/strong> <p class=\"schema-faq-answer\">AWS uses cloud-based infrastructure with elastic scalability, while on-premises relies on internally owned and managed hardware.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1772181407786\"><strong class=\"schema-faq-question\"><strong>Is AWS more cost-effective than on-premise infrastructure?<\/strong><\/strong> <p class=\"schema-faq-answer\">AWS follows a pay-as-you-go model, ideal for variable workloads, whereas on-premise may suit predictable long-term usage.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1772181422137\"><strong class=\"schema-faq-question\"><strong>Which option offers better scalability?<\/strong><\/strong> <p class=\"schema-faq-answer\">AWS provides near-unlimited scalability on demand, while on-premise scaling requires hardware expansion.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1772181437089\"><strong class=\"schema-faq-question\"><strong>Is data more secure on-premise than on AWS?<\/strong><\/strong> <p class=\"schema-faq-answer\">On-premise offers full internal control, but AWS provides strong managed security and global compliance certifications.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1772181450641\"><strong class=\"schema-faq-question\"><strong>Who should choose AWS for deep learning?<\/strong><\/strong> <p class=\"schema-faq-answer\">Startups, researchers, and teams needing flexibility and rapid experimentation benefit most from AWS.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1772181464058\"><strong class=\"schema-faq-question\"><strong>When is on-premise training a better choice?<\/strong><\/strong> <p class=\"schema-faq-answer\">\u00a0It is suitable for organizations with strict regulatory requirements or steady, high-volume workloads.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1772181485172\"><strong class=\"schema-faq-question\"><strong>Does AWS provide access to high-performance GPUs?<\/strong><\/strong> <p class=\"schema-faq-answer\">Yes, AWS offers modern GPU and AI-optimized instances without upfront hardware investment.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1772181499953\"><strong class=\"schema-faq-question\"><strong>Can companies use both AWS and on-premise together?<\/strong><\/strong> <p class=\"schema-faq-answer\">Yes, many enterprises adopt a hybrid model for flexibility and compliance balance.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1772181515185\"><strong class=\"schema-faq-question\"><strong>What skills are needed for cloud-based deep learning?<\/strong><\/strong> <p class=\"schema-faq-answer\">Knowledge of services like Amazon SageMaker, Kubernetes, and workflow automation tools is essential.<\/p> <\/div> <div class=\"schema-faq-section\" id=\"faq-question-1772181530447\"><strong class=\"schema-faq-question\"><strong>Is cloud-based deep learning the future of AI workloads?<\/strong><\/strong> <p class=\"schema-faq-answer\">Yes, cloud-native and hybrid architectures are increasingly shaping scalable and innovation-driven AI strategies.<\/p> <\/div> <\/div>\n","protected":false},"excerpt":{"rendered":"<p>When working with Artificial Intelligence and deep learning, a strategic decision is often seen in today&#8217;s rapidly evolving tech landscape. Some important questions arise as&hellip;<\/p>\n","protected":false},"author":14,"featured_media":18584,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[112],"tags":[],"class_list":["post-18577","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cloud-computing"],"_links":{"self":[{"href":"https:\/\/unichrone.com\/blog\/wp-json\/wp\/v2\/posts\/18577","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/unichrone.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/unichrone.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/unichrone.com\/blog\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/unichrone.com\/blog\/wp-json\/wp\/v2\/comments?post=18577"}],"version-history":[{"count":5,"href":"https:\/\/unichrone.com\/blog\/wp-json\/wp\/v2\/posts\/18577\/revisions"}],"predecessor-version":[{"id":18587,"href":"https:\/\/unichrone.com\/blog\/wp-json\/wp\/v2\/posts\/18577\/revisions\/18587"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/unichrone.com\/blog\/wp-json\/wp\/v2\/media\/18584"}],"wp:attachment":[{"href":"https:\/\/unichrone.com\/blog\/wp-json\/wp\/v2\/media?parent=18577"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/unichrone.com\/blog\/wp-json\/wp\/v2\/categories?post=18577"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/unichrone.com\/blog\/wp-json\/wp\/v2\/tags?post=18577"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}