{"id":367,"date":"2026-05-29T18:01:40","date_gmt":"2026-05-29T18:01:40","guid":{"rendered":"https:\/\/convly.ai\/?p=367"},"modified":"2026-05-22T11:38:02","modified_gmt":"2026-05-22T11:38:02","slug":"best-gpus-for-video-generation-2026","status":"publish","type":"post","link":"https:\/\/convly.ai\/fr\/best-gpus-for-video-generation-2026\/","title":{"rendered":"Les meilleurs GPU pour la g\u00e9n\u00e9ration de vid\u00e9os d'IA en 2026"},"content":{"rendered":"<p>Generating video with open models like Hunyuan Video and Wan, on your own machine, is one of the most demanding things you can ask a consumer GPU to do. Video isn&#8217;t a single image \u2014 it&#8217;s many frames that must stay coherent, and that multiplies the memory and compute needed. If image generation is a sprint, local video generation is a mountain climb.<\/p>\n<p>This guide ranks the GPUs that can genuinely handle local AI video generation in 2026 \u2014 and is honest about what it takes.<\/p>\n<div class=\"convly-tldr\">\n<h3>Principaux enseignements<\/h3>\n<ul>\n<li><strong>Meilleur r\u00e9sultat global :<\/strong> RTX 5090 (32 GB) \u2014 the only consumer card with real headroom for video.<\/li>\n<li><strong>Minimum viable:<\/strong> 24 GB \u2014 a used RTX 3090 or an RTX 4090.<\/li>\n<li><strong>VRAM is everything<\/strong> \u2014 video generation is the most memory-hungry creative workload.<\/li>\n<li><strong>Below 24 GB,<\/strong> expect short, low-resolution clips and heavy compromises.<\/li>\n<li><strong>For occasional use,<\/strong> cloud GPUs are a serious alternative to buying a flagship.<\/li>\n<\/ul>\n<\/div>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-flat ez-toc-counter ez-toc-container-direction\">\n<label for=\"ez-toc-cssicon-toggle-item-6a1c77f73e6da\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #000000;color:#000000\" 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: #000000;color:#000000\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a1c77f73e6da\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/convly.ai\/fr\/best-gpus-for-video-generation-2026\/#Why_video_generation_is_so_demanding\" >Why video generation is so demanding<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/convly.ai\/fr\/best-gpus-for-video-generation-2026\/#How_much_VRAM_do_you_need\" >How much VRAM do you need?<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/convly.ai\/fr\/best-gpus-for-video-generation-2026\/#The_rankings\" >Les classements<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/convly.ai\/fr\/best-gpus-for-video-generation-2026\/#Buy_or_rent\" >Buy or rent?<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/convly.ai\/fr\/best-gpus-for-video-generation-2026\/#FAQ\" >FAQ<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/convly.ai\/fr\/best-gpus-for-video-generation-2026\/#Bottom_line\" >R\u00e9sultat<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Why_video_generation_is_so_demanding\"><\/span>Why video generation is so demanding<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>A video model has to generate and keep consistent a whole sequence of frames at once. That makes it dramatically heavier than image generation on every axis:<\/p>\n<ul>\n<li><strong>VRAM<\/strong> \u2014 holding many frames plus a large model needs far more memory than a single image. This is the hard wall.<\/li>\n<li><strong>Compute<\/strong> \u2014 every clip is many frames of work, so generation is slow even on fast cards.<\/li>\n<li><strong>Time<\/strong> \u2014 a few seconds of video can take minutes to generate locally.<\/li>\n<\/ul>\n<p>There&#8217;s no clever way around the memory wall. For local video generation, VRAM isn&#8217;t just the most important spec \u2014 it&#8217;s the one that decides whether you can run a model at all.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_much_VRAM_do_you_need\"><\/span>How much VRAM do you need?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>VRAM<\/th>\n<th>Local video generation experience<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>16 GO<\/td>\n<td>Very limited \u2014 short, low-res clips, heavy optimization, smaller models only<\/td>\n<\/tr>\n<tr>\n<td>24 GB<\/td>\n<td>Minimum viable \u2014 usable clips with care and optimized workflows<\/td>\n<\/tr>\n<tr>\n<td>32 GO<\/td>\n<td>Comfortable \u2014 the realistic target for a good local experience<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The conclusion is blunt: <strong>24 GB is the floor, and 32 GB is what you actually want.<\/strong> Below 24 GB, local video generation is more of a frustrating experiment than a workflow.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_rankings\"><\/span>Les classements<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3>1. RTX 5090 \u2014 the clear winner<\/h3>\n<p>For local AI video generation, the RTX 5090 isn&#8217;t just the best option \u2014 it&#8217;s close to the only fully comfortable one. Its <strong>32 GB of GDDR7<\/strong> provides the memory headroom that video models demand, and its Blackwell compute meaningfully shortens the long generation times. If you&#8217;re serious about generating video locally, this is the card to build around. There isn&#8217;t a close second in the consumer range.<\/p>\n<h3>2. RTX 4090 \u2014 strong, if you can get one well-priced<\/h3>\n<p>The RTX 4090&#8217;s <strong>24 GB<\/strong> hits the minimum viable bar, and its compute is excellent. With optimized workflows it handles local video generation, just with less headroom than a 5090 \u2014 expect to manage clip length and resolution more carefully. New stock is limited and pricing varies, so judge it on the deal available.<\/p>\n<h3>3. Used RTX 3090 \u2014 the value route to 24 GB<\/h3>\n<p>A used RTX 3090 is the cheapest way onto the <strong>24 GB<\/strong> tier, for roughly $700\u2013900. It&#8217;s slower than a 4090 or 5090, so generation times are longer, but it has the memory to run the models. For someone who wants to do local video generation on a budget and accepts the wait, it&#8217;s the value pick.<\/p>\n<h3>4. 16 GB cards (RTX 5080 \/ 5070 Ti) \u2014 not recommended for video<\/h3>\n<p>The 16 GB cards are excellent for many AI tasks, but local video generation isn&#8217;t one of them. 16 GB forces small models, short and low-resolution clips, and constant memory juggling. They can technically do it; they can&#8217;t do it well. If video generation is your goal, don&#8217;t stop at 16 GB.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Buy_or_rent\"><\/span>Buy or rent?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>This is a genuine decision for video generation. A 32 GB GPU is a major purchase, and local video generation is slow even on the best card. If you generate video only occasionally, <strong>renting a cloud GPU<\/strong> for those sessions can be far cheaper and faster than buying a flagship \u2014 you get access to powerful hardware only when you need it.<\/p>\n<p>Buy the GPU if you generate video frequently, want full privacy, or also run other heavy AI workloads that justify a 5090. Rent if it&#8217;s an occasional creative experiment.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"FAQ\"><\/span>FAQ<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3>What is the best GPU for AI video generation in 2026?<\/h3>\n<p>The RTX 5090, with 32 GB of VRAM, is the best and most comfortable GPU for local AI video generation. The RTX 4090 and a used RTX 3090 (both 24 GB) are the minimum viable options. Video generation is so memory-hungry that the 5090 stands well ahead of everything else.<\/p>\n<h3>How much VRAM do I need for AI video generation?<\/h3>\n<p>24 GB is the realistic minimum for usable local video generation, and 32 GB is the comfortable target. With less than 24 GB you&#8217;re limited to short, low-resolution clips and constant optimization. VRAM is the spec that decides what you can run.<\/p>\n<h3>Why does AI video generation need so much VRAM?<\/h3>\n<p>A video model generates many frames at once and must keep them coherent, which requires holding far more data in memory than a single image. Combined with a large model, this makes video generation the most VRAM-hungry consumer AI workload.<\/p>\n<h3>Can I generate AI video on a 16 GB GPU?<\/h3>\n<p>Only with heavy compromises \u2014 small models, short clips, low resolution, and constant memory management. 16 GB cards are great for many AI tasks, but local video generation realistically needs 24 GB or more to be a workable experience.<\/p>\n<h3>Should I buy a GPU or use the cloud for AI video?<\/h3>\n<p>If you generate video only occasionally, renting a cloud GPU is often cheaper and faster than buying a 32 GB card. Buy your own GPU if you generate video frequently, need privacy, or run other heavy AI workloads that justify a flagship card.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Bottom_line\"><\/span>R\u00e9sultat<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Local AI video generation is the most demanding consumer AI workload there is, and the hardware reality is simple: <strong>the RTX 5090 and its 32 GB of VRAM<\/strong> is the card to build around. The RTX 4090 and a used RTX 3090 hit the 24 GB minimum and will work with care, but 16 GB cards aren&#8217;t suited to it.<\/p>\n<p>Before buying a flagship, weigh the cloud honestly \u2014 for occasional video work, renting powerful hardware on demand may serve you better than owning it. But if local, private, frequent video generation is the goal, the RTX 5090 is the answer.<\/p>","protected":false},"excerpt":{"rendered":"<p>La g\u00e9n\u00e9ration de vid\u00e9os d'IA locale est la charge de travail cr\u00e9ative la plus gourmande en VRAM qui soit. Ce guide classe les GPU capables de faire tourner des mod\u00e8les comme Hunyuan et Wan.<\/p>","protected":false},"author":1,"featured_media":543,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"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-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[248],"tags":[550,551,553,251,552],"class_list":["post-367","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-gpus","tag-ai-video-generation-gpu","tag-hunyuan-video","tag-local-video-ai","tag-rtx-5090","tag-wan-video"],"_links":{"self":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/posts\/367","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/comments?post=367"}],"version-history":[{"count":1,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/posts\/367\/revisions"}],"predecessor-version":[{"id":722,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/posts\/367\/revisions\/722"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/media\/543"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/media?parent=367"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/categories?post=367"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/tags?post=367"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}