{"id":74952,"date":"2026-05-28T16:25:32","date_gmt":"2026-05-28T10:55:32","guid":{"rendered":"https:\/\/cyfuture.cloud\/blog\/?p=74952"},"modified":"2026-05-28T17:39:49","modified_gmt":"2026-05-28T12:09:49","slug":"why-is-liquid-cooling-essential-for-modern-ai-data-centers","status":"publish","type":"post","link":"https:\/\/cyfuture.cloud\/blog\/why-is-liquid-cooling-essential-for-modern-ai-data-centers\/","title":{"rendered":"<strong>Why is Liquid Cooling Essential for Modern AI Data Centers?<\/strong>"},"content":{"rendered":"<div id=\"toc_container\" class=\"no_bullets\"><p class=\"toc_title\">Table of Contents<\/p><ul class=\"toc_list\"><li><a href=\"#The_Heat_Problem_No_One_Is_Ignoring_Anymore\">The Heat Problem No One Is Ignoring Anymore<\/a><\/li><li><a href=\"#Why_Air_Cooling_Is_Hitting_a_Wall\">Why Air Cooling Is Hitting a Wall<\/a><\/li><li><a href=\"#The_Three_Core_Liquid_Cooling_Technologies_Powering_AI_Infrastructure\">The Three Core Liquid Cooling Technologies Powering AI Infrastructure<\/a><ul><li><a href=\"#1_Direct-to-Chip_DTC_Direct_Liquid_Cooling\">1. Direct-to-Chip (DTC) \/ Direct Liquid Cooling<\/a><\/li><li><a href=\"#2_Single-Phase_Immersion_Cooling\">2. Single-Phase Immersion Cooling<\/a><\/li><li><a href=\"#3_Two-Phase_Immersion_Cooling\">3. Two-Phase Immersion Cooling<\/a><\/li><\/ul><\/li><li><a href=\"#Liquid_Cooling_vs_Air_Cooling_A_Head-to-Head_Comparison\">Liquid Cooling vs. Air Cooling: A Head-to-Head Comparison<\/a><\/li><li><a href=\"#The_Water_Paradox_And_How_Closed-Loop_Systems_Solve_It\">The Water Paradox \u2014 And How Closed-Loop Systems Solve It<\/a><\/li><li><a href=\"#The_Business_Case_What_the_Numbers_Say\">The Business Case: What the Numbers Say<\/a><\/li><li><a href=\"#India8217s_AI_Data_Center_Moment_And_Why_Liquid_Cooling_Is_the_Differentiator\">India&#8217;s AI Data Center Moment \u2014 And Why Liquid Cooling Is the Differentiator<\/a><\/li><li><a href=\"#Cyfuture_Cloud_India8217s_Future-Ready_AI_Compute_Partner\">Cyfuture Cloud: India&#8217;s Future-Ready AI Compute Partner<\/a><\/li><li><a href=\"#What_This_Means_for_You_A_Practical_Decision_Framework\">What This Means for You: A Practical Decision Framework<\/a><\/li><\/ul><\/div>\n\n<h2><span id=\"The_Heat_Problem_No_One_Is_Ignoring_Anymore\"><b>The Heat Problem No One Is Ignoring Anymore<\/b><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Here&#8217;s the thing most people don&#8217;t tell you about AI: it runs hot. Dangerously hot.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A single NVIDIA GB200 NVL72 rack \u2014 the kind powering cutting-edge LLM training today \u2014 consumes up to <\/span><b>120 kilowatts of power<\/b><span style=\"font-weight: 400;\">. That&#8217;s roughly equivalent to running 40 average Indian households simultaneously, in a box the size of a large wardrobe. Traditional air conditioning systems were never designed for this. Not even close.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In 2026, this is no longer a future problem. It&#8217;s happening on the floor of every serious AI data center right now.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">That&#8217;s why <\/span><a href=\"https:\/\/cyfuture.cloud\/10MW-liquid-cooled-ai-data-center\"><span style=\"font-weight: 400;\">liquid cooled AI data centers<\/span><\/a><span style=\"font-weight: 400;\"> have moved from being a niche engineering curiosity to an absolute operational necessity. And that&#8217;s exactly what this deep-dive is about.<\/span><\/p>\n<p><a href=\"https:\/\/cyfuture.cloud\/10MW-liquid-cooled-ai-data-center\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-74953 size-full\" src=\"https:\/\/cyfuture.cloud\/blog\/cyft-uploads\/2026\/05\/CTA-2-final.jpg\" alt=\"Liquid Cooled AI Data Center\" width=\"1024\" height=\"283\" srcset=\"https:\/\/cyfuture.cloud\/blog\/cyft-uploads\/2026\/05\/CTA-2-final.jpg 1024w, https:\/\/cyfuture.cloud\/blog\/cyft-uploads\/2026\/05\/CTA-2-final-300x83.jpg 300w, https:\/\/cyfuture.cloud\/blog\/cyft-uploads\/2026\/05\/CTA-2-final-768x212.jpg 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/p>\n<p><b>Key Terms:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>PUE (Power Usage Effectiveness):<\/b><span style=\"font-weight: 400;\"> Total facility power \u00f7 IT equipment power. The closer to 1.0, the more efficient.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>WUE (Water Usage Effectiveness):<\/b><span style=\"font-weight: 400;\"> Water consumed \u00f7 IT energy used. A key sustainability metric.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>DTC (Direct-to-Chip):<\/b><span style=\"font-weight: 400;\"> A closed-loop liquid cooling method where coolant flows directly over cold plates attached to processors.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Immersion Cooling:<\/b><span style=\"font-weight: 400;\"> Servers are fully submerged in non-conductive dielectric fluid.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Thermal Throttling:<\/b><span style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"> When a processor automatically reduces its speed to prevent damage from overheating, causing direct performance loss.<br \/><br \/><\/span><\/span>\n<h2><span id=\"Why_Air_Cooling_Is_Hitting_a_Wall\"><b>Why Air Cooling Is Hitting a Wall<\/b><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Let&#8217;s be blunt: air cooling is running out of road.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Data centers globally consume approximately <\/span><b>460 terawatt-hours of electricity annually<\/b><span style=\"font-weight: 400;\">, with cooling alone representing roughly <\/span><b>40% of total energy use<\/b><span style=\"font-weight: 400;\"> in traditional facilities. Meanwhile, NVIDIA&#8217;s GPU roadmap shows processor power consumption doubling every two years \u2014 reaching <\/span><b>1,500 watts per chip by 2026<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The math doesn&#8217;t lie. You cannot cool a 100+ kW rack with air-conditioning.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">What makes liquid so fundamentally superior? Water conducts heat approximately <\/span><b>25 times more efficiently than air<\/b><span style=\"font-weight: 400;\">. That single physical fact is why the entire industry is restructuring itself around liquid cooling technologies.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Goldman Sachs estimates that <\/span><b>76% of AI servers deployed by end of 2026 will be liquid-cooled<\/b><span style=\"font-weight: 400;\"> \u2014 a seismic shift from just a few years ago, when liquid cooling was considered exotic. Regulators are catching up too: the EU Energy Efficiency Directive (EED) now mandates PUE and WUE reporting for all data centers, and Singapore allows new data center permits only with a PUE under 1.2.<\/span><\/p>\n<h2><span id=\"The_Three_Core_Liquid_Cooling_Technologies_Powering_AI_Infrastructure\"><b>The Three Core Liquid Cooling Technologies Powering AI Infrastructure<\/b><\/span><\/h2>\n<h3><span id=\"1_Direct-to-Chip_DTC_Direct_Liquid_Cooling\"><b>1. Direct-to-Chip (DTC) \/ Direct Liquid Cooling<\/b><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Think of this as precision cooling surgery. Cold plates \u2014 flat metal blocks with internal microchannels \u2014 are mounted directly on CPUs, GPUs, and AI accelerators. A chilled liquid (typically water or a water-glycol mixture) is pumped through these plates in a closed loop, absorbing heat and carrying it to an external heat exchanger.<\/span><\/p>\n<p><b>Why it matters:<\/b><span style=\"font-weight: 400;\"> DTC systems can handle rack densities above 20 kW (ASHRAE&#8217;s 2026 Class H1 thermal guidelines now formally recommend DTC as the threshold crosses 20 kW per rack). AWS deployed a custom DTC solution achieving up to <\/span><b>46% reduction in mechanical energy consumption<\/b><span style=\"font-weight: 400;\"> during peak cooling cycles.<\/span><\/p>\n<h3><span id=\"2_Single-Phase_Immersion_Cooling\"><b>2. Single-Phase Immersion Cooling<\/b><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Here, entire servers are submerged in a tank filled with engineered, non-conductive dielectric fluid. The fluid absorbs heat on contact, rises to the surface as it warms, cools, and circulates back \u2014 a natural convection cycle.<\/span><\/p>\n<p><b>Why it matters:<\/b><span style=\"font-weight: 400;\"> Single-phase immersion cooling achieves PUE as low as <\/span><b>1.04\u20131.08<\/b><span style=\"font-weight: 400;\">, versus the industry average of 1.4\u20131.8 for air-cooled facilities. Compared to traditional air cooling, it can reduce electricity consumption by nearly <\/span><b>50%<\/b><span style=\"font-weight: 400;\"> and support up to <\/span><b>99% less water consumption<\/b><span style=\"font-weight: 400;\"> through closed-loop operation.<\/span><\/p>\n<h3><span id=\"3_Two-Phase_Immersion_Cooling\"><b>3. Two-Phase Immersion Cooling<\/b><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">More advanced still \u2014 the dielectric fluid actually changes state from liquid to vapor as it absorbs heat, then condenses back in a closed cycle. This phase-change mechanism extracts enormous amounts of heat with minimal fluid flow.<\/span><\/p>\n<p><b>Why it matters:<\/b><span style=\"font-weight: 400;\"> Two-phase systems can achieve PUE of <\/span><b>1.02\u20131.05<\/b><span style=\"font-weight: 400;\">, among the lowest in the industry, making them ideal for extreme-density AI accelerator deployments. The global immersion cooling market reached <\/span><b>$4.87 billion in 2025<\/b><span style=\"font-weight: 400;\"> and is forecast to hit <\/span><b>$11.10 billion by 2030<\/b><span style=\"font-weight: 400;\"> at a CAGR of 17.91%.<\/span><\/p>\n<h2><span id=\"Liquid_Cooling_vs_Air_Cooling_A_Head-to-Head_Comparison\"><b>Liquid Cooling vs. Air Cooling: A Head-to-Head Comparison<\/b><\/span><\/h2>\n<table>\n<tbody>\n<tr>\n<td>\n<p><b>Parameter<\/b><\/p>\n<\/td>\n<td>\n<p><b>Air Cooling<\/b><\/p>\n<\/td>\n<td>\n<p><b>Direct-to-Chip (DTC)<\/b><\/p>\n<\/td>\n<td>\n<p><b>Immersion Cooling<\/b><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p><b>Typical PUE<\/b><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">1.4 \u2013 1.8<\/span><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">1.1 \u2013 1.3<\/span><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">1.02 \u2013 1.08<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p><b>Max Rack Density Supported<\/b><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">~15\u201320 kW<\/span><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">30\u201380 kW<\/span><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">80\u2013200+ kW<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p><b>Energy Reduction vs. Air<\/b><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">Baseline<\/span><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">~30\u201346%<\/span><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">~40\u201350%<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p><b>Water Consumption<\/b><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">High (evaporative)<\/span><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">Low (closed-loop)<\/span><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">Very Low (closed-loop)<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p><b>Hardware Thermal Throttling Risk<\/b><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">High at AI densities<\/span><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">Low<\/span><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">Very Low<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p><b>Capital Cost<\/b><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">Lower upfront<\/span><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">Medium<\/span><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">Higher upfront<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p><b>Ideal Workload<\/b><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">Low-density, legacy<\/span><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">AI training &amp; inference<\/span><\/p>\n<\/td>\n<td>\n<p><span style=\"font-weight: 400;\">Hyperscale AI \/ HPC<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<br \/>\n<h2><span id=\"The_Water_Paradox_And_How_Closed-Loop_Systems_Solve_It\"><b>The Water Paradox \u2014 And How Closed-Loop Systems Solve It<\/b><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Wait \u2014 isn&#8217;t liquid cooling going to drain water resources? It&#8217;s a fair question, and one that enterprise sustainability teams are rightly asking.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here&#8217;s the nuance: <\/span><b>not all liquid cooling is equal when it comes to water consumption.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Open-loop evaporative cooling (like old-school cooling towers) can indeed consume massive volumes of freshwater \u2014 a serious concern in water-stressed regions like parts of India and the U.S. Southwest.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">But <\/span><b>closed-loop DTC and immersion systems<\/b><span style=\"font-weight: 400;\"> are fundamentally different. The same liquid recirculates continuously through sealed piping. There is no evaporation, no water loss. Closed-loop liquid cooling actually <\/span><b>reduces direct water use by 70\u201390%<\/b><span style=\"font-weight: 400;\"> compared to traditional evaporative methods. For facilities in India \u2014 where water stress is a real and growing concern \u2014 this distinction is critical.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Emerging on the horizon: <\/span><b>microfluidic chip cooling<\/b><span style=\"font-weight: 400;\">, where microscopic liquid channels are etched directly inside silicon chips, extracting heat at the source with unprecedented precision. Intel and several fabless chip designers have active R&amp;D programs here, and commercial deployments are anticipated within 2\u20133 years.<\/span><\/p>\n<h2><span id=\"The_Business_Case_What_the_Numbers_Say\"><b>The Business Case: What the Numbers Say<\/b><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Let&#8217;s get commercial for a moment. Because for tech leaders and enterprise decision-makers reading this, the ROI question is always on the table.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Energy cost reduction:<\/b><span style=\"font-weight: 400;\"> Advanced liquid cooling systems reduce energy use by <\/span><b>over 30%<\/b><span style=\"font-weight: 400;\"> compared to traditional thermal management \u2014 a direct OpEx reduction for data center operators.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Regulatory compliance:<\/b><span style=\"font-weight: 400;\"> The EU EED&#8217;s 2026 PUE\/WUE reporting mandates and U.S. state-level quarterly disclosure laws (California AB 1577, Michigan SB 762, Iowa HF 2447) mean air-cooled infrastructure above 20 kW per rack is now a <\/span><b>compliance liability<\/b><span style=\"font-weight: 400;\">, not just an efficiency gap.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Compute performance:<\/b><span style=\"font-weight: 400;\"> Liquid cooling eliminates thermal throttling, meaning AI training runs complete faster, time-to-revenue for AI services shortens, and GPU utilization improves \u2014 directly impacting the bottom line.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Market growth:<\/b><span style=\"font-weight: 400;\"> The global data center liquid cooling market grew from <\/span><b>$4.18 billion in 2024 to $5.1 billion in 2025<\/b><span style=\"font-weight: 400;\"> at a CAGR of 21.9% \u2014 confirming this is not an emerging trend but an established infrastructure paradigm.<\/span><\/li>\n<\/ul>\n<h2><span id=\"India8217s_AI_Data_Center_Moment_And_Why_Liquid_Cooling_Is_the_Differentiator\"><b>India&#8217;s AI Data Center Moment \u2014 And Why Liquid Cooling Is the Differentiator<\/b><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">India&#8217;s data center market is at an inflection point. Installed capacity is projected to grow from approximately <\/span><b>1.3 GW in early 2025 to over 4.5 GW by 2030<\/b><span style=\"font-weight: 400;\">. The Indian data center market \u2014 valued at around $4.5 billion in 2023 \u2014 is expected to surpass <\/span><b>$8 billion by 2026<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The catalyst? AI. Generative AI workloads require rack densities of <\/span><b>30\u201340 kW and beyond<\/b><span style=\"font-weight: 400;\">, versus the traditional 8\u201310 kW racks most legacy Indian data centers were designed for. Without liquid cooling, these workloads are physically impossible to operate at scale.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This is exactly where <\/span><b>Cyfuture Cloud&#8217;s 10MW Liquid-Cooled AI Data Center<\/b><span style=\"font-weight: 400;\"> enters the picture.<\/span><\/p>\n<br \/><br \/>\n<h2><span id=\"Cyfuture_Cloud_India8217s_Future-Ready_AI_Compute_Partner\"><b>Cyfuture Cloud: India&#8217;s Future-Ready AI Compute Partner<\/b><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Cyfuture Cloud operates multiple <\/span><b>Tier III, MeiTy-empaneled data centers<\/b><span style=\"font-weight: 400;\"> across India, delivering enterprise-grade cloud infrastructure with a 100% uptime guarantee. As a MeiTy-empaneled cloud services provider, Cyfuture Cloud meets India&#8217;s most stringent government compliance standards \u2014 critical for enterprises, PSUs, and developers handling sensitive data within India&#8217;s borders.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The <\/span><b>10MW Liquid-Cooled AI Data Center<\/b><span style=\"font-weight: 400;\"> is engineered from the ground up for high-density AI and GPU workloads. This isn&#8217;t retrofitted air-cooled infrastructure with liquid bolted on as an afterthought. It is a purpose-built facility designed to support next-generation AI compute \u2014 including <\/span><b>Vera Rubin NVL72 Infrastructure<\/b><span style=\"font-weight: 400;\"> , <\/span><b>NVIDIA Blackwell-ready infrastructure<\/b><span style=\"font-weight: 400;\">, GPU colocation with liquid cooling, and <\/span><b>direct-to-chip colocation<\/b><span style=\"font-weight: 400;\"> capabilities that match the thermal profiles of today&#8217;s most demanding AI accelerators.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For enterprises building LLM training pipelines, developers running inference at scale, and tech leaders planning their AI infrastructure roadmap, this represents AI-ready colocation services with the reliability backbone India&#8217;s digital economy demands.<\/span><\/p>\n<h2><span id=\"What_This_Means_for_You_A_Practical_Decision_Framework\"><b>What This Means for You: A Practical Decision Framework<\/b><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">So where does this leave enterprise architects, developers, and CIOs evaluating their infrastructure stack in 2026?<\/span><\/p>\n<p><b>If you are running AI training workloads:<\/b><b><br \/><\/b><span style=\"font-weight: 400;\"> You need DTC or immersion cooling. Air-cooled infrastructure will thermally throttle your GPUs, extend training runs, and inflate your compute costs. The performance penalty is real.<\/span><\/p>\n<p><b>If you are planning colocation for GPU clusters:<\/b><b><br \/><\/b><span style=\"font-weight: 400;\"> Ask your provider directly: what is your maximum rack density? What is your PUE? Do you support direct-to-chip colocation? A vendor unwilling to answer these questions concretely is not ready for AI workloads.<\/span><\/p>\n<p><b>If you are an enterprise evaluating TCO:<\/b><b><br \/><\/b><span style=\"font-weight: 400;\"> Factor in the regulatory trajectory. Liquid cooling is not just an efficiency choice in 2026 \u2014 it is a compliance preparation decision. Energy and water disclosure mandates are expanding globally and in India.<\/span><\/p>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Table of ContentsThe Heat Problem No One Is Ignoring AnymoreWhy Air Cooling Is Hitting a WallThe Three Core Liquid Cooling Technologies Powering AI Infrastructure1. Direct-to-Chip (DTC) \/ Direct Liquid Cooling2. Single-Phase Immersion Cooling3. Two-Phase Immersion CoolingLiquid Cooling vs. Air Cooling: A Head-to-Head ComparisonThe Water Paradox \u2014 And How Closed-Loop Systems Solve ItThe Business Case: What [&hellip;]<\/p>\n","protected":false},"author":29,"featured_media":74955,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[830],"tags":[1068],"acf":[],"_links":{"self":[{"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/posts\/74952"}],"collection":[{"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/users\/29"}],"replies":[{"embeddable":true,"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/comments?post=74952"}],"version-history":[{"count":5,"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/posts\/74952\/revisions"}],"predecessor-version":[{"id":74960,"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/posts\/74952\/revisions\/74960"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/media\/74955"}],"wp:attachment":[{"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/media?parent=74952"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/categories?post=74952"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/tags?post=74952"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}