{"id":13676,"date":"2026-01-15T18:03:25","date_gmt":"2026-01-15T11:03:25","guid":{"rendered":"https:\/\/droneth.or.th\/?p=13676"},"modified":"2026-01-21T14:41:18","modified_gmt":"2026-01-21T07:41:18","slug":"nvidia-dgx-spark-personal-ai-supercomputer","status":"publish","type":"post","link":"https:\/\/droneth.or.th\/en\/nvidia-dgx-spark-personal-ai-supercomputer\/","title":{"rendered":"Stop Running AI on \u201cSomeone Else\u2019s Queue\u201d: Why NVIDIA DGX Spark Has Become the Go-To Desktop for Serious AI Teams"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"13676\" class=\"elementor elementor-13676\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d548ee0 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-parent\" data-id=\"d548ee0\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-fa25371 elementor-widget elementor-widget-image\" data-id=\"fa25371\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"2560\" height=\"1707\" src=\"https:\/\/droneth.or.th\/wp-content\/uploads\/2026\/01\/BIZ_Nvidia_Project20Press20v2.webp\" class=\"attachment-full size-full wp-image-13678\" alt=\"\" srcset=\"https:\/\/droneth.or.th\/wp-content\/uploads\/2026\/01\/BIZ_Nvidia_Project20Press20v2.webp 2560w, https:\/\/droneth.or.th\/wp-content\/uploads\/2026\/01\/BIZ_Nvidia_Project20Press20v2-600x400.webp 600w, https:\/\/droneth.or.th\/wp-content\/uploads\/2026\/01\/BIZ_Nvidia_Project20Press20v2-300x200.webp 300w, https:\/\/droneth.or.th\/wp-content\/uploads\/2026\/01\/BIZ_Nvidia_Project20Press20v2-1024x683.webp 1024w, https:\/\/droneth.or.th\/wp-content\/uploads\/2026\/01\/BIZ_Nvidia_Project20Press20v2-768x512.webp 768w, https:\/\/droneth.or.th\/wp-content\/uploads\/2026\/01\/BIZ_Nvidia_Project20Press20v2-1536x1024.webp 1536w, https:\/\/droneth.or.th\/wp-content\/uploads\/2026\/01\/BIZ_Nvidia_Project20Press20v2-2048x1366.webp 2048w, https:\/\/droneth.or.th\/wp-content\/uploads\/2026\/01\/BIZ_Nvidia_Project20Press20v2-18x12.webp 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-11cef18 elementor-widget elementor-widget-text-editor\" data-id=\"11cef18\" data-element_type=\"widget\" data-e-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\t\t<p data-path-to-node=\"8\">The world of AI development is shifting from an era that relied on \u201ccentralized systems\u201d to one where everyone wants \u201cpower in their own hands.\u201d<\/p><p data-path-to-node=\"9\">Traditionally, AI teams or data scientists often faced a critical bottleneck: waiting in line for GPU resources on the cloud or a centralized organizational cluster. This not only slowed down experimentation, but also came with constant anxiety over \u201ccloud bills\u201d that spike every time a new model is trained or fine-tuned.<\/p><p data-path-to-node=\"10\" class=\"translation-block\">Today, the concept of a <b>\u201cPersonal AI Supercomputer\u201d<\/b> is stepping in to solve this problem, with <b><a class=\"ng-star-inserted\" href=\"https:\/\/mtxr.co\/nvidia-dgx-spark-ai\/?gad_source=1&amp;gad_campaignid=21265298079&amp;gbraid=0AAAAA9j61PHUHX7gut4BHnVGBrAFuIWK1&amp;gclid=CjwKCAiAvaLLBhBFEiwAYCNTfygxsIrVH18B-N4z9FmdHLvBlOKY31qUuhKqtqxVeACwu3ZiYQaZiBoCnX4QAvD_BwE\" target=\"_blank\" rel=\"noopener\">NVIDIA DGX Spark<\/a><\/b> emerging as a key driving force. It\u2019s not just a desktop server, but a single, integrated box that combines compute power, memory, and an enterprise-grade software stack\u2014allowing AI teams to get serious work done immediately, without waiting in anyone else\u2019s queue.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d2a48dd elementor-widget elementor-widget-heading\" data-id=\"d2a48dd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">1. From Waiting in the Cloud Queue to Having a Supercomputer on Your Desk<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0145b44 elementor-widget elementor-widget-text-editor\" data-id=\"0145b44\" data-element_type=\"widget\" data-e-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\t\t<h3 data-path-to-node=\"14\">The Classic Problems Facing AI Teams Today<\/h3><p data-path-to-node=\"15\">Imagine an AI team rushing to deliver a Proof of Concept (PoC) for a client, only to get stuck waiting for resource allocation on the cloud\u2014or constantly worrying about budgets spiraling out of control from running large models for hours on end. These issues are the \u201cfriction\u201d that slows innovation, making teams hesitant to experiment with ideas that are too risky or complex.<\/p><h3 data-path-to-node=\"16\">The Personal AI Supercomputer Concept NVIDIA Is Driving with DGX Spark<\/h3><p data-path-to-node=\"17\">NVIDIA defines DGX Spark as a Personal AI Supercomputer\u2014a tool designed to sit directly on your desk (on-premise at the edge), enabling teams to run inference, fine-tuning, and even training of mid-sized models \u201cprivately,\u201d without worrying about latency or per-minute costs anymore.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-df03900 elementor-widget elementor-widget-heading\" data-id=\"df03900\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">2. DGX Spark from the Perspective of Serious AI Teams (Not a Toy)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-82732ab elementor-widget elementor-widget-text-editor\" data-id=\"82732ab\" data-element_type=\"widget\" data-e-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\t\t<h3 data-path-to-node=\"21\">Specifications That Actually Matter in the Real World<\/h3><p data-path-to-node=\"22\">Beneath its clean, minimal design, DGX Spark hides computing power purpose-built specifically for AI workloads:<\/p><ul data-path-to-node=\"23\"><li><p data-path-to-node=\"23,0,0\" class=\"translation-block\"><b>NVIDIA GB10 Grace Blackwell Superchip:<\/b> The core engine delivering exceptional performance per watt.<\/p><\/li><li><p data-path-to-node=\"23,1,0\" class=\"translation-block\"><b>Up to 1,000 AI TOPS (FP4):<\/b> A figure that confirms this machine is fully ready for serious LLM inference and training workloads.<\/p><\/li><li><p data-path-to-node=\"23,2,0\" class=\"translation-block\"><b>128 GB Unified Memory:<\/b> A unified memory architecture that reduces data-transfer bottlenecks between the CPU and GPU, enabling smoother loading and handling of large models.<\/p><\/li><li><p data-path-to-node=\"23,3,0\" class=\"translation-block\"><b>NVMe Storage:<\/b> High-capacity, high-speed storage (e.g., 1\u20134 TB) designed to handle large-scale datasets.<\/p><\/li><\/ul><h3 data-path-to-node=\"24\">Why 200B Parameters (and 405B with Two Units Connected) Matter<\/h3><p data-path-to-node=\"25\" class=\"translation-block\">In the era of Generative AI, model size truly matters. With the specifications above, a single DGX Spark can comfortably run LLMs at around <b>~200 billion parameters<\/b>. When more power is needed, two units can be connected via a special mode (ConnectX-7) to support models up to <b>~405 billion parameters<\/b>, which is more than sufficient for even the most complex AI agent systems in use today.<\/p><h3 data-path-to-node=\"26\">DGX OS + NVIDIA AI Stack = Ready to Work Right Out of the Box<\/h3><p data-path-to-node=\"27\">The secret that makes DGX Spark superior to building a high-end custom PC is the \u201csoftware.\u201d The system comes preinstalled with DGX OS and NVIDIA AI Enterprise, including standard tools like PyTorch, TensorFlow, and NVIDIA Base Command. The goal is to reduce system setup time to zero, allowing teams to spend their time fully on models and data instead.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3ba91d0 elementor-widget elementor-widget-image\" data-id=\"3ba91d0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1070\" height=\"601\" src=\"https:\/\/droneth.or.th\/wp-content\/uploads\/2026\/01\/0_OQA4F3haViTzucMp.jpg\" class=\"attachment-full size-full wp-image-13679\" alt=\"\" srcset=\"https:\/\/droneth.or.th\/wp-content\/uploads\/2026\/01\/0_OQA4F3haViTzucMp.jpg 1070w, https:\/\/droneth.or.th\/wp-content\/uploads\/2026\/01\/0_OQA4F3haViTzucMp-600x337.jpg 600w, https:\/\/droneth.or.th\/wp-content\/uploads\/2026\/01\/0_OQA4F3haViTzucMp-300x169.jpg 300w, https:\/\/droneth.or.th\/wp-content\/uploads\/2026\/01\/0_OQA4F3haViTzucMp-1024x575.jpg 1024w, https:\/\/droneth.or.th\/wp-content\/uploads\/2026\/01\/0_OQA4F3haViTzucMp-768x431.jpg 768w, https:\/\/droneth.or.th\/wp-content\/uploads\/2026\/01\/0_OQA4F3haViTzucMp-18x10.jpg 18w\" sizes=\"(max-width: 1070px) 100vw, 1070px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a8ea497 elementor-widget elementor-widget-heading\" data-id=\"a8ea497\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">3. How It\u2019s Actually Used in the Real World<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cab62b5 elementor-widget elementor-widget-text-editor\" data-id=\"cab62b5\" data-element_type=\"widget\" data-e-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\t\t<h3 data-path-to-node=\"31\">From Experimental Labs \u2192 Real AI Photobooths, Events, and Live Experiences<\/h3><p data-path-to-node=\"32\" class=\"translation-block\">For events that demand speed and reliability, the <a href=\"https:\/\/mtxr.co\/shop\/nvidia-dgx-spark\/?srsltid=AfmBOorKBZMWIH8091WQ58u_l-BzTioJ9UAz4nAmyNIkA94BsgVXSK20\" target=\"_self\">Metaverse XR (MTXR)<\/a> team deployed DGX Spark as the core engine behind their <b><a class=\"ng-star-inserted\" href=\"https:\/\/droneth.or.th\/en\/ai-photobooth-nvidia-dgx-spark-innovation\/\" target=\"_blank\" rel=\"noopener\">AI Photobooth<\/a><\/b>. It was used to run real-time face detection and pose estimation models, delivering a smooth, interactive experience without relying on on-site internet connectivity.<\/p><h3 data-path-to-node=\"33\">From Dev Playground \u2192 Heavy-Duty AI Drone &amp; Computer Vision Systems<\/h3><p data-path-to-node=\"34\" class=\"translation-block\"><p>\nDGX Spark enables\n<a href=\"https:\/\/dronexr.org\/nvidia-dgx-spark--ai-\/\" target=\"_blank\" rel=\"noopener\">DroneXR<\/a>\nto train and fine-tune AI inspection models before real-world deployment.\n<\/p><\/p><h3 data-path-to-node=\"35\">From \u201cJust Playing with Models\u201d \u2192 AI Clubs &amp; Classrooms Where Everyone Can Build Their Own AI<\/h3><p data-path-to-node=\"36\" class=\"translation-block\">Many educational institutions are beginning to see DGX Spark as the core of their <b>\u201cAI Club\u201d<\/b>, using it as a shared central server where students can take turns experimenting with agents, running RAG (Retrieval-Augmented Generation), or building personal AI assistants\u2014without worrying about running out of cloud credits.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dd53f70 elementor-widget elementor-widget-heading\" data-id=\"dd53f70\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">4. What to Do Next If You Want to Get Hands-On with DGX Spark<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1a57794 elementor-widget elementor-widget-text-editor\" data-id=\"1a57794\" data-element_type=\"widget\" data-e-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\t\t<p data-path-to-node=\"40\">Investing in hardware at this level is no small decision\u2014it\u2019s a long-term foundation for your AI team. If you\u2019re starting to see how having a dedicated \u201cAI desk\u201d can unlock your team\u2019s full potential, we have guidance ready for your next steps.<\/p><h3 data-path-to-node=\"41\">Check out the specifications and purchase options (no need to rush into a decision).<\/h3><p data-path-to-node=\"42\">First, we recommend that you explore more in-depth information to see which specifications best fit your workload:<\/p><ul data-path-to-node=\"43\"><li><p data-path-to-node=\"43,0,0\" class=\"translation-block\">Check the full specifications of the <b><a href=\"https:\/\/mtxr.co\/shop\/nvidia-dgx-spark\/?srsltid=AfmBOorKBZMWIH8091WQ58u_l-BzTioJ9UAz4nAmyNIkA94BsgVXSK20\" target=\"_self\">NVIDIA DGX\u2122 Spark specs<\/a><\/b> on the MTXR product page.\n\n(You\u2019ll find detailed hardware and configuration info to help you choose the right setup.)<\/p><\/li><li><p data-path-to-node=\"43,1,0\" class=\"translation-block\">Or if you\u2019d like to see perspectives on real-world applications in the drone and education sectors, check out this <b><a class=\"ng-star-inserted\" href=\"https:\/\/dronexr.org\/nvidia-dgx-spark-review-silent-power\/\" target=\"_blank\" rel=\"noopener\">review and analysis on DroneXR<\/a><\/b>.<\/p><\/li><\/ul><h3 data-path-to-node=\"44\">Talk to a Team That Uses DGX Spark in Real Production Every Day<\/h3><p data-path-to-node=\"45\" class=\"translation-block\">There\u2019s nothing better than talking to people who use it in real-world scenarios. The teams at <b>Metaverse XR (MTXR)<\/b> and <b>Drone Academy<\/b> rely on DGX Spark every day to power a wide range of projects\u2014from live events to research initiatives.<\/p><p data-path-to-node=\"46\">If you\u2019d like to see how DGX Spark could become the dedicated \u201ceveryday desk\u201d for your organization\u2019s AI team\u2014or want to consult on designing the right solution\u2014starting a conversation with a team that has real, hands-on experience can be a great first step.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e4b6595 elementor-widget elementor-widget-html\" data-id=\"e4b6595\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p style=\"font-size: 1.1em; line-height: 1.6;\">\r\n    \r\n\r\n    \r\n        \ud83d\udc49 The Metaverse XR (MTXR) team offers direct consultation via LINE Official Account: <strong><a href=\"https:\/\/page.line.me\/682mqqmh\" target=\"_blank\" rel=\"noopener\">@metaxr<\/a><\/strong>. We help define your AI strategy, recommend suitable hardware specs, and guide you through real-world enterprise implementation.\r\n    \r\n\r\n    \r\n\r\n    \r\n\r\n    \r\n<\/p>\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>","protected":false},"excerpt":{"rendered":"<p>Introducing NVIDIA DGX\u2122 Spark: Transform your desk into a world-class AI research hub with this &#8220;Personal AI Supercomputer.&#8221; Powered by the latest Grace Blackwell (GB10) chip and 128GB of Unified Memory, it enables seamless execution of massive LLMs and high-performance computing locally\u2014no Cloud required.<\/p>","protected":false},"author":2,"featured_media":13683,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","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":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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Lertpanikul","author_link":"https:\/\/droneth.or.th\/en\/author\/adminnu\/"},"rttpg_comment":0,"rttpg_category":"<a href=\"https:\/\/droneth.or.th\/en\/category\/ai-club\/\" rel=\"category tag\">AI<\/a> <a href=\"https:\/\/droneth.or.th\/en\/category\/article\/ai-article\/\" rel=\"category tag\">AI Article<\/a>","rttpg_excerpt":"[trp_language language=\"th\"]\u0e40\u0e1b\u0e34\u0e14\u0e15\u0e31\u0e27 NVIDIA DGX\u2122 Spark: \u0e1b\u0e0f\u0e34\u0e27\u0e31\u0e15\u0e34\u0e42\u0e15\u0e4a\u0e30\u0e17\u0e33\u0e07\u0e32\u0e19\u0e43\u0e2b\u0e49\u0e40\u0e1b\u0e47\u0e19\u0e28\u0e39\u0e19\u0e22\u0e4c\u0e27\u0e34\u0e08\u0e31\u0e22 AI \u0e23\u0e30\u0e14\u0e31\u0e1a\u0e42\u0e25\u0e01 \u0e14\u0e49\u0e27\u0e22 \"AI Supercomputer \u0e2a\u0e48\u0e27\u0e19\u0e1a\u0e38\u0e04\u0e04\u0e25\" \u0e02\u0e31\u0e1a\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e42\u0e14\u0e22\u0e0a\u0e34\u0e1b Grace Blackwell (GB10) \u0e23\u0e38\u0e48\u0e19\u0e25\u0e48\u0e32\u0e2a\u0e38\u0e14\u0e41\u0e25\u0e30 Unified Memory 128GB \u0e17\u0e35\u0e48\u0e43\u0e2b\u0e49\u0e04\u0e38\u0e13\u0e23\u0e31\u0e19\u0e42\u0e21\u0e40\u0e14\u0e25 LLM \u0e02\u0e19\u0e32\u0e14\u0e43\u0e2b\u0e0d\u0e48\u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e02\u0e31\u0e49\u0e19\u0e2a\u0e39\u0e07\u0e44\u0e14\u0e49\u0e25\u0e37\u0e48\u0e19\u0e44\u0e2b\u0e25 \u0e42\u0e14\u0e22\u0e44\u0e21\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e1e\u0e36\u0e48\u0e07\u0e1e\u0e32 Cloud[\/trp_language][trp_language language=\"en_US\"]Introducing NVIDIA DGX\u2122 Spark: Transform your desk into a world-class AI research hub with this \"Personal AI Supercomputer.\" Powered by the latest Grace Blackwell (GB10) chip and 128GB of Unified&hellip;","_links":{"self":[{"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/posts\/13676","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/comments?post=13676"}],"version-history":[{"count":3,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/posts\/13676\/revisions"}],"predecessor-version":[{"id":13844,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/posts\/13676\/revisions\/13844"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/media\/13683"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/media?parent=13676"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/categories?post=13676"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/tags?post=13676"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}