{"id":74901,"date":"2026-05-12T11:21:17","date_gmt":"2026-05-12T05:51:17","guid":{"rendered":"https:\/\/cyfuture.cloud\/blog\/?p=74901"},"modified":"2026-05-12T11:22:11","modified_gmt":"2026-05-12T05:52:11","slug":"cloud-hosting-price-vs-gpu-as-a-service-cost-whats-the-real-difference-in-2026","status":"publish","type":"post","link":"https:\/\/cyfuture.cloud\/blog\/cloud-hosting-price-vs-gpu-as-a-service-cost-whats-the-real-difference-in-2026\/","title":{"rendered":"<strong>Cloud Hosting Price vs. GPU as a Service Cost: What&#8217;s the Real Difference in 2026?<\/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=\"#What_Is_Cloud_Hosting_Price\">What Is Cloud Hosting Price?<\/a><\/li><li><a href=\"#Understanding_the_2026_Pricing_Landscape\">Understanding the 2026 Pricing Landscape<\/a><\/li><li><a href=\"#The_Real_Cost_Architecture_Beyond_the_Hourly_Rate\">The Real Cost Architecture: Beyond the Hourly Rate<\/a><\/li><li><a href=\"#Use_Case_Economics_When_Each_Model_Makes_Sense\">Use Case Economics: When Each Model Makes Sense<\/a><\/li><li><a href=\"#2026_Market_Dynamics_and_Pricing_Trends\">2026 Market Dynamics and Pricing Trends<\/a><\/li><li><a href=\"#Total_Cost_of_Ownership_The_Decision_Framework\">Total Cost of Ownership: The Decision Framework<\/a><\/li><li><a href=\"#Optimization_Strategies_That_Actually_Work\">Optimization Strategies That Actually Work<\/a><\/li><li><a href=\"#The_2026_Reality_Check\">The 2026 Reality Check<\/a><\/li><li><a href=\"#Architect_Your_Infrastructure_Economics_with_Cyfuture_Cloud8217s_Intelligent_Platform\">Architect Your Infrastructure Economics with Cyfuture Cloud&#8217;s Intelligent Platform<\/a><\/li><\/ul><\/div>\n\n<p><b><i>Cloud Hosting Price structures and GPU as a Service cost models represent fundamentally different value propositions in 2026&#8217;s infrastructure landscape. While standard cloud hosting averages USD 50-500 monthly for typical web applications, GPU as a Service commands USD 0.50-8.00 per GPU hour\u2014a difference that confuses many technical decision-makers. Understanding these pricing architectures isn&#8217;t just about comparing numbers; it&#8217;s about aligning infrastructure costs with computational requirements, performance expectations, and business outcomes.<\/i><\/b><\/p>\n<p><span style=\"font-weight: 400;\">Here&#8217;s what&#8217;s changed:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The pricing gap between general-purpose compute and specialized GPU infrastructure has actually narrowed by 35% since 2024, driven by increased GPU availability and competitive pressure from providers like Cyfuture Cloud, AWS, Google Cloud, and specialized GPU vendors.<\/span><\/p>\n<p><a href=\"https:\/\/cyfuture.cloud\/cloud-cost-calculator\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-74902 size-full\" src=\"https:\/\/cyfuture.cloud\/blog\/cyft-uploads\/2026\/05\/Optimize-Your-Infrastructure-Spending-with-Cyfuture-Cloud-cta.jpg\" alt=\"GPU as a Service\" width=\"970\" height=\"270\" srcset=\"https:\/\/cyfuture.cloud\/blog\/cyft-uploads\/2026\/05\/Optimize-Your-Infrastructure-Spending-with-Cyfuture-Cloud-cta.jpg 970w, https:\/\/cyfuture.cloud\/blog\/cyft-uploads\/2026\/05\/Optimize-Your-Infrastructure-Spending-with-Cyfuture-Cloud-cta-300x84.jpg 300w, https:\/\/cyfuture.cloud\/blog\/cyft-uploads\/2026\/05\/Optimize-Your-Infrastructure-Spending-with-Cyfuture-Cloud-cta-768x214.jpg 768w\" sizes=\"(max-width: 970px) 100vw, 970px\" \/><\/a><\/p>\n\n\n\n<h2><span id=\"What_Is_Cloud_Hosting_Price\"><b>What Is Cloud Hosting Price?<\/b><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Cloud Hosting Price refers to the cost structure for renting virtualized computing resources\u2014including CPU, RAM, storage, and bandwidth\u2014from providers who operate distributed server infrastructure. Standard pricing ranges from USD 5-20 monthly for entry-level shared hosting to USD 50-500+ for scalable cloud instances, depending on resource allocation and service level agreements.<\/span><\/p>\n<h2><span id=\"Understanding_the_2026_Pricing_Landscape\"><b>Understanding the 2026 Pricing Landscape<\/b><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Let&#8217;s cut through the noise:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">More than one-third of organizations report cloud budget overruns of 20-40%, primarily because they misunderstand the fundamental cost differences between general-purpose hosting and specialized GPU compute.<\/span><\/p>\n<p><b>Cloud Hosting Price in 2026:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Basic cloud configurations start at USD 27-50 monthly, while enterprise-grade setups reach USD 1,000+ monthly. The median for production workloads sits around USD 200-400 monthly.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Breaking down typical costs:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Compute (vCPU\/RAM)<\/b><span style=\"font-weight: 400;\">: 60-70% of total spend<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Storage<\/b><span style=\"font-weight: 400;\">: 15-20%<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Bandwidth\/Egress<\/b><span style=\"font-weight: 400;\">: 10-15%<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Support\/SLA premiums<\/b><span style=\"font-weight: 400;\">: 5-10%<\/span><\/li>\n<\/ul>\n<p><b>GPU as a Service Pricing:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">This is where things diverge dramatically.<\/span><\/p>\n<p><a href=\"https:\/\/cyfuture.cloud\/h100-80gb-pcie-gpu-server\"><span style=\"font-weight: 400;\">H100 GPU<\/span><\/a><span style=\"font-weight: 400;\"> pricing spans a 4.7x range\u2014from USD 1.49 per hour for marketplace spot instances to USD 6.98 per hour for hyperscaler on-demand access. For a single H100 GPU running 24\/7, monthly costs range from USD 1,080 to USD 5,090.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The median on-demand H100 price in March 2026 is approximately USD 2.99 per hour, translating to USD 2,152 monthly for continuous usage.<\/span><\/p>\n<p><b>Here&#8217;s what surprised technical leaders in 2026:<\/b><\/p>\n<p><a href=\"https:\/\/cyfuture.cloud\/gpurental\"><span style=\"font-weight: 400;\">GPU rental prices<\/span><\/a><span style=\"font-weight: 400;\"> have actually become more competitive, with H100 prices dropping 44% between June 2024 and June 2025 due to expanding supply and marketplace competition. Meanwhile, traditional cloud hosting prices have increased 10-15% due to memory component shortages and infrastructure expansion costs.<\/span><\/p>\n<h2><span id=\"The_Real_Cost_Architecture_Beyond_the_Hourly_Rate\"><b>The Real Cost Architecture: Beyond the Hourly Rate<\/b><\/span><\/h2>\n<p><b>What most pricing comparisons miss:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Hidden costs including egress fees, storage, networking, API calls, and minimum commitments can add 20-40% on top of advertised GPU hourly rates.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For traditional cloud hosting, these hidden costs manifest differently:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Data Transfer (Egress)<\/b><span style=\"font-weight: 400;\">: USD 0.01-0.09 per GB, varying by region and usage tier<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>IOPS Charges<\/b><span style=\"font-weight: 400;\">: Premium storage performance adds USD 50-200 monthly<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Support Tiers<\/b><span style=\"font-weight: 400;\">: Enterprise support can add 10-30% to base costs<\/span><\/li>\n<\/ul>\n<p><b>GPU as a Service hidden expenses:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">For AI startups, GPU compute consumes 40-60% of technical budgets in the first two years, but the sticker price tells only part of the story. Factors that amplify costs:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Idle Time Waste<\/b><span style=\"font-weight: 400;\">: Organizations waste 30-50% of GPU budgets on provisioned but unused instances<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Storage Requirements<\/b><span style=\"font-weight: 400;\">: Model checkpoints and datasets cost USD 0.10-0.30 per GB monthly<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Networking Overhead<\/b><span style=\"font-weight: 400;\">: High-speed interconnects for multi-GPU training add premium charges<\/span><\/li>\n<\/ul>\n<h2><span id=\"Use_Case_Economics_When_Each_Model_Makes_Sense\"><b>Use Case Economics: When Each Model Makes Sense<\/b><\/span><\/h2>\n<p><b>Traditional Cloud Hosting Price structures excel for:<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Web Applications<\/b><span style=\"font-weight: 400;\">: E-commerce, SaaS platforms, content management systems<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Database Hosting<\/b><span style=\"font-weight: 400;\">: Transactional workloads with predictable resource consumption<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>API Services<\/b><span style=\"font-weight: 400;\">: RESTful backends serving mobile\/web clients<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Development\/Staging<\/b><span style=\"font-weight: 400;\">: Non-production environments<\/span><\/li>\n<\/ol>\n<p><b>Cost profile<\/b><span style=\"font-weight: 400;\">: USD 100-500 monthly for typical mid-market deployments.<\/span><\/p>\n<p><b>GPU as a Service dominates for:<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>AI Model Training<\/b><span style=\"font-weight: 400;\">: Deep learning, computer vision, NLP model development<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Inference Workloads<\/b><span style=\"font-weight: 400;\">: Real-time ML predictions at scale<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Scientific Computing<\/b><span style=\"font-weight: 400;\">: Molecular dynamics, climate modeling, genomics<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Rendering<\/b><span style=\"font-weight: 400;\">: 3D visualization, video processing, CGI production<\/span><\/li>\n<\/ol>\n<p><b>Cost profile<\/b><span style=\"font-weight: 400;\">: USD 500-10,000+ monthly depending on GPU count and utilization.<\/span><\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-74904 aligncenter\" src=\"https:\/\/cyfuture.cloud\/blog\/cyft-uploads\/2026\/05\/Cyfuture-Cloud-competitive.jpg\" alt=\"GPU Servers\" width=\"700\" height=\"1050\" srcset=\"https:\/\/cyfuture.cloud\/blog\/cyft-uploads\/2026\/05\/Cyfuture-Cloud-competitive.jpg 700w, https:\/\/cyfuture.cloud\/blog\/cyft-uploads\/2026\/05\/Cyfuture-Cloud-competitive-200x300.jpg 200w, https:\/\/cyfuture.cloud\/blog\/cyft-uploads\/2026\/05\/Cyfuture-Cloud-competitive-683x1024.jpg 683w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/p>\n<p>\u00a0<\/p>\n<h2><span id=\"2026_Market_Dynamics_and_Pricing_Trends\"><b>2026 Market Dynamics and Pricing Trends<\/b><\/span><\/h2>\n<p><b>What&#8217;s changing:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The GPU rental market is characterized by greater availability, more predictable pricing, and broader user choice in 2026. Supply constraints that plagued 2023-2024 have substantially eased.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Google Cloud&#8217;s committed use contracts provide up to 57% discounts for 1-3 year commitments, making long-term GPU access increasingly affordable for established workloads.<\/span><\/p>\n<p><b>Emerging pricing models:<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Per-Second Billing<\/b><span style=\"font-weight: 400;\">: Providers offering per-second billing save users 15-30% for bursty workloads compared to hourly billing with idle time<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Spot Instance Maturity<\/b><span style=\"font-weight: 400;\">: More reliable spot markets with 40-60% discounts over on-demand<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Marketplace Aggregation<\/b><span style=\"font-weight: 400;\">: GPU marketplaces pooling capacity offer 3-6x lower prices than hyperscalers<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">&#8220;The 2026 GPU rental landscape is characterized by a wide range of available hardware and more mature pricing patterns across both established and next-generation models.&#8221; &#8211; Silicon Data GPU Market Report, 2026<\/span><\/p>\n<h2><span id=\"Total_Cost_of_Ownership_The_Decision_Framework\"><b>Total Cost of Ownership: The Decision Framework<\/b><\/span><\/h2>\n<p><b>Cloud Hosting Price TCO (36-month horizon):<\/b><\/p>\n<p><span style=\"font-weight: 400;\">For a typical production application requiring 8 vCPU, 32GB RAM, 500GB storage:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Monthly recurring<\/b><span style=\"font-weight: 400;\">: USD 280<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>36-month total<\/b><span style=\"font-weight: 400;\">: USD 10,080<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Bandwidth overages<\/b><span style=\"font-weight: 400;\">: +15-20%<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Support contracts<\/b><span style=\"font-weight: 400;\">: +10-15%<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>True TCO<\/b><span style=\"font-weight: 400;\">: ~USD 12,600-13,800<\/span><\/li>\n<\/ul>\n<p><b>GPU as a Service TCO (same period):<\/b><\/p>\n<p><span style=\"font-weight: 400;\">For ML development requiring 1x H100 GPU at 50% utilization:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Compute (720 hours\/month at USD 2.65\/hour)<\/b><span style=\"font-weight: 400;\">: USD 1,908<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Storage (5TB datasets)<\/b><span style=\"font-weight: 400;\">: USD 750<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Bandwidth<\/b><span style=\"font-weight: 400;\">: USD 200<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>36-month total<\/b><span style=\"font-weight: 400;\">: USD 102,888<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The 8-10x cost differential explains why workload optimization matters critically for GPU deployments.<\/span><\/p>\n<h2><span id=\"Optimization_Strategies_That_Actually_Work\"><b>Optimization Strategies That Actually Work<\/b><\/span><\/h2>\n<p><b>For traditional cloud hosting:<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Right-sizing<\/b><span style=\"font-weight: 400;\">: Automated Kubernetes services reduce operational overhead and enable efficient resource scaling<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Reserved Capacity<\/b><span style=\"font-weight: 400;\">: 30-70% savings for predictable workloads<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Multi-cloud Arbitrage<\/b><span style=\"font-weight: 400;\">: Leverage pricing variations across providers<\/span><\/li>\n<\/ol>\n<p><b>For GPU as a Service:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Five strategies can reduce cloud GPU spending by 40%: spot instances, right-sizing, scheduling, marketplace migration, and reserved capacity. Cyfuture Cloud&#8217;s orchestration platform automates most of these optimizations.<\/span><\/p>\n<p><b>Practical implementation:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Development\/Testing<\/b><span style=\"font-weight: 400;\">: Use CPU instances or budget GPU tiers (T4, A100)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Training<\/b><span style=\"font-weight: 400;\">: Leverage spot instances with checkpoint-based recovery<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Inference<\/b><span style=\"font-weight: 400;\">: Right-size GPU selection to actual throughput requirements<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Hybrid Approach<\/b><span style=\"font-weight: 400;\">: Run inference on CPUs for low-volume predictions, GPUs for batch processing<\/span><\/li>\n<\/ul>\n<h2><span id=\"The_2026_Reality_Check\"><b>The 2026 Reality Check<\/b><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Here&#8217;s what technical leaders need to understand:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Cloud Hosting Price and <\/span><a href=\"https:\/\/cyfuture.cloud\/gpu-as-a-service\"><span style=\"font-weight: 400;\">GPU as a Service<\/span><\/a><span style=\"font-weight: 400;\"> serve fundamentally different computational paradigms. The pricing gap\u2014typically 5-15x higher for GPU infrastructure\u2014reflects hardware economics, not vendor markup.<\/span><\/p>\n<p><b>Decision heuristics:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>If your workload is CPU-bound<\/b><span style=\"font-weight: 400;\"> (web apps, APIs, databases): Traditional <\/span><a href=\"https:\/\/cyfuture.cloud\/\"><span style=\"font-weight: 400;\">cloud hosting<\/span><\/a><span style=\"font-weight: 400;\"> at USD 100-500\/month delivers optimal economics<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>If you&#8217;re processing matrices<\/b><span style=\"font-weight: 400;\"> (neural networks, scientific computing): GPU as a Service at USD 1,000-5,000\/month is unavoidable for competitive performance<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>If you have mixed requirements<\/b><span style=\"font-weight: 400;\">: Hybrid architectures utilizing both tiers provide the best TCO<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Cyfuture Cloud&#8217;s integrated platform allows organizations to deploy both infrastructure types under unified management, billing, and orchestration\u2014eliminating the architectural complexity that typically accompanies multi-tier deployments.<\/span><\/p>\n<h2><span id=\"Architect_Your_Infrastructure_Economics_with_Cyfuture_Cloud8217s_Intelligent_Platform\"><b>Architect Your Infrastructure Economics with Cyfuture Cloud&#8217;s Intelligent Platform<\/b><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Understanding Cloud Hosting Price versus GPU as a Service costs isn&#8217;t academic\u2014it&#8217;s fundamental to sustainable infrastructure economics.<\/span><\/p>\n<p><b>The data reveals clear patterns:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Traditional cloud hosting at USD 100-500 monthly serves general-purpose compute admirably. GPU as a Service, commanding USD 1,000-5,000+ monthly, delivers unavoidable advantages for parallel processing workloads.<\/span><\/p>\n<p><b>What separates winning strategies from budget overruns?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Precise workload-to-infrastructure matching. Organizations that deploy CPUs for CPU-bound tasks and reserve GPUs exclusively for GPU-accelerated workloads achieve 40-60% better unit economics than those making arbitrary technology selections.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Cyfuture Cloud&#8217;s platform intelligence automates these optimization decisions\u2014routing workloads to optimal infrastructure tiers, eliminating idle resource waste, and providing unified visibility across your entire compute estate.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Table of ContentsWhat Is Cloud Hosting Price?Understanding the 2026 Pricing LandscapeThe Real Cost Architecture: Beyond the Hourly RateUse Case Economics: When Each Model Makes Sense2026 Market Dynamics and Pricing TrendsTotal Cost of Ownership: The Decision FrameworkOptimization Strategies That Actually WorkThe 2026 Reality CheckArchitect Your Infrastructure Economics with Cyfuture Cloud&#8217;s Intelligent Platform Cloud Hosting Price structures [&hellip;]<\/p>\n","protected":false},"author":29,"featured_media":74906,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[508],"tags":[943,529],"acf":[],"_links":{"self":[{"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/posts\/74901"}],"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=74901"}],"version-history":[{"count":7,"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/posts\/74901\/revisions"}],"predecessor-version":[{"id":74912,"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/posts\/74901\/revisions\/74912"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/media\/74906"}],"wp:attachment":[{"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/media?parent=74901"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/categories?post=74901"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cyfuture.cloud\/blog\/wp-json\/wp\/v2\/tags?post=74901"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}