{"id":20180,"date":"2026-08-17T11:54:03","date_gmt":"2026-08-17T07:54:03","guid":{"rendered":"https:\/\/blog.temok.com\/?p=20180"},"modified":"2026-08-17T11:54:03","modified_gmt":"2026-08-17T07:54:03","slug":"rtx-5070-ti-vs-5080","status":"publish","type":"post","link":"https:\/\/www.temok.com\/blog\/rtx-5070-ti-vs-5080\/","title":{"rendered":"RTX 5070 Ti vs 5080: Powerful Comparison For Gaming And AI"},"content":{"rendered":"<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\"><\/span> <span class=\"rt-time\"> 9<\/span> <span class=\"rt-label rt-postfix\">min read<\/span><\/span><p>Building a premium PC in 2026 might become faster and more complicated between these two GPUs. The RTX 5070 Ti vs 5080 debate goes beyond just picking the fastest graphics card.<\/p>\n<p>The RTX 5070 Ti vs RTX 5080\u00a0comparison is quite challenging because both are based on NVIDIA\u00a0Blackwell architecture, have 16 GB of GDDR7 memory, and provide exceptional performance for 4K\u00a0gaming, AI, and creative tasks. The difference between them is real, but not great, and the price difference makes this comparison more complicated than most people anticipate.<\/p>\n<p>This guide\u00a0compares all-important RTX 5080 vs 5070 Ti\u00a0dimensions, including specifications, 1440p gaming, 4K gaming, GPU inference, AI workloads, power needs, and real-world use. By the end, you&#8217;ll know which cards go in your build.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_86 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" 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: #999;color:#999\" 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><\/span><\/a><\/span><\/div>\n<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:\/\/www.temok.com\/blog\/rtx-5070-ti-vs-5080\/#Key_Takeaways\" >Key Takeaways<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.temok.com\/blog\/rtx-5070-ti-vs-5080\/#RTX_5070_Ti_vs_5080_Quick_Specs_Comparison\" >RTX 5070 Ti vs 5080: Quick Specs Comparison<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.temok.com\/blog\/rtx-5070-ti-vs-5080\/#Key_Differences_Between_RTX_5070_Ti_and_RTX_5080\" >Key Differences Between RTX 5070 Ti and RTX 5080<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.temok.com\/blog\/rtx-5070-ti-vs-5080\/#RTX_5070_Ti_vs_5080_Gaming_Performance\" >RTX 5070 Ti vs 5080 Gaming Performance<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.temok.com\/blog\/rtx-5070-ti-vs-5080\/#RTX_5070_Ti_vs_5080_For_AI_and_Machine_Learning\" >RTX 5070 Ti vs 5080 For AI and Machine Learning<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.temok.com\/blog\/rtx-5070-ti-vs-5080\/#RTX_5070_Ti_vs_5080_For_Content_Creation\" >RTX 5070 Ti vs 5080 For Content Creation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.temok.com\/blog\/rtx-5070-ti-vs-5080\/#RTX_5080_vs_5070_Ti_Power_Consumption_Cooling_and_System_Requirements\" >RTX 5080 vs 5070 Ti: Power Consumption, Cooling, and System Requirements<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.temok.com\/blog\/rtx-5070-ti-vs-5080\/#RTX_5070_Ti_vs_5080_Price_and_Value_Comparison\" >RTX 5070 Ti vs 5080: Price and Value Comparison<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.temok.com\/blog\/rtx-5070-ti-vs-5080\/#RTX_5070_Ti_vs_5080_Pros_and_Cons\" >RTX 5070 Ti vs 5080: Pros and Cons<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.temok.com\/blog\/rtx-5070-ti-vs-5080\/#RTX_5070_Ti_vs_5080_Which_Should_You_Choose\" >RTX 5070 Ti vs 5080: Which Should You Choose?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.temok.com\/blog\/rtx-5070-ti-vs-5080\/#FAQS_Frequently_Asked_Questions\" >FAQS (Frequently Asked Questions)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.temok.com\/blog\/rtx-5070-ti-vs-5080\/#Conclusion\" >Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Key_Takeaways\"><\/span><strong>Key Takeaways<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<blockquote>\n<ul>\n<li>The <strong>RTX 5080 has more CUDA cores<\/strong> (10,752 vs 8,960) and <strong>greater AI TOPS<\/strong> (1,801 vs 1,406), providing a noticeable computing advantage.<\/li>\n<li>Both cards feature <strong>16 GB of GDDR7 on a 256-bit interface<\/strong>, but neither wins on raw VRAM capacity.<\/li>\n<li>The <strong>RTX 5070 Ti starts at $749<\/strong>, but NVIDIA initially priced the <strong>RTX 5080 at $999<\/strong>.<\/li>\n<li>For <strong>RTX 5070 Ti vs 5080 gaming<\/strong>, the <strong>5080 is stronger<\/strong>, especially at demanding 4K settings.<\/li>\n<li>The <strong>RTX 5070 Ti<\/strong> offers powerful <strong>1440p gaming and competent 4K gaming<\/strong> at a lower price, making it the best value option for most purchasers.<\/li>\n<li>Both support DLSS 4, Multi Frame Generation, Reflex 2, and PCIe 5.0 on the same <strong>NVIDIA Blackwell platform<\/strong>.<\/li>\n<li>NVIDIA lists <strong>960 GB\/s memory bandwidth<\/strong> for the RTX 5080 versus <strong>896 GB\/s<\/strong> for the RTX 5070 Ti.<\/li>\n<\/ul>\n<\/blockquote>\n<h2><span class=\"ez-toc-section\" id=\"RTX_5070_Ti_vs_5080_Quick_Specs_Comparison\"><\/span><strong>RTX 5070 Ti vs 5080: Quick Specs Comparison<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Before getting into actual performance variances, it helps to know how these two GPUs stack up on paper. The specifications demonstrate how NVIDIA rates every card in terms of raw power, memory, and efficiency.<\/p>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-20185 size-large\" src=\"https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Quick-Specs-Comparison.webp?resize=1024%2C576&#038;ssl=1\" alt=\"RTX 5070 Ti vs 5080 Quick Specs Comparison\" width=\"1024\" height=\"576\" srcset=\"https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Quick-Specs-Comparison.webp?resize=1024%2C576&amp;ssl=1 1024w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Quick-Specs-Comparison.webp?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Quick-Specs-Comparison.webp?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Quick-Specs-Comparison.webp?resize=24%2C14&amp;ssl=1 24w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Quick-Specs-Comparison.webp?resize=36%2C20&amp;ssl=1 36w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Quick-Specs-Comparison.webp?resize=48%2C27&amp;ssl=1 48w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Quick-Specs-Comparison.webp?w=1318&amp;ssl=1 1318w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<table style=\"border-collapse: collapse; width: 100%; height: 429px;\">\n<tbody>\n<tr style=\"height: 37px;\">\n<th style=\"border: 1px solid #000000; background-color: #ff6d5a; padding: 8px; text-align: center; font-weight: bold; width: 27.0693%; height: 40px;\">Specification<\/th>\n<th style=\"border: 1px solid #000000; background-color: #ff6d5a; padding: 8px; text-align: center; font-weight: bold; width: 30.2013%; height: 40px;\">RTX 5070 Ti<\/th>\n<th style=\"border: 1px solid #000000; background-color: #ff6d5a; padding: 8px; text-align: center; font-weight: bold; width: 22.9307%; height: 40px;\">RTX 5080<\/th>\n<\/tr>\n<tr style=\"height: 35px;\">\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 27.0693%; height: 37px;\"><strong>Architecture<\/strong><\/td>\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 30.2013%; height: 37px;\">NVIDIA Blackwell<\/td>\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 22.9307%; height: 37px;\">NVIDIA Blackwell<\/td>\n<\/tr>\n<tr style=\"height: 35px;\">\n<td style=\"border: 1px solid #000000; background-color: #9fafcb; padding: 8px; text-align: center; width: 27.0693%; height: 35px;\"><strong>CUDA Cores<\/strong><\/td>\n<td style=\"border: 1px solid #000000; background-color: #9fafcb; padding: 8px; text-align: center; width: 30.2013%; height: 35px;\">8,960<\/td>\n<td style=\"border: 1px solid #000000; background-color: #9fafcb; padding: 8px; text-align: center; width: 22.9307%; height: 35px;\">10,752<\/td>\n<\/tr>\n<tr style=\"height: 35px;\">\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 27.0693%; height: 35px;\"><strong>VRAM<\/strong><\/td>\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 30.2013%; height: 35px;\">16 GB GDDR7<\/td>\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 22.9307%; height: 35px;\">16 GB GDDR7<\/td>\n<\/tr>\n<tr style=\"height: 35px;\">\n<td style=\"border: 1px solid #000000; background-color: #9fafcb; padding: 8px; text-align: center; width: 27.0693%; height: 35px;\"><strong>Memory Interface<\/strong><\/td>\n<td style=\"border: 1px solid #000000; background-color: #9fafcb; padding: 8px; text-align: center; width: 30.2013%; height: 35px;\">256-bit<\/td>\n<td style=\"border: 1px solid #000000; background-color: #9fafcb; padding: 8px; text-align: center; width: 22.9307%; height: 35px;\">256-bit<\/td>\n<\/tr>\n<tr style=\"height: 35px;\">\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 27.0693%; height: 35px;\"><strong>Memory Bandwidth<\/strong><\/td>\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 30.2013%; height: 35px;\">896 GB\/s<\/td>\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 22.9307%; height: 35px;\">960 GB\/s<\/td>\n<\/tr>\n<tr style=\"height: 35px;\">\n<td style=\"border: 1px solid #000000; background-color: #9fafcb; padding: 8px; text-align: center; width: 27.0693%; height: 35px;\"><strong>AI TOPS<\/strong><\/td>\n<td style=\"border: 1px solid #000000; background-color: #9fafcb; padding: 8px; text-align: center; width: 30.2013%; height: 35px;\">1,406<\/td>\n<td style=\"border: 1px solid #000000; background-color: #9fafcb; padding: 8px; text-align: center; width: 22.9307%; height: 35px;\">1,801<\/td>\n<\/tr>\n<tr style=\"height: 35px;\">\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 27.0693%; height: 35px;\"><strong>Boost Clock<\/strong><\/td>\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 30.2013%; height: 35px;\">2.45 GHz<\/td>\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 22.9307%; height: 35px;\">2.62 GHz<\/td>\n<\/tr>\n<tr style=\"height: 35px;\">\n<td style=\"border: 1px solid #000000; background-color: #9fafcb; padding: 8px; text-align: center; width: 27.0693%; height: 35px;\"><strong>Tensor Cores<\/strong><\/td>\n<td style=\"border: 1px solid #000000; background-color: #9fafcb; padding: 8px; text-align: center; width: 30.2013%; height: 35px;\">5th Gen<\/td>\n<td style=\"border: 1px solid #000000; background-color: #9fafcb; padding: 8px; text-align: center; width: 22.9307%; height: 35px;\">5th Gen<\/td>\n<\/tr>\n<tr style=\"height: 35px;\">\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 27.0693%; height: 35px;\"><strong>Ray Tracing Cores<\/strong><\/td>\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 30.2013%; height: 35px;\">4th Gen<\/td>\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 22.9307%; height: 35px;\">4th Gen<\/td>\n<\/tr>\n<tr style=\"height: 35px;\">\n<td style=\"border: 1px solid #000000; background-color: #9fafcb; padding: 8px; text-align: center; width: 27.0693%; height: 35px;\"><strong>PCIe<\/strong><\/td>\n<td style=\"border: 1px solid #000000; background-color: #9fafcb; padding: 8px; text-align: center; width: 30.2013%; height: 35px;\">PCIe 5.0<\/td>\n<td style=\"border: 1px solid #000000; background-color: #9fafcb; padding: 8px; text-align: center; width: 22.9307%; height: 35px;\">PCIe 5.0<\/td>\n<\/tr>\n<tr style=\"height: 35px;\">\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 27.0693%; height: 37px;\"><strong>DLSS<\/strong><\/td>\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 30.2013%; height: 37px;\">DLSS 4 ecosystem<\/td>\n<td style=\"border: 1px solid #000000; background-color: #ffffff; padding: 8px; text-align: center; width: 22.9307%; height: 37px;\">DLSS 4 ecosystem<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>NVIDIA&#8217;s current specifications list 8,960 CUDA cores and 896 GB\/s of bandwidth for the RTX 5070 Ti, compared to 10,752 CUDA cores and 960 GB\/s for the RTX 5080. Both include 16 GB of GDDR7 RAM.<\/p>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-20186 size-large\" src=\"https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Quick-Specs-Comparison-1.webp?resize=1024%2C860&#038;ssl=1\" alt=\"RTX 5070 Ti vs 5080 Quick Specs Comparison 1\" width=\"1024\" height=\"860\" srcset=\"https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Quick-Specs-Comparison-1.webp?resize=1024%2C860&amp;ssl=1 1024w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Quick-Specs-Comparison-1.webp?resize=300%2C252&amp;ssl=1 300w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Quick-Specs-Comparison-1.webp?resize=768%2C645&amp;ssl=1 768w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Quick-Specs-Comparison-1.webp?resize=24%2C20&amp;ssl=1 24w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Quick-Specs-Comparison-1.webp?resize=36%2C30&amp;ssl=1 36w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Quick-Specs-Comparison-1.webp?resize=48%2C40&amp;ssl=1 48w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Quick-Specs-Comparison-1.webp?w=1099&amp;ssl=1 1099w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>The key takeaway from this RTX 5070 Ti vs 5080 specs\u00a0comparison is that the 5080&#8217;s benefit stems from more computational resources and bandwidth, not greater VRAM.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Key_Differences_Between_RTX_5070_Ti_and_RTX_5080\"><\/span><strong>Key Differences Between RTX 5070 Ti and RTX 5080<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The RTX 5070 Ti concentrates on offering near-flagship capabilities at a cheaper cost, while the RTX 5080 is intended for customers who desire maximal performance headroom. Rather than in daily usage, the real-world difference is more apparent in demanding gaming, graphics, and AI tasks.<\/p>\n<h3><strong>1. <\/strong><strong>CUDA and Compute Performance<\/strong><\/h3>\n<p>The RTX 5080 contains 1,792 additional CUDA cores than the RTX 5070 Ti. This is around a 20% increase in raw compute units.<\/p>\n<p>In GPU-limited workloads such as intense 4K <a title=\"gaming environments\" href=\"https:\/\/www.temok.com\/blog\/cloud-gaming-and-dedicated-servers\/\" target=\"_blank\" rel=\"noopener\">gaming environments<\/a>, ray tracing cores, Blender rendering, and CUDA computational applications, the core count disparity results in a continuous performance advantage. For workloads that are not completely GPU-limited, the gap narrows.<\/p>\n<h3><strong>2. <\/strong><strong>Memory and Bandwidth<\/strong><\/h3>\n<p>Both GPUs have 16 GB of GDDR7 and a 256-bit memory interface. This makes the RTX 5070 Ti versus 5080 VRAM comparison more fascinating.<\/p>\n<p>The 5080 does not offer a bigger memory pool. Instead, it provides 960 GB\/s of <a title=\"memory bandwidth\" href=\"https:\/\/www.temok.com\/blog\/bandwidth-plan-for-dedicated-server\/\" target=\"_blank\" rel=\"noopener\">memory bandwidth<\/a>, compared to 896 GB\/s for the 5070 Ti.<\/p>\n<p>When workloads transmit significant quantities of data between GPU cores and memory, this additional bandwidth might be useful.<\/p>\n<h3><strong>3. <\/strong><strong>Clock Speeds<\/strong><\/h3>\n<p>While comparing the RTX 5070 Ti vs 5080, the RTX 5080 rises to 2.62 GHz, compared to 2.45 GHz for the RTX 5070 Ti. When combined with its greater CUDA core count, the clock speed advantage widens the total computing disparity.<\/p>\n<h3><strong>4. <\/strong><strong>AI and Tensor Performance<\/strong><\/h3>\n<p>The RTX 5080 achieves 1,801 AI TOPS, whereas the RTX 5070 Ti produces 1,406. Both employ 5th-generation Tensor cores.<\/p>\n<p>The 5080 accelerates <a title=\"PyTorch GPU\" href=\"https:\/\/www.temok.com\/pytorch-gpu-hosting\" target=\"_blank\" rel=\"noopener\">PyTorch GPU<\/a> training, <a title=\"Stable Diffusion\" href=\"https:\/\/www.temok.com\/stable-diffusion-hosting\" target=\"_blank\" rel=\"noopener\">Stable Diffusion<\/a> image generation,\u00a0GPU inference with <a title=\"Ollama Local LLM\" href=\"https:\/\/www.temok.com\/ollama-hosting\" target=\"_blank\" rel=\"noopener\">Ollama Local LLM<\/a> or <a title=\"LM Studio\" href=\"https:\/\/www.temok.com\/lm-studio-hosting\" target=\"_blank\" rel=\"noopener\">LM Studio<\/a>, and other generative AI tasks. The practical impact is greatly dependent on whether your job is completely compute-bound or somewhat memory-bound.<\/p>\n<h3><strong>5. <\/strong><strong>Power Requirements<\/strong><\/h3>\n<p>The RTX 5080 consumes more power than the RTX 5070 Ti because of the greater GPU power consumption at peak load. The majority of 5080 setups require an 850W to 1000W power supply.<\/p>\n<p>Most system configurations allow the 5070 Ti to run satisfactorily on an 850W unit. AIB models differ; therefore, always verify the card&#8217;s TDP before selecting a PSU. That makes the RTX 5070 Ti vs 5080 power consumption difference worth considering before buying.<\/p>\n<p>Also Read: <a title=\"TPU vs GPU: Ultimate Comparison For Smart AI Workloads\" href=\"https:\/\/www.temok.com\/blog\/tpu-vs-gpu\/\" target=\"_blank\" rel=\"noopener\">TPU vs GPU: Ultimate Comparison For Smart AI Workloads<\/a><\/p>\n<h2><span class=\"ez-toc-section\" id=\"RTX_5070_Ti_vs_5080_Gaming_Performance\"><\/span><strong>RTX 5070 Ti vs 5080 Gaming Performance<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Gaming is where most buyers will perceive a difference.<\/p>\n<p>The RTX 5080 is the fastest GPU, and this advantage becomes more significant as resolution and graphical settings increase. As a result, your display plays a significant role in deciding between the RTX 5080 vs 5070 Ti gaming cards. Here are some of the gaming differences you must know:<\/p>\n<h3><strong>1. <\/strong><strong>1440p Gaming<\/strong><\/h3>\n<ul>\n<li>At 1440p, the RTX 5070 Ti is already a great high-end alternative. It is appropriate for high refresh rate gaming and demanding settings in many recent games.<\/li>\n<li>The 5080 offers more headroom, but the difference may not warrant a significant price rise if you mostly play competitive or less demanding games.<\/li>\n<\/ul>\n<h3><strong>2. <\/strong><strong>4K gaming<\/strong><\/h3>\n<ul>\n<li>In 4K games, the difference is kind of more noticeable, actually. The RTX 5080 has more CUDA cores, plus better memory bandwidth, so you get more constant framerates at 4K, especially in the hard titles where ray tracing is turned on. It feels smoother, not just a little, even when things get heavy.<\/li>\n<li>For gamers looking to achieve 60 to 80 fps at full 4K settings, the 5080 offers a more stable buffer against future title demands.<\/li>\n<\/ul>\n<h3><strong>3. <\/strong><strong>Ray Tracing<\/strong><\/h3>\n<ul>\n<li><a title=\"Ray tracing\" href=\"https:\/\/www.unrealengine.com\/explainers\/ray-tracing\/what-is-real-time-ray-tracing\" target=\"_blank\" rel=\"noopener\">Ray tracing<\/a> speed improves with more computing and ray tracing cores. The RTX 5080 performs better in complicated RT lighting situations, particularly at 4K.<\/li>\n<li>With the DLSS 4 quality option set, both GPUs perform well in 1440p ray tracing.<\/li>\n<\/ul>\n<h3><strong>4. <\/strong><strong>DLSS and Multi-Frame Generation<\/strong><\/h3>\n<ul>\n<li>Both RTX 5070 Ti vs 5080 cards support DLSS 4 and multi-frame generation. Frame generation allows both GPUs to increase output frame rates in compatible games considerably.<\/li>\n<li>Reflex 2 decreases system latency for both. These methods essentially level the playing field at mid-to-high settings, making the raw rasterization disparity less noticeable in real gaming.<\/li>\n<\/ul>\n<h3><strong>5. <\/strong><strong>VR Gaming<\/strong><\/h3>\n<ul>\n<li>For VR gaming, both GPUs with the NVIDIA\u00a0Blackwell architecture support DLSS and frame generation. The RTX 5070 Ti supports current headsets at high refresh rates, providing smooth performance in most titles while keeping power consumption low.<\/li>\n<li>The RTX 5080 increases CUDA cores and bandwidth, which improves stability in demanding high-resolution or ray-traced VR. It is more suitable for hobbyists and future VR headsets.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"RTX_5070_Ti_vs_5080_For_AI_and_Machine_Learning\"><\/span><strong>RTX 5070 Ti vs 5080 For AI and Machine Learning<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-20189\" src=\"https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-For-AI-and-Machine-Learning.webp?resize=750%2C500&#038;ssl=1\" alt=\"RTX 5070 Ti vs 5080 For AI and Machine Learning\" width=\"750\" height=\"500\" srcset=\"https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-For-AI-and-Machine-Learning.webp?w=750&amp;ssl=1 750w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-For-AI-and-Machine-Learning.webp?resize=300%2C200&amp;ssl=1 300w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-For-AI-and-Machine-Learning.webp?resize=24%2C16&amp;ssl=1 24w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-For-AI-and-Machine-Learning.webp?resize=36%2C24&amp;ssl=1 36w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-For-AI-and-Machine-Learning.webp?resize=48%2C32&amp;ssl=1 48w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/><\/p>\n<p>This is where the RTX 5070 Ti vs 5080 AI\u00a0comparison becomes most useful for developers and researchers who run local workloads.<\/p>\n<p>Both GPUs include native support for CUDA, PyTorch, Ollama, and LM Studio. Both support Stable Diffusion and other <a title=\"generative AI\" href=\"https:\/\/www.temok.com\/blog\/business-generative-ai\/\" target=\"_blank\" rel=\"noopener\">generative AI<\/a> image-generating methods. The RTX 5080 creates pictures and does model inference more quickly because of its better AI TOPS, Tensor Core throughput, and memory bandwidth.<\/p>\n<p>This means that the RTX 5080 is not a solution for VRAM restrictions. It is a speedier engine for workloads that are already compatible. For <a title=\"GPU inference\" href=\"https:\/\/www.temok.com\/gpu-servers\" target=\"_blank\" rel=\"noopener\">GPU inference<\/a> with quantized models, Stable Diffusion pipelines, and smaller local LLM installations, the 5080 is quicker, while the 5070 Ti is more powerful.<\/p>\n<p>Because it has more CUDA cores, the 5080 completes complex situations in Blender GPU rendering more quickly. For NVENC video encoding, both GPUs use the same ninth-generation encoder architecture. Compared to pure compute tasks, the performance disparity in video encoding workloads is less.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"RTX_5070_Ti_vs_5080_For_Content_Creation\"><\/span><strong>RTX 5070 Ti vs 5080 For Content Creation<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>In order to expedite timeline rendering and effects processing during video editing, both GPUs take advantage of CUDA and hardware acceleration. The RTX 5080 exports more quickly and can handle GPU-intensive effects. The majority of 1080p and 4K editing procedures work nicely with the RTX 5070 Ti.<\/p>\n<p>Blender and comparable programs can generate 3D images more quickly thanks to the 5080&#8217;s advantage in core count. The 5080 is worth the cost if rendering is a regular professional activity. The 5070 Ti offers superior performance at a lower cost when rendering is sometimes done in addition to other duties.<\/p>\n<p>Both cards feature AI-assisted creative tools, including real-time de-noising, DLSS 4 in supported creative apps, and Tensor-powered AI upscaling pipelines. The experience is fantastic on both cards.<\/p>\n<p>Also Read: <a title=\"Why Choose Temok Technologies For Enterprise AI Hosting and GPU Infrastructure\" href=\"https:\/\/www.temok.com\/blog\/enterprise-ai-hosting-and-gpu-infrastructure\/\" target=\"_blank\" rel=\"noopener\">Why Choose Temok Technologies For Enterprise AI Hosting and GPU Infrastructure<\/a><\/p>\n<h2><span class=\"ez-toc-section\" id=\"RTX_5080_vs_5070_Ti_Power_Consumption_Cooling_and_System_Requirements\"><\/span><strong>RTX 5080 vs 5070 Ti: Power Consumption, Cooling, and System Requirements<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The RTX 5070 Ti vs 5080 benchmark comparison should not end at the graphics card pricing.<\/p>\n<p>A more powerful GPU may need stronger PSU requirements, improved case ventilation, and more competent cooling.<\/p>\n<p>The RTX 5080 has a Total Graphics Power rating of 360 W, compared to 300 W for the 5070 Ti. NVIDIA recommends 850 W of system power for the 5080 and 750 W for the 5070 Ti.<\/p>\n<p>You should also check:<\/p>\n<ul>\n<li>GPU length and thickness<\/li>\n<li>PSU connections<\/li>\n<li>Case clearance<\/li>\n<li>CPU capabilities<\/li>\n<li>Motherboard PCIe compatibility<\/li>\n<li>Case airflow<\/li>\n<\/ul>\n<p>Both use PCIe 5.0, making platform compatibility easy for newer computers.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"RTX_5070_Ti_vs_5080_Price_and_Value_Comparison\"><\/span><strong>RTX 5070 Ti vs 5080: Price and Value Comparison<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>NVIDIA priced the RTX 5070 Ti below the RTX 5080 in its reference pricing structure. The main question in 2026 is the difference in street prices between the two cards at the time of acquisition.<\/p>\n<p>NVIDIA initially priced the RTX 5070 Ti at $749 and the RTX 5080 at $999.<\/p>\n<p>That means the launch price difference is around $250.<\/p>\n<p>However, the RTX 5070 Ti vs 5080 price comparison becomes more challenging in 2026 since real retail costs vary according to manufacturer, availability, area, and market circumstances.<\/p>\n<p>The RTX 5070 Ti is still listed on NVIDIA&#8217;s webpages as beginning at $749, and the 5080 is at $999, but actual prices may vary. The price of the RTX 50-series is still variable, according to recent market coverage for 2026. Comparing the actual price difference on the day of purchase is the most efficient method.<\/p>\n<p>The additional performance is easier to justify if a 5080 is only somewhat more expensive. The 5070 Ti frequently has a better price-to-performance justification if the price gap becomes noticeable.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"RTX_5070_Ti_vs_5080_Pros_and_Cons\"><\/span><strong>RTX 5070 Ti vs 5080: Pros and Cons<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-20190\" src=\"https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Pros-and-Cons.webp?resize=750%2C500&#038;ssl=1\" alt=\"RTX 5070 Ti vs 5080 Pros and Cons\" width=\"750\" height=\"500\" srcset=\"https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Pros-and-Cons.webp?w=750&amp;ssl=1 750w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Pros-and-Cons.webp?resize=300%2C200&amp;ssl=1 300w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Pros-and-Cons.webp?resize=24%2C16&amp;ssl=1 24w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Pros-and-Cons.webp?resize=36%2C24&amp;ssl=1 36w, https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080-Pros-and-Cons.webp?resize=48%2C32&amp;ssl=1 48w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/><\/p>\n<p>Here are the pros and cons you must know before considering buying between the two:<\/p>\n<h3><strong>RTX 5070i<\/strong><\/h3>\n<h4><strong>Pros<\/strong><\/h4>\n<ul>\n<li>Lower purchasing costs with superior price-to-performance in most combinations.<\/li>\n<li>Same 16 GB GDDR7 VRAM as the 5080, no sacrifice in memory capacity.<\/li>\n<li>Excellent 1440p gaming and good 4K gaming on non-maximum settings.<\/li>\n<li>Capable AI TOPS for local LLM inference and Stable Diffusion operations.<\/li>\n<li>RTX 5070 Ti reduces GPU power consumption and simplifies PSU size.<\/li>\n<\/ul>\n<h4><strong>Cons<\/strong><\/h4>\n<ul>\n<li>Lower CUDA core counts restrict maximum <a title=\"computing power\" href=\"https:\/\/www.temok.com\/blog\/computing-power-technology\/\" target=\"_blank\" rel=\"noopener\">computing power<\/a>.<\/li>\n<li>Lower AI TOPS indicates slower inference on the same model.<\/li>\n<li>Reduced headroom for the most demanding 4K gaming and ray tracing applications.<\/li>\n<\/ul>\n<h3><strong>RTX 5080<\/strong><\/h3>\n<h4><strong>Pros<\/strong><\/h4>\n<ul>\n<li>Better general performance for creative, artificial intelligence, and gaming workloads.<\/li>\n<li>More CUDA cores and more AI TOPS for compute-intensive tasks.<\/li>\n<li>Ray tracing enabled improved sustained 4K gaming performance.<\/li>\n<li>Increased memory bandwidth improves both gameplay and GPU inference.<\/li>\n<\/ul>\n<h4><strong>Cons<\/strong><\/h4>\n<ul>\n<li>Higher pricing with a premium that may not equal the performance improvement for all users.<\/li>\n<li>Because both GPUs share 16 GB of VRAM, the 5080 cannot handle AI tasks with restricted capacity.<\/li>\n<li>Higher GPU power consumption necessitates a more robust PSU and cooling design.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"RTX_5070_Ti_vs_5080_Which_Should_You_Choose\"><\/span><strong>RTX 5070 Ti vs 5080: Which Should You Choose?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Choosing between RTX 5070 Ti vs 5080 depends on your priorities.<\/p>\n<h3><strong>Choose\u00a0the RTX 5070 Ti if:<\/strong><\/h3>\n<ul>\n<li>You favor price-performance ratios above absolute benchmark rankings.<\/li>\n<li>You usually play at 1440p or 4K with the DLSS 4 quality option.<\/li>\n<li>Your local LLM and AI tasks will fit neatly inside 16 GB VRAM.<\/li>\n<li>You don&#8217;t want to pay the 5080 premium for decent gaming and creator performance.<\/li>\n<\/ul>\n<h3><strong>Choose the RTX 5080 if:<\/strong><\/h3>\n<ul>\n<li>Maximum performance in 4K gaming is your ultimate goal.<\/li>\n<li>You utilize ray tracing intensively and seek consistently high framerates.<\/li>\n<li>Faster inference saves a lot of time when you run compute-intensive workloads like PyTorch, Blender, or Stable Diffusion.<\/li>\n<li>Higher GPU power consumption and pricing are reasonable trade-offs.<\/li>\n<\/ul>\n<p>For <a title=\"AI hosting\" href=\"https:\/\/www.temok.com\/ai-hosting\" target=\"_blank\" rel=\"noopener\">AI hosting<\/a> or GPU server workloads, raw speed should not be the only consideration.\u00a0\u00a0 Evaluate VRAM capacity, model size, concurrency, power effectiveness, CUDA compatibility, sustained workload behavior, and whether consumer GeForce hardware is suitable for the server environment.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"FAQS_Frequently_Asked_Questions\"><\/span><strong>FAQS (Frequently Asked Questions)<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><strong>How Much Better Is 5080 Than 5070 Ti?<\/strong><\/h3>\n<p>In most RTX 5070 Ti vs 5080 4K gaming and computational workloads, the RTX 5080 outperforms the RTX 5070 Ti by about 15% to 20%. For 1440p gaming, the margin is minimal because both GPUs can handle this resolution well. The 5080 has a 28% advantage in AI TOPS, which is more important for Tensor core workloads than for VRAM-limited jobs.<\/p>\n<h3><strong>Is It Worth Upgrading from RTX 5070 To RTX 5080?<\/strong><\/h3>\n<p>Upgrading from an RTX 5070 to an RTX 5080 is typically not worthwhile unless you play at native 4K, want maxed-out path tracing, or need more professional computation.<\/p>\n<h3><strong>Is 5070 Ti Stronger Than 4080 Super?<\/strong><\/h3>\n<p>In raw, classic rasterized gaming and pure computational tasks, the RTX 4080 Super is somewhat stronger (approximately 3% to 5% quicker than the RTX 5070 Ti).<\/p>\n<h3><strong>Is 5070 Ti Enough for 4k Gaming?<\/strong><\/h3>\n<p>Yes. The RTX 5070 Ti is capable of 4K gaming, especially when compatible titles employ DLSS. Users looking for the best native or ray-traced 4K performance should pick the RTX 5080.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span><strong>Conclusion<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The RTX 5070 Ti vs 5080 comparison ultimately comes\u00a0down to one simple question: how much performance do you really want, and what is the real-world pricing difference when purchasing?<\/p>\n<p>The RTX 5080 is the fastest card in all relevant categories. More CUDA cores, better AI TOPS, and increased memory bandwidth make it the ideal solution for customers who push their GPU to its limits with 4K gaming, demanding ray tracing, or heavy GPU inference and Blender rendering sessions.<\/p>\n<p>The RTX 5070 Ti provides good performance for the vast majority of customers at a reduced price. For 1440p gaming and competent 4K gaming with DLSS, it seldom leaves you wanting more. It performs well for local LLM inference and Stable Diffusion on 16 GB of VRAM.<\/p>\n<p>In short, buy the RTX 5070 Ti when value is most important. Choose the RTX 5080 when extra performance is more important than extra expense.<\/p>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\"><\/span> <span class=\"rt-time\"> 9<\/span> <span class=\"rt-label rt-postfix\">min read<\/span><\/span>Building a premium PC in 2026 might become faster and more complicated between these two GPUs. The RTX 5070 Ti vs 5080 debate goes beyond just picking the fastest graphics card. The RTX 5070 Ti vs RTX 5080\u00a0comparison is quite challenging because both are based on NVIDIA\u00a0Blackwell architecture, have 16 GB of GDDR7 memory, and [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":20188,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"pmpro_default_level":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[6866,6878,6880,6877,6864,6876,6873,6872,6869,6868,6875,6871,6870,6874,6867,6865,6879],"class_list":["post-20180","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-guides","tag-5070-ti-vs-5080","tag-cuda-cores","tag-gpu-power-consumption","tag-nvidia-blackwell","tag-rtx-5070-ti-vs-5080","tag-rtx-5070-ti-vs-5080-4k","tag-rtx-5070-ti-vs-5080-ai","tag-rtx-5070-ti-vs-5080-benchmarks","tag-rtx-5070-ti-vs-5080-gaming","tag-rtx-5070-ti-vs-5080-performance","tag-rtx-5070-ti-vs-5080-power-consumption","tag-rtx-5070-ti-vs-5080-price","tag-rtx-5070-ti-vs-5080-specs","tag-rtx-5070-ti-vs-5080-vram","tag-rtx-5070-ti-vs-rtx-5080","tag-rtx-5080-vs-5070-ti","tag-tensor-cores","pmpro-has-access"],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/blog.temok.com\/wp-content\/uploads\/2026\/08\/RTX-5070-Ti-vs-5080.webp?fit=750%2C500&ssl=1","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.temok.com\/blog\/wp-json\/wp\/v2\/posts\/20180","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.temok.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.temok.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.temok.com\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/www.temok.com\/blog\/wp-json\/wp\/v2\/comments?post=20180"}],"version-history":[{"count":7,"href":"https:\/\/www.temok.com\/blog\/wp-json\/wp\/v2\/posts\/20180\/revisions"}],"predecessor-version":[{"id":20192,"href":"https:\/\/www.temok.com\/blog\/wp-json\/wp\/v2\/posts\/20180\/revisions\/20192"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.temok.com\/blog\/wp-json\/wp\/v2\/media\/20188"}],"wp:attachment":[{"href":"https:\/\/www.temok.com\/blog\/wp-json\/wp\/v2\/media?parent=20180"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.temok.com\/blog\/wp-json\/wp\/v2\/categories?post=20180"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.temok.com\/blog\/wp-json\/wp\/v2\/tags?post=20180"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}