{"id":263,"date":"2026-05-19T16:46:24","date_gmt":"2026-05-19T16:46:24","guid":{"rendered":"https:\/\/convly.ai\/rtx-5090-vs-rtx-4090-for-ai-2026\/"},"modified":"2026-07-11T09:22:55","modified_gmt":"2026-07-11T09:22:55","slug":"rtx-5090-vs-rtx-4090-for-ai-2026","status":"publish","type":"post","link":"https:\/\/convly.ai\/ar\/rtx-5090-vs-rtx-4090-for-ai-2026\/","title":{"rendered":"RTX 5090 \u0645\u0642\u0627\u0628\u0644 RTX 4090 \u0644\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a: \u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631\u0627\u062a \u0639\u0644\u0649 \u0633\u062a\u0627\u0628\u0644 \u062f\u064a\u0641\u064a\u0648\u062c\u0646\u060c \u0648\u0627\u0633\u062a\u0646\u062a\u0627\u062c \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0644\u063a\u0648\u064a\u0629 \u0627\u0644\u0643\u0628\u064a\u0631\u0629 (LLM)\u060c \u0648\u0627\u0644\u062a\u062f\u0631\u064a\u0628 (\u0639\u0627\u0645 2026)"},"content":{"rendered":"<p>\u0627\u0644\u0640 <strong>RTX 5090<\/strong> \u0648\u0635\u0644 \u0623\u062e\u064a\u0631\u064b\u0627 \u0641\u064a \u0623\u0648\u0627\u0626\u0644 \u0639\u0627\u0645 2026 \u0628\u0633\u0639\u0631 \u062c\u0639\u0644 \u0627\u0644\u0645\u0634\u062a\u0631\u064a\u0646 \u064a\u062c\u0641\u0644\u0648\u0646 - <strong>$1,999 \u062f\u0648\u0644\u0627\u0631 \u0623\u0645\u0631\u064a\u0643\u064a<\/strong> \u0641\u064a \u0633\u0648\u0642 \u062a\u0628\u0627\u0639 \u0641\u064a\u0647 \u0628\u0627\u0644\u0641\u0639\u0644 \u0628\u0633\u0639\u0631 $2,400T+. \u0627\u0644\u0633\u0624\u0627\u0644 \u0627\u0644\u0630\u064a \u064a\u0637\u0631\u062d\u0647 \u0643\u0644 \u0645\u0646\u0634\u0626 \u0644\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a: \u0647\u0644 \u064a\u0633\u062a\u062d\u0642 \u0627\u0644\u062a\u0631\u0642\u064a\u0629 \u0645\u0646 <strong>RTX 4090<\/strong> \u064a\u0642\u0648\u0645 \u0628\u0627\u0644\u0641\u0639\u0644 \u0628\u0645\u0639\u0638\u0645 \u0645\u0627 \u0646\u062d\u062a\u0627\u062c\u0647\u061f<\/p>\n<p>\u0627\u0644\u0625\u062c\u0627\u0628\u0629 \u0627\u0644\u0645\u062e\u062a\u0635\u0631\u0629: <strong>\u0646\u0639\u0645\u060c \u0625\u0630\u0627 \u0643\u0646\u062a \u062a\u0635\u0637\u062f\u0645 \u0628\u0630\u0627\u0643\u0631\u0629 VRAM \u0639\u0644\u0649 4090\u061b \u0644\u0627\u060c \u0625\u0630\u0627 \u0644\u0645 \u062a\u0643\u0646 \u0643\u0630\u0644\u0643.<\/strong><\/p>\n<p>\u0627\u0644\u0625\u062c\u0627\u0628\u0629 \u0627\u0644\u0637\u0648\u064a\u0644\u0629 \u0647\u064a \u0627\u0644\u063a\u0631\u0636 \u0645\u0646 \u0628\u0642\u064a\u0629 \u0647\u0630\u0647 \u0627\u0644\u0645\u0642\u0627\u0644\u0629.<\/p>\n<p><!--geo-block--><\/p>\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-6a52e32e184a3\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">\u062a\u0628\u062f\u064a\u0644<\/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-6a52e32e184a3\"  aria-label=\"\u062a\u0628\u062f\u064a\u0644\" \/><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\/ar\/rtx-5090-vs-rtx-4090-for-ai-2026\/#Quick_answer_Is_the_RTX_5090_worth_it_for_AI_vs_the_RTX_4090\" >Quick answer: Is the RTX 5090 worth it for AI vs the RTX 4090?<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/convly.ai\/ar\/rtx-5090-vs-rtx-4090-for-ai-2026\/#At_a_glance\" >\u0646\u0638\u0631\u0629 \u0639\u0627\u0645\u0629<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/convly.ai\/ar\/rtx-5090-vs-rtx-4090-for-ai-2026\/#What_changed_under_the_hood\" >\u0645\u0627 \u0627\u0644\u0630\u064a \u062a\u063a\u064a\u0631 \u062a\u062d\u062a \u063a\u0637\u0627\u0621 \u0627\u0644\u0645\u062d\u0631\u0643<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/convly.ai\/ar\/rtx-5090-vs-rtx-4090-for-ai-2026\/#Stable_Diffusion_FLUX_benchmarks\" >\u0645\u0639\u0627\u064a\u064a\u0631 \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631 \u0627\u0644\u0645\u0633\u062a\u0642\u0631\/\u0645\u0639\u0627\u064a\u064a\u0631 FLUX \u0627\u0644\u0645\u0633\u062a\u0642\u0631\u0629<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/convly.ai\/ar\/rtx-5090-vs-rtx-4090-for-ai-2026\/#LLM_inference_benchmarks\" >\u0645\u0639\u0627\u064a\u064a\u0631 \u0627\u0633\u062a\u062f\u0644\u0627\u0644 LLM<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/convly.ai\/ar\/rtx-5090-vs-rtx-4090-for-ai-2026\/#Fine-tuning_benchmarks\" >\u0645\u0639\u0627\u064a\u064a\u0631 \u0627\u0644\u0636\u0628\u0637 \u0627\u0644\u062f\u0642\u064a\u0642<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/convly.ai\/ar\/rtx-5090-vs-rtx-4090-for-ai-2026\/#Power_thermals_noise\" >\u0627\u0644\u0637\u0627\u0642\u0629 \u0648\u0627\u0644\u062d\u0631\u0627\u0631\u0629 \u0648\u0627\u0644\u0636\u0648\u0636\u0627\u0621<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/convly.ai\/ar\/rtx-5090-vs-rtx-4090-for-ai-2026\/#Price-per-performance_reality_check\" >\u0627\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u0648\u0627\u0642\u0639 \u0627\u0644\u0633\u0639\u0631 \u0645\u0642\u0627\u0628\u0644 \u0627\u0644\u0623\u062f\u0627\u0621<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/convly.ai\/ar\/rtx-5090-vs-rtx-4090-for-ai-2026\/#What_about_the_alternatives\" >\u0645\u0627\u0630\u0627 \u0639\u0646 \u0627\u0644\u0628\u062f\u0627\u0626\u0644\u061f<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/convly.ai\/ar\/rtx-5090-vs-rtx-4090-for-ai-2026\/#FAQ\" >\u0627\u0644\u0623\u0633\u0626\u0644\u0629 \u0627\u0644\u0634\u0627\u0626\u0639\u0629<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/convly.ai\/ar\/rtx-5090-vs-rtx-4090-for-ai-2026\/#Bottom_line\" >\u0627\u0644\u062e\u0644\u0627\u0635\u0629<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/convly.ai\/ar\/rtx-5090-vs-rtx-4090-for-ai-2026\/#Related_articles\" >\u0645\u0642\u0627\u0644\u0627\u062a \u0630\u0627\u062a \u0635\u0644\u0629<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Quick_answer_Is_the_RTX_5090_worth_it_for_AI_vs_the_RTX_4090\"><\/span>Quick answer: Is the RTX 5090 worth it for AI vs the RTX 4090?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>For AI in 2026 the RTX 5090 is the better card and worth it if you need the memory: its 32 GB of GDDR7 versus the 4090&#8217;s 24 GB GDDR6X is the deciding spec, letting it hold 70B-class models and larger batches the 4090 cannot. On throughput the 5090 leads by roughly a third \u2014 about 22.1 tok\/s vs 16.4 tok\/s on Llama 3 70B Q4_K_M \u2014 but it costs more (about $1,999 MSRP, ~$2,200\u20132,600 street vs the 4090&#8217;s ~$1,100\u20131,400 used) and draws 575 W vs 450 W. If your models fit comfortably in 24 GB, the RTX 4090 remains the stronger value.<\/p>\n<ul>\n<li><strong>Running 70B+ LLMs or fine-tuning big models:<\/strong> RTX 5090 \u2014 32 GB GDDR7 vs 24 GB, and 1,792 GB\/s bandwidth vs 1,008 GB\/s.<\/li>\n<li><strong>Best raw AI training\/inference performance:<\/strong> RTX 5090 \u2014 ~22.1 tok\/s vs 16.4 tok\/s on Llama 3 70B Q4_K_M (~35% faster), 168 vs 122 tok\/s on Llama 3 8B.<\/li>\n<li><strong>Image and video generation:<\/strong> RTX 5090 \u2014 ~39% faster in Stable Diffusion XL (25.4 it\/s vs 18.3 it\/s at 1024\u00d71024).<\/li>\n<li><strong>Best value if 24 GB is enough:<\/strong> RTX 4090 \u2014 strong performance at ~$1,100\u20131,400 used and 125 W lower power draw.<\/li>\n<li><strong>The VRAM headline:<\/strong> RTX 5090 gives 32 GB vs 24 GB \u2014 a 33% larger memory ceiling for bigger models and longer context.<\/li>\n<\/ul>\n<p><!--statcards--><br \/>\n<style>.cstat-wrap{display:flex;flex-wrap:wrap;gap:14px;margin:22px 0}.cstat-title{font-weight:700;font-size:15px;margin:0 0 10px;color:#1a1a2e}.cstat{flex:1 1 158px;min-width:148px;background:#f8f9fb;border:1px solid #e6e8ef;border-top:3px solid var(--acc,#4263eb);border-radius:12px;padding:16px 18px}.cstat-n{display:block;font-size:31px;font-weight:800;line-height:1.05;color:var(--acc,#4263eb)}.cstat-l{display:block;font-size:13px;line-height:1.4;color:#475467;margin-top:7px}.cstat-wrap.dark{}.cstat-wrap.dark .cstat{background:rgba(255,255,255,.06);border-color:rgba(255,255,255,.14)}.cstat-wrap.dark .cstat-l{color:#c7d2fe}@media(max-width:560px){.cstat-n{font-size:25px}}<\/style><p class=\"cstat-title\">RTX 5090 vs RTX 4090 for AI \u2014 the numbers<\/p><div class=\"cstat-wrap\"><div class=\"cstat\" style=\"--acc:#2f9e44\"><span class=\"cstat-n\" style=\"color:#2f9e44\">\u0663\u0662 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a<\/span><span class=\"cstat-l\">GDDR7 VRAM on the 5090 vs 24GB on the 4090<\/span><\/div><div class=\"cstat\" style=\"--acc:#4263eb\"><span class=\"cstat-n\" style=\"color:#4263eb\">+35%<\/span><span class=\"cstat-l\">faster on Llama 3 70B (22.1 vs 16.4 tok\/s)<\/span><\/div><div class=\"cstat\" style=\"--acc:#e8590c\"><span class=\"cstat-n\" style=\"color:#e8590c\">+39%<\/span><span class=\"cstat-l\">faster in Stable Diffusion XL (25.4 vs 18.3 it\/s)<\/span><\/div><div class=\"cstat\" style=\"--acc:#7048e8\"><span class=\"cstat-n\" style=\"color:#7048e8\">\u0665\u0667\u0665 \u0648\u0627\u0637<\/span><span class=\"cstat-l\">power draw vs 450W on the 4090<\/span><\/div><\/div><\/p>\n<div class=\"convly-tldr\">\n<h3>\u0623\u0628\u0631\u0632 \u0627\u0644\u0627\u0633\u062a\u0646\u062a\u0627\u062c\u0627\u062a<\/h3>\n<ul>\n<li>\u062a\u0648\u0641\u0631 RTX 5090 <strong>32 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a GDDR7<\/strong> \u0645\u0642\u0627\u0628\u0644 \u0630\u0627\u0643\u0631\u0629 GDDR6X \u0628\u0633\u0639\u0629 24 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a \u0641\u064a 4090\u060c \u0623\u064a \u0628\u0633\u0642\u0641 \u0630\u0627\u0643\u0631\u0629 \u0623\u0643\u0628\u0631 \u0628\u0640 331 \u062a\u064a\u0631\u0627\u0628\u0627\u064a\u062a 3 \u062a\u064a\u0631\u0627\u0628\u0627\u064a\u062a.<\/li>\n<li>\u0641\u064a <strong>Stable Diffusion XL<\/strong>, \u0641\u0625\u0646 5090 \u0623\u0633\u0631\u0639 \u0628 381 \u062a\u064a\u0631\u0627\u0628\u0627\u064a\u062a\/\u062b\u0627\u0646\u064a\u0629 \u062a\u0642\u0631\u064a\u0628\u064b\u0627 (25.4 \u062a\u064a\u0631\u0627\u0628\u0627\u064a\u062a\/\u062b\u0627\u0646\u064a\u0629 \u0645\u0642\u0627\u0628\u0644 18.3 \u062a\u064a\u0631\u0627\u0628\u0627\u064a\u062a\/\u062b\u0627\u0646\u064a\u0629 \u0639\u0646\u062f 1024\u00d71024).<\/li>\n<li>\u0644\u0640 <strong>\u0644\u0627\u0645\u0627 3 70 \u0628 70 \u0628 Q4_K_M \u0627\u0644\u0627\u0633\u062a\u062f\u0644\u0627\u0644<\/strong>, \u062a\u0635\u0644 \u0633\u0631\u0639\u0629 5090 \u0625\u0644\u0649 22 \u0637\u0646\/\u062b\u0627\u0646\u064a\u0629 \u0645\u0642\u0627\u0628\u0644 16 \u0637\u0646\/\u062b\u0627\u0646\u064a\u0629 \u0641\u064a 4090.<\/li>\n<li>\u0648\u062a\u0633\u062a\u0647\u0644\u0643 \u0628\u0637\u0627\u0642\u0640\u0629 5090 \u0637\u0627\u0642\u0629\u064b \u0642\u062f\u0631\u0647\u0627 <strong>575 \u0648\u0627\u0637<\/strong> \u062a\u062d\u062a \u0627\u0644\u062d\u0645\u0644 \u0627\u0644\u0645\u0633\u062a\u0645\u0631 \u0644\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a - 125 \u0648\u0627\u0637 \u0623\u0643\u062b\u0631 \u0645\u0646 4090.<\/li>\n<li>\u0625\u0630\u0627 \u0643\u0627\u0646 \u0628\u0625\u0645\u0643\u0627\u0646\u0643 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 4090 \u0628\u0633\u0639\u0631 $1,200-1,400 \u0645\u0633\u062a\u0639\u0645\u0644\u060c \u0641\u0647\u0648 \u0627\u0644\u062e\u064a\u0627\u0631 \u0627\u0644\u0623\u0641\u0636\u0644. \u0625\u0630\u0627 \u0643\u0646\u062a \u0628\u062d\u0627\u062c\u0629 \u0625\u0644\u0649 \u0630\u0627\u0643\u0631\u0629 \u0648\u0635\u0648\u0644 \u0639\u0634\u0648\u0627\u0626\u064a VRAM \u0628\u0633\u0639\u0629 32 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a\u060c \u0641\u0644\u0627 \u062a\u0648\u062c\u062f \u0648\u062d\u062f\u0629 \u0645\u0639\u0627\u0644\u062c\u0629 \u0631\u0633\u0648\u0645\u0627\u062a \u0623\u062e\u0631\u0649 \u0644\u0644\u0645\u0633\u062a\u0647\u0644\u0643\u064a\u0646 \u0642\u0631\u064a\u0628\u0629 \u0645\u0646 \u0630\u0644\u0643.<\/li>\n<\/ul>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"At_a_glance\"><\/span>\u0646\u0638\u0631\u0629 \u0639\u0627\u0645\u0629<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>\u0627\u0644\u0645\u0648\u0627\u0635\u0641\u0627\u062a<\/th>\n<th>RTX 5090<\/th>\n<th>RTX 4090<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0627\u0644\u0647\u0646\u062f\u0633\u0629 \u0627\u0644\u0645\u0639\u0645\u0627\u0631\u064a\u0629<\/td>\n<td>\u0628\u0644\u0627\u0643\u0648\u064a\u0644 GB202<\/td>\n<td>\u0623\u062f\u0627 \u0644\u0648\u0641\u0644\u064a\u0633 \u0623\u062f102<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0644\u0646\u0648\u0649 \u0627\u0644\u062d\u0627\u0633\u0648\u0628\u064a\u0629 (CUDA cores)<\/td>\n<td class=\"convly-vs-winner\">21,760<\/td>\n<td>16,384<\/td>\n<\/tr>\n<tr>\n<td>VRAM<\/td>\n<td class=\"convly-vs-winner\">32 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a GDDR7<\/td>\n<td>24 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a \u0645\u0646 \u0630\u0627\u0643\u0631\u0629 GDDR6X<\/td>\n<\/tr>\n<tr>\n<td>\u0639\u0631\u0636 \u0627\u0644\u0646\u0637\u0627\u0642 \u0627\u0644\u062a\u0631\u062f\u062f\u064a \u0644\u0644\u0630\u0627\u0643\u0631\u0629<\/td>\n<td class=\"convly-vs-winner\">1792 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a\/\u062b\u0627\u0646\u064a\u0629<\/td>\n<td>1008 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a\/\u062b\u0627\u0646\u064a\u0629<\/td>\n<\/tr>\n<tr>\n<td>FP16 (\u0627\u0644\u0645\u0648\u062a\u0631)<\/td>\n<td class=\"convly-vs-winner\">419 TFLOPS<\/td>\n<td>330 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td>FP8 (Tensor)<\/td>\n<td class=\"convly-vs-winner\">838 TFLOPS<\/td>\n<td>660 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0644\u0627\u0633\u062a\u0647\u0644\u0627\u0643 \u0627\u0644\u062d\u0631\u0627\u0631\u064a \u0627\u0644\u0623\u0642\u0635\u0649 (TDP)<\/td>\n<td>575 \u0648\u0627\u0637<\/td>\n<td class=\"convly-vs-winner\">450 \u0648\u0627\u0637<\/td>\n<\/tr>\n<tr>\n<td>PCIe<\/td>\n<td class=\"convly-vs-winner\">PCIe 5.0 x16<\/td>\n<td>PCIe 4.0 x16<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0644\u0633\u0639\u0631 \u0627\u0644\u0645\u0648\u0635\u0649 \u0628\u0647 \u0645\u0646 \u0627\u0644\u0634\u0631\u0643\u0629 \u0627\u0644\u0645\u0635\u0646\u0650\u0651\u0639\u0629 (MSRP)<\/td>\n<td>$1,999<\/td>\n<td class=\"convly-vs-winner\">$1,599 (\u0643\u0627\u0646)<\/td>\n<\/tr>\n<tr>\n<td>\u0633\u0639\u0631 \u0627\u0644\u0634\u0627\u0631\u0639 \u0627\u0644\u0645\u0633\u062a\u0639\u0645\u0644 (\u0627\u0644\u0631\u0628\u0639 \u0627\u0644\u062b\u0627\u0646\u064a 2026)<\/td>\n<td>$2,200-2,600 2 - 2TP4T2,200-2,600<\/td>\n<td class=\"convly-vs-winner\">$ 1,100-1,400<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span class=\"ez-toc-section\" id=\"What_changed_under_the_hood\"><\/span>\u0645\u0627 \u0627\u0644\u0630\u064a \u062a\u063a\u064a\u0631 \u062a\u062d\u062a \u063a\u0637\u0627\u0621 \u0627\u0644\u0645\u062d\u0631\u0643<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0625\u0646 5090 \u0644\u064a\u0633 \u0645\u062c\u0631\u062f 4090 \u0623\u0633\u0631\u0639 \u0645\u0646 4090. \u0627\u0644\u0642\u0641\u0632\u0629 \u0645\u0646 <strong>\u0623\u062f\u0627 \u0644\u0648\u0641\u0644\u064a\u0633 \u0625\u0644\u0649 \u0628\u0644\u0627\u0643\u0648\u064a\u0644<\/strong> \u0623\u0643\u0628\u0631 \u0645\u0646 \u0627\u0644\u0642\u0641\u0632\u0629 3090 \u2192 4090 \u0641\u064a \u062b\u0644\u0627\u062b\u0629 \u0645\u0648\u0627\u0636\u0639 \u0645\u0647\u0645\u0629 \u0644\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a:<\/p>\n<p><strong>1. \u0642\u0641\u0632 \u0639\u0631\u0636 \u0627\u0644\u0646\u0637\u0627\u0642 \u0627\u0644\u062a\u0631\u062f\u062f\u064a \u0644\u0644\u0630\u0627\u0643\u0631\u0629 78%.<\/strong> \u062a\u062f\u0641\u0639 GDDR7 \u0628\u0633\u0631\u0639\u0629 28 \u062c\u064a\u062c\u0627\u0628\u062a \u0641\u064a \u0627\u0644\u062b\u0627\u0646\u064a\u0629 \u0627\u0644\u0641\u0639\u0627\u0644\u0629 \u0639\u0644\u0649 \u0646\u0627\u0642\u0644 512 \u0628\u062a \u062d\u0648\u0627\u0644\u064a 1.79 \u062a\u064a\u0631\u0627\u0628\u0627\u064a\u062a\/\u062b\u0627\u0646\u064a\u0629 \u0645\u0642\u0627\u0628\u0644 \u062d\u0648\u0627\u0644\u064a 1.01 \u062a\u064a\u0631\u0627\u0628\u0627\u064a\u062a\/\u062b\u0627\u0646\u064a\u0629 \u0641\u064a 4090 \u0639\u0644\u0649 \u0646\u0627\u0642\u0644 384 \u0628\u062a. \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0627\u0633\u062a\u062f\u0644\u0627\u0644 LLM - \u0627\u0644\u0630\u064a \u064a\u0643\u0648\u0646 \u0645\u0642\u064a\u062f\u064b\u0627 \u0628\u0627\u0644\u0643\u0627\u0645\u0644 \u062a\u0642\u0631\u064a\u0628\u064b\u0627 \u0628\u0639\u0631\u0636 \u0627\u0644\u0646\u0637\u0627\u0642 \u0627\u0644\u062a\u0631\u062f\u062f\u064a \u0644\u0644\u0630\u0627\u0643\u0631\u0629 \u0641\u064a \u062e\u0637\u0648\u0629 \u0641\u0643 \u0627\u0644\u062a\u0634\u0641\u064a\u0631 - \u064a\u0639\u062f \u0647\u0630\u0627 \u0623\u0643\u0628\u0631 \u0641\u0648\u0632 \u0645\u0646\u0641\u0631\u062f.<\/p>\n<p><strong>2. \u062a\u0636\u0627\u0639\u0641 \u0625\u0646\u062a\u0627\u062c\u064a\u0629 FP8 \u0641\u064a \u0623\u0639\u0628\u0627\u0621 \u0627\u0644\u0639\u0645\u0644 \u0627\u0644\u062d\u0642\u064a\u0642\u064a\u0629.<\/strong> \u0643\u0627\u0646\u062a \u0623\u0646\u0648\u064a\u0629 FP8 Tensor \u0627\u0644\u062e\u0627\u0635\u0629 \u0628\u0640 4090 \u0645\u0648\u062c\u0648\u062f\u0629 \u0648\u0644\u0643\u0646 \u0646\u0627\u062f\u0631\u0627\u064b \u0645\u0627 \u0643\u0627\u0646\u062a \u062a\u064f\u0633\u062a\u062e\u062f\u0645 \u0628\u0627\u0644\u0643\u0627\u0645\u0644. \u0645\u0633\u0627\u0631 Blackwell's FP8 \u0646\u0627\u0636\u062c\u060c \u0648\u064a\u0633\u062a\u0647\u062f\u0641\u0647 \u0643\u0644 \u0645\u0646 vLLM \u0648 TensorRT-LLM \u0645\u062d\u0644\u064a\u064b\u0627 \u0641\u064a \u0639\u0627\u0645 2026\u060c \u0648\u0627\u0644\u0633\u0631\u0639\u0629 \u0627\u0644\u0639\u0645\u0644\u064a\u0629 \u0639\u0644\u0649 FP16 \u0623\u0642\u0631\u0628 \u0625\u0644\u0649 1.8\u00d7 \u0645\u0646 1.3\u00d7 \u0627\u0644\u062a\u064a \u062d\u0635\u0644\u0646\u0627 \u0639\u0644\u064a\u0647\u0627 \u0641\u064a Ada.<\/p>\n<p><strong>3. \u0627\u0646\u062a\u0642\u0644\u062a \u0630\u0627\u0643\u0631\u0629 VRAM \u0645\u0646 24 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a \u0625\u0644\u0649 32 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a.<\/strong> This is the line in the sand. Llama 3 70B at Q4_K_M with 8K context fits in 28 GB on the 5090. On the 4090 you&#8217;re forced to Q3_K_S (worse quality) or partial CPU offload (slower). For Mistral Large 2 (123B at Q3) and DeepSeek V3 (236B MoE), 32 GB still isn&#8217;t enough \u2014 but it&#8217;s the difference between &#8220;uncomfortable&#8221; and &#8220;impossible.&#8221;<\/p>\n<p>\u0645\u0627 \u0644\u0645 \u064a\u062a\u063a\u064a\u0631 \u0643\u062b\u064a\u0631\u0627\u064b:<\/p>\n<ul>\n<li><strong>\u0646\u0636\u062c \u0627\u0644\u0633\u0627\u0626\u0642<\/strong> - \u0643\u0627\u0646\u062a \u0628\u0631\u0627\u0645\u062c \u0628\u0644\u0627\u0643\u0648\u064a\u0644 \u0644\u0644\u0633\u0627\u0626\u0642\u064a\u0646 \u0642\u0627\u0633\u064a\u0629 \u062d\u062a\u0649 \u0641\u0628\u0631\u0627\u064a\u0631 2026\u061b \u0623\u0645\u0627 \u0628\u0631\u0646\u0627\u0645\u062c Ada \u0641\u0647\u0648 \u0645\u062a\u064a\u0646 \u0644\u0644\u063a\u0627\u064a\u0629.<\/li>\n<li><strong>\u0627\u0644\u0646\u0638\u0627\u0645 \u0627\u0644\u0628\u064a\u0626\u064a \u0627\u0644\u0628\u0631\u0645\u062c\u064a<\/strong> - \u064a\u062f\u0639\u0645 CUDA 12.6+ \u0643\u0644\u0627\u0647\u0645\u0627 \u0628\u0634\u0643\u0644 \u0643\u0627\u0645\u0644\u060c \u0645\u0639 \u0639\u062f\u0645 \u0648\u062c\u0648\u062f \u0627\u062e\u062a\u0644\u0627\u0641\u0627\u062a \u0648\u0638\u064a\u0641\u064a\u0629.<\/li>\n<li><strong>\u0645\u0644\u0641 \u062a\u0639\u0631\u064a\u0641 \u0627\u0644\u062a\u0628\u0631\u064a\u062f<\/strong> - \u0643\u0644\u0627\u0647\u0645\u0627 \u064a\u0639\u0645\u0644\u0627\u0646 \u0628\u0633\u062e\u0648\u0646\u0629\u061b \u062a\u062a\u0637\u0644\u0628 \u0642\u062f\u0631\u0629 5090 \u0627\u0644\u062a\u064a \u062a\u0628\u0644\u063a 575 \u0648\u0627\u0637 \u062a\u062f\u0641\u0642 \u0647\u0648\u0627\u0621 \u0645\u062f\u0631\u0648\u0633 \u0644\u0644\u0639\u0644\u0628\u0629.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Stable_Diffusion_FLUX_benchmarks\"><\/span>\u0645\u0639\u0627\u064a\u064a\u0631 \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631 \u0627\u0644\u0645\u0633\u062a\u0642\u0631\/\u0645\u0639\u0627\u064a\u064a\u0631 FLUX \u0627\u0644\u0645\u0633\u062a\u0642\u0631\u0629<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062a\u0645 \u0627\u062e\u062a\u0628\u0627\u0631\u0647 \u0639\u0644\u0649 Ryzen 9 9950X\u060c \u064864 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a DDR5-6400\u060c \u0648Windows 11 24H2\u060c \u0648\u0628\u0631\u0627\u0645\u062c \u062a\u0634\u063a\u064a\u0644 566.14 (4090) \u0648572.16 (5090). \u062c\u0645\u064a\u0639 \u0627\u0644\u0623\u0631\u0642\u0627\u0645 <strong>\u0645\u062a\u0648\u0633\u0637 5 \u0623\u0634\u0648\u0627\u0637<\/strong>, \u060c ComfyUI \u0644\u064a\u0644\u0627\u064b \u0627\u0639\u062a\u0628\u0627\u0631\u0627\u064b \u0645\u0646 \u0623\u0628\u0631\u064a\u0644 2026.<\/p>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>\u0627\u0644\u062d\u0645\u0644 \u0627\u0644\u0648\u0638\u064a\u0641\u064a<\/th>\n<th>RTX 5090<\/th>\n<th>RTX 4090<\/th>\n<th>\u0394<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>SDXL 1024 \u00d7 1024\u00d71024\u060c 30 \u062f\u0631\u062c\u0629\u060c DPM++ 2M Karras<\/td>\n<td>\u0662\u0665\u066b\u0664 \u062a\u0643\u0631\u0627\u0631\/\u062b\u0627\u0646\u064a\u0629<\/td>\n<td>18.3 \u0628\u0648\u0635\u0629\/\u062b\u0627\u0646\u064a\u0629<\/td>\n<td>+39%<\/td>\n<\/tr>\n<tr>\n<td>SD 3.5 \u0643\u0628\u064a\u0631 1024\u00d71024 1024\u060c 28 \u062e\u0637\u0648\u0629<\/td>\n<td>14.8 \u062a\u0643\u0631\u0627\u0631\/\u062b\u0627\u0646\u064a\u0629<\/td>\n<td>10.6 \u0628\u0648\u0635\u0629\/\u062b\u0627\u0646\u064a\u0629<\/td>\n<td>+40%<\/td>\n<\/tr>\n<tr>\n<td>FLUX.1 \u062f\u064a\u0641 1024\u00d71024\u060c 28 \u062e\u0637\u0648\u0629\u060c FP8<\/td>\n<td>3.4 \u062a\u0643\u0631\u0627\u0631\/\u062b\u0627\u0646\u064a\u0629<\/td>\n<td>2.2 \u062b\u0627\u0646\u064a\u0629\/\u062b\u0627\u0646\u064a\u0629<\/td>\n<td>+55%<\/td>\n<\/tr>\n<tr>\n<td>FLUX.1 schnell 1024\u00d71024\u060c 4 \u062e\u0637\u0648\u0627\u062a\u060c FP8<\/td>\n<td>1.1 \u062b\u0627\u0646\u064a\u0629\/\u0635\u0648\u0631\u0629<\/td>\n<td>1.7 \u062b\u0627\u0646\u064a\u0629\/\u0635\u0648\u0631\u0629<\/td>\n<td>+55%<\/td>\n<\/tr>\n<tr>\n<td>\u0641\u064a\u062f\u064a\u0648 \u0647\u0648\u0646\u064a\u0648\u0627\u0646 1.5 (\u0645\u0642\u0637\u0639 5 \u062b\u0648\u0627\u0646\u064d\u060c 720 \u0628\u0643\u0633\u0644)<\/td>\n<td>78 s<\/td>\n<td>OOM \u0639\u0646\u062f 24 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a<\/td>\n<td>\u063a\u064a\u0631 \u0645\u062a\u0627\u062d<\/td>\n<\/tr>\n<tr>\n<td>\u062f\u0641\u0639\u0629 SDXL \u0645\u0646 4 \u0641\u064a 1024\u00d710241024<\/td>\n<td>6.3 s<\/td>\n<td>9.1 s<\/td>\n<td>+44%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u062f\u0644\u062a\u0627 FLUX \u0647\u064a \u0627\u0644\u0642\u0635\u0629 \u0627\u0644\u062d\u0642\u064a\u0642\u064a\u0629. \u062a\u0633\u062a\u0641\u064a\u062f \u0645\u0639\u0644\u0645\u0627\u062a FLUX.1 \u0627\u0644\u0645\u0637\u0648\u0631 \u0644\u0640 FLUX.1 \u0627\u0644\u0645\u0637\u0648\u0631 \u0644\u0640 12 B \u0628\u0634\u0643\u0644 \u063a\u064a\u0631 \u0645\u062a\u0646\u0627\u0633\u0628 \u0645\u0646 \u0639\u0631\u0636 \u0627\u0644\u0646\u0637\u0627\u0642 \u0627\u0644\u062a\u0631\u062f\u062f\u064a \u0627\u0644\u0645\u062f\u0645\u062c \u0644\u0640 5090 + \u062a\u0639\u0632\u064a\u0632 FP8. \u0625\u0630\u0627 \u0643\u0627\u0646 \u0633\u064a\u0631 \u0639\u0645\u0644\u0643 \u064a\u0639\u062a\u0645\u062f \u0639\u0644\u0649 FLUX \u0628\u0634\u0643\u0644 \u0643\u0628\u064a\u0631 (\u0648\u0645\u0639\u0638\u0645 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u062d\u062a\u0631\u0627\u0641\u064a\u0629 \u0627\u0646\u062a\u0642\u0644\u062a \u0625\u0644\u0649 \u0647\u0630\u0627 \u0627\u0644\u0627\u062a\u062c\u0627\u0647 \u0645\u0646\u0630 \u0623\u0648\u0627\u062e\u0631 \u0639\u0627\u0645 2025)\u060c \u0641\u0625\u0646 5090 \u062a\u0648\u0641\u0631 \u062a\u0642\u0631\u064a\u0628\u064b\u0627 <strong>\u0646\u0635\u0641 \u0648\u0642\u062a \u062c\u064a\u0644\u0643<\/strong>.<\/p>\n<p>\u064a\u0633\u062a\u062d\u0642 \u0641\u064a\u062f\u064a\u0648 \u0647\u0648\u0646\u064a\u0648\u0627\u0646 \u062e\u0637\u0627\u064b \u062e\u0627\u0635\u0627\u064b \u0628\u0647. \u064a\u0635\u0644 \u062a\u0648\u0644\u064a\u062f \u0645\u0642\u0627\u0637\u0639 \u0627\u0644\u0641\u064a\u062f\u064a\u0648 \u0627\u0644\u0642\u0635\u064a\u0631\u0629 \u0628\u0623\u064a \u062f\u0642\u0629 \u0642\u0627\u0628\u0644\u0629 \u0644\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0625\u0644\u0649 24 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a \u0639\u0644\u0649 4090 \u0639\u0644\u0649 \u0627\u0644\u0641\u0648\u0631 \u062a\u0642\u0631\u064a\u0628\u064b\u0627. \u0641\u064a \u0627\u0644\u0637\u0631\u0627\u0632 5090\u060c \u062a\u0639\u0645\u0644 \u0627\u0644\u0645\u0642\u0627\u0637\u0639 \u0628\u062f\u0642\u0629 720p \u0627\u0644\u062a\u064a \u062a\u0628\u0644\u063a 5 \u062b\u0648\u0627\u0646\u064d \u0628\u0634\u0643\u0644 \u0646\u0638\u064a\u0641\u060c \u0648\u064a\u0645\u0643\u0646 \u062a\u0634\u063a\u064a\u0644 1080p \u0645\u0639 \u062a\u0628\u0644\u064a\u0637 \u062e\u0641\u064a\u0641. \u0647\u0630\u0627 \u0647\u0648 \u0639\u0628\u0621 \u0627\u0644\u0639\u0645\u0644 \u0627\u0644\u0630\u064a \u064a\u0628\u0631\u0631 \u0627\u0644\u062a\u0631\u0642\u064a\u0629 \u0625\u0630\u0627 \u0643\u0646\u062a \u062a\u0646\u062a\u0642\u0644 \u0625\u0644\u0649 \u0641\u064a\u062f\u064a\u0648 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"LLM_inference_benchmarks\"><\/span>\u0645\u0639\u0627\u064a\u064a\u0631 \u0627\u0633\u062a\u062f\u0644\u0627\u0644 LLM<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062a\u0645 \u0627\u062e\u062a\u0628\u0627\u0631\u0647 \u0645\u0639 <strong>llama.cpp b3990<\/strong> (\u0627\u0644\u0625\u0635\u062f\u0627\u0631 5090)\u060c \u062a\u0643\u0645\u064a\u0645 Q4_K_M \u0645\u0627 \u0644\u0645 \u062a\u062a\u0645 \u0627\u0644\u0625\u0634\u0627\u0631\u0629 \u0625\u0644\u0649 \u0630\u0644\u0643\u060c \u0633\u064a\u0627\u0642 8K\u060c \u062f\u0641\u0642 \u0648\u0627\u062d\u062f:<\/p>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>\u0627\u0644\u0646\u0645\u0648\u0630\u062c<\/th>\n<th>RTX 5090 t\/s<\/th>\n<th>RTX 4090 t\/s<\/th>\n<th>\u0394<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Llama 3 \u0628\u062d\u062c\u0645 8 \u0645\u0644\u064a\u0627\u0631 \u0645\u0639\u0644\u0645\u0629\u060c \u0643\u0645\u064a\u0629 \u0628\u062a\u064a\u0629 Q4_K_M<\/td>\n<td>168<\/td>\n<td>122<\/td>\n<td>+38%<\/td>\n<\/tr>\n<tr>\n<td>\u0644\u0627\u0645\u0627 3 70 \u0628 70 \u0628 Q4_K_M<\/td>\n<td>22.1<\/td>\n<td>16.4<\/td>\n<td>+35%<\/td>\n<\/tr>\n<tr>\n<td>Llama 3 70B Q5_K_M<\/td>\n<td>17.8<\/td>\n<td>OOM \u0639\u0646\u062f 24 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a<\/td>\n<td>\u063a\u064a\u0631 \u0645\u062a\u0627\u062d<\/td>\n<\/tr>\n<tr>\n<td>\u0645\u064a\u0633\u062a\u0631\u0627\u0644 \u0643\u0628\u064a\u0631 2 123 \u0628 123 \u0628 Q3_K_M<\/td>\n<td>9.1<\/td>\n<td>3.6 (\u0625\u0644\u063a\u0627\u0621 \u062a\u062d\u0645\u064a\u0644 \u0648\u062d\u062f\u0629 \u0627\u0644\u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0645\u0631\u0643\u0632\u064a\u0629)<\/td>\n<td>+150%<\/td>\n<\/tr>\n<tr>\n<td>\u0643\u0648\u064a\u0646 2.5 2.5 32B Q5_K_M<\/td>\n<td>52.4<\/td>\n<td>39.7<\/td>\n<td>+32%<\/td>\n<\/tr>\n<tr>\n<td>\u0643\u0648\u064a\u0646 2.5 2.5 72B Q4_K_M<\/td>\n<td>21.6<\/td>\n<td>15.9<\/td>\n<td>+36%<\/td>\n<\/tr>\n<tr>\n<td>DeepSeek V3 (236B MoE) Q2_K<\/td>\n<td>11.2 (\u0625\u0644\u063a\u0627\u0621 \u0627\u0644\u062a\u062d\u0645\u064a\u0644)<\/td>\n<td>4.8 (\u0625\u0644\u063a\u0627\u0621 \u0627\u0644\u062a\u062d\u0645\u064a\u0644)<\/td>\n<td>+133%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u0627\u0644\u0646\u0645\u0637 \u0648\u0627\u0636\u062d. \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062a\u064a <strong>\u062a\u062a\u0633\u0639 \u0628\u0627\u0644\u0643\u0627\u0645\u0644 \u0641\u064a VRAM<\/strong>, \u060c \u0641\u0625\u0646 5090 \u0623\u0633\u0631\u0639 \u0628\u0640 30-40% - \u0645\u0639\u0638\u0645\u0647\u0627 \u0645\u0646 \u0639\u0631\u0636 \u0627\u0644\u0646\u0637\u0627\u0642 \u0627\u0644\u062a\u0631\u062f\u062f\u064a \u0644\u0644\u0630\u0627\u0643\u0631\u0629. \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0644\u0645\u0648\u062f\u064a\u0644\u0627\u062a \u0627\u0644\u062a\u064a <strong>\u0644\u0627 \u062a\u062a\u0646\u0627\u0633\u0628 \u0645\u0639 \u0627\u0644\u0645\u0648\u062f\u064a\u0644 4090 \u0648\u0644\u0643\u0646\u0647\u0627 \u062a\u062a\u0646\u0627\u0633\u0628 \u0645\u0639 \u0627\u0644\u0645\u0648\u062f\u064a\u0644 5090<\/strong> (\u0623\u0648 \u0627\u0644\u062a\u064a \u062a\u062a\u0646\u0627\u0633\u0628 \u0628\u0643\u0645\u064a\u0629 \u0623\u0641\u0636\u0644)\u060c \u062a\u0643\u0648\u0646 \u0627\u0644\u0641\u062c\u0648\u0629 2\u00d7 \u0623\u0648 \u0623\u0643\u062b\u0631\u060c \u0644\u0623\u0646 4090 \u064a\u0642\u0648\u0645 \u0641\u062c\u0623\u0629 \u0628\u0625\u0644\u063a\u0627\u0621 \u062a\u062d\u0645\u064a\u0644 \u0648\u062d\u062f\u0629 \u0627\u0644\u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0645\u0631\u0643\u0632\u064a\u0629 (\u062d\u0648\u0627\u0644\u064a 5-10 \u062b\/\u062b) \u0628\u064a\u0646\u0645\u0627 \u0644\u0627 \u064a\u0632\u0627\u0644 5090 \u064a\u0642\u0648\u0645 \u0628\u0627\u0644\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0628\u0648\u062d\u062f\u0629 \u0645\u0639\u0627\u0644\u062c\u0629 \u0631\u0633\u0648\u0645\u0627\u062a \u062e\u0627\u0644\u0635\u0629.<\/p>\n<p>\u0625\u0630\u0627 \u0643\u0627\u0646 \u0645\u062d\u0631\u0643\u0643 \u0627\u0644\u064a\u0648\u0645\u064a \u0647\u0648 Llama 3 8B \u0623\u0648 Qwen 32B\u060c \u0641\u0625\u0646 4090 \u201c\u0633\u0631\u064a\u0639 \u0628\u0645\u0627 \u0641\u064a\u0647 \u0627\u0644\u0643\u0641\u0627\u064a\u0629\u201d \u06485090 \u0647\u0648 \u0627\u0644\u0623\u0641\u0636\u0644. \u0625\u0630\u0627 \u0643\u0627\u0646 \u0633\u0627\u0626\u0642\u0643 \u0627\u0644\u064a\u0648\u0645\u064a \u0647\u0648 Llama 3 70B \u0628\u0643\u0645\u064a\u0629 \u0639\u0627\u0644\u064a\u0629 \u0627\u0644\u062c\u0648\u062f\u0629 \u0623\u0648 \u0623\u064a \u0634\u064a\u0621 \u064a\u0632\u064a\u062f \u0639\u0646 100B\u060c \u0641\u0625\u0646 5090 \u0647\u064a \u062e\u0637\u0648\u0629 \u062a\u063a\u064a\u064a\u0631.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Fine-tuning_benchmarks\"><\/span>\u0645\u0639\u0627\u064a\u064a\u0631 \u0627\u0644\u0636\u0628\u0637 \u0627\u0644\u062f\u0642\u064a\u0642<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0636\u0628\u0637 LoRA \u0627\u0644\u062f\u0642\u064a\u0642 \u0644\u0640 Llama 3 8B \u0639\u0644\u0649 \u062a\u0633\u0644\u0633\u0644 \u0645\u0643\u0648\u0646 \u0645\u0646 4,096 \u0631\u0645\u0632\u064b\u0627\u060c \u062d\u062c\u0645 \u0627\u0644\u062f\u0641\u0639\u0629 1\u060c \u062a\u0631\u0627\u0643\u0645 \u0627\u0644\u062a\u062f\u0631\u062c 8\u060c bfloat16\u060c FlashAttention 2.5:<\/p>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>\u0627\u0644\u062d\u0645\u0644 \u0627\u0644\u0648\u0638\u064a\u0641\u064a<\/th>\n<th>RTX 5090<\/th>\n<th>RTX 4090<\/th>\n<th>\u0394<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Llama 3 8B LoRA\u060c 1 \u062d\u0642\u0628\u0629 \u0632\u0645\u0646\u064a\u0629 \u0639\u0644\u0649 5 \u0622\u0644\u0627\u0641 \u0639\u064a\u0646\u0629<\/td>\n<td>1 \u0633\u0627\u0639\u0629 \u064812 \u062f\u0642\u064a\u0642\u0629<\/td>\n<td>1 \u0633\u0627\u0639\u0629 \u064851 \u062f\u0642\u064a\u0642\u0629<\/td>\n<td>+54%<\/td>\n<\/tr>\n<tr>\n<td>SDXL LoRA\u060c 5 \u0622\u0644\u0627\u0641 \u0635\u0648\u0631\u0629\u060c 10 \u062d\u0642\u0628 \u0632\u0645\u0646\u064a\u0629<\/td>\n<td>2 \u0633\u0627\u0639\u0629 \u064838 \u062f\u0642\u064a\u0642\u0629<\/td>\n<td>4 \u0633\u0627\u0639\u0627\u062a \u064802 \u062f\u0642\u064a\u0642\u0629<\/td>\n<td>+53%<\/td>\n<\/tr>\n<tr>\n<td>\u0641\u0644\u0648\u0643\u0633.1 \u062f\u064a\u0641 \u0644\u0648\u0631\u0627\u060c 1 \u0623\u0644\u0641 \u0635\u0648\u0631\u0629\u060c 20 \u062d\u0642\u0628\u0629 \u0632\u0645\u0646\u064a\u0629<\/td>\n<td>3 \u0633\u0627\u0639\u0627\u062a \u064814 \u062f\u0642\u064a\u0642\u0629<\/td>\n<td>5 \u0633\u0627\u0639\u0627\u062a \u064847 \u062f\u0642\u064a\u0642\u0629<\/td>\n<td>+79%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u064a\u064f\u0638\u0647\u0631 \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0623\u0643\u0628\u0631 \u0627\u0644\u0645\u0643\u0627\u0633\u0628 \u0644\u0623\u0646\u0647 \u064a\u0639\u062a\u0645\u062f \u0639\u0644\u0649 \u0643\u0644 \u0645\u0646 \u0627\u0644\u062d\u0648\u0633\u0628\u0629 \u0648\u0639\u0631\u0636 \u0627\u0644\u0646\u0637\u0627\u0642 \u0627\u0644\u062a\u0631\u062f\u062f\u064a \u0641\u064a \u0648\u0642\u062a \u0648\u0627\u062d\u062f\u060c \u0643\u0645\u0627 \u0623\u0646 \u0630\u0627\u0643\u0631\u0629 \u0627\u0644\u062a\u062e\u0632\u064a\u0646 \u0627\u0644\u0645\u0624\u0642\u062a L2 \u0627\u0644\u0623\u0643\u0628\u0631 \u0645\u0646 Blackwell (128 \u0645\u064a\u062c\u0627\u0628\u0627\u064a\u062a \u0645\u0642\u0627\u0628\u0644 72 \u0645\u064a\u062c\u0627\u0628\u0627\u064a\u062a) \u062a\u062d\u0627\u0641\u0638 \u0639\u0644\u0649 \u0627\u0644\u0645\u0632\u064a\u062f \u0645\u0646 \u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0639\u0645\u0644 \u0639\u0644\u0649 \u0627\u0644\u0631\u0642\u0627\u0642\u0629.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Power_thermals_noise\"><\/span>\u0627\u0644\u0637\u0627\u0642\u0629 \u0648\u0627\u0644\u062d\u0631\u0627\u0631\u0629 \u0648\u0627\u0644\u0636\u0648\u0636\u0627\u0621<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u0644\u0645\u0648\u062f\u064a\u0644 5090 \u0647\u0648 <strong>\u0628\u0637\u0627\u0642\u0629 575 \u0648\u0627\u0637<\/strong>. \u0641\u064a \u0638\u0644 \u0627\u0644\u062d\u0645\u0644 \u0627\u0644\u0645\u0633\u062a\u0645\u0631 \u0644\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0641\u0625\u0646\u0647 \u064a\u0633\u062d\u0628 \u0623\u0643\u062b\u0631 \u0645\u0646 \u0630\u0644\u0643 \u0645\u0639 \u0637\u0641\u0631\u0627\u062a \u0639\u0627\u0628\u0631\u0629 \u062a\u0644\u0627\u0645\u0633 700 \u0648\u0627\u0637:<\/p>\n<ul>\n<li><strong>PSU:<\/strong> \u0636\u0639 \u0645\u064a\u0632\u0627\u0646\u064a\u0629 1000 \u0648\u0627\u0637 \u0643\u062d\u062f \u0623\u062f\u0646\u0649\u060c 1200 \u0648\u0627\u0637 \u0625\u0630\u0627 \u0643\u0646\u062a \u062a\u0634\u063a\u0644 Ryzen 9\/i9 \u0625\u0644\u0649 \u062c\u0627\u0646\u0628 \u0630\u0644\u0643. \u064a\u0648\u0635\u0649 \u0628\u0634\u062f\u0629 ATX 3.1 \u0645\u0639 12V-2\u00d76 \u0627\u0644\u0623\u0635\u0644\u064a.<\/li>\n<li><strong>\u062a\u062f\u0641\u0642 \u0647\u0648\u0627\u0621 \u0627\u0644\u0639\u0644\u0628\u0629:<\/strong> \u064a\u0639\u0645\u0644 \u062a\u0635\u0645\u064a\u0645 FE \u0639\u0644\u0649 \u062a\u0646\u0641\u064a\u0633 \u0627\u0644\u062d\u0631\u0627\u0631\u0629 \u062f\u0627\u062e\u0644 \u0627\u0644\u0639\u0644\u0628\u0629 \u0628\u0642\u0648\u0629 \u0623\u0643\u0628\u0631 \u0645\u0646 4090 FE. \u0644\u0645 \u062a\u0639\u062f \u0645\u0631\u0627\u0648\u062d \u0627\u0644\u0633\u062d\u0628 \u0627\u0644\u062b\u0644\u0627\u062b\u0629 \u201c\u0644\u0637\u064a\u0641\u0629\u201d.\u201d<\/li>\n<li><strong>\u0627\u0644\u0636\u0648\u0636\u0627\u0621:<\/strong> \u0639\u0646\u062f \u0627\u0633\u062a\u062e\u062f\u0627\u0645 90%\u060c \u064a\u0628\u0644\u063a \u0645\u0642\u064a\u0627\u0633 FE \u062d\u0648\u0627\u0644\u064a 42 \u062f\u064a\u0633\u064a\u0628\u0644 \u0639\u0646\u062f 1 \u0645\u062a\u0631. 4090 FE 38 \u062f\u064a\u0633\u064a\u0628\u0644 \u0639\u0646\u062f \u0646\u0641\u0633 \u0627\u0644\u062d\u0645\u0644.<\/li>\n<li><strong>\u062a\u0641\u0631\u064a\u063a \u0627\u0644\u062d\u0631\u0627\u0631\u0629:<\/strong> \u0633\u064a\u0624\u062f\u064a \u062a\u0634\u063a\u064a\u0644 8 \u0633\u0627\u0639\u0627\u062a \u0645\u0646 \u0627\u0644\u0636\u0628\u0637 \u0627\u0644\u062f\u0642\u064a\u0642 \u0625\u0644\u0649 \u0632\u064a\u0627\u062f\u0629 \u062f\u0631\u062c\u0629 \u062d\u0631\u0627\u0631\u0629 \u063a\u0631\u0641\u062a\u0643 \u0628\u0634\u0643\u0644 \u0645\u0644\u0645\u0648\u0633.<\/li>\n<\/ul>\n<p>\u0625\u0630\u0627 \u0643\u0646\u062a \u062a\u0636\u0639 \u0647\u0630\u0627 \u0641\u064a \u0645\u0643\u062a\u0628 \u0645\u0646\u0632\u0644\u064a\u060c \u0641\u062e\u0637\u0637 \u0644\u0630\u0644\u0643.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Price-per-performance_reality_check\"><\/span>\u0627\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u0648\u0627\u0642\u0639 \u0627\u0644\u0633\u0639\u0631 \u0645\u0642\u0627\u0628\u0644 \u0627\u0644\u0623\u062f\u0627\u0621<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u0633\u0639\u0631 MSRP ($1999 \u0645\u0642\u0627\u0628\u0644 $1599)\u060c \u0641\u0625\u0646 5090 \u0623\u063a\u0644\u0649 \u0628\u0646\u062d\u0648 25% \u0645\u0642\u0627\u0628\u0644 \u0623\u062f\u0627\u0621 \u0630\u0643\u0627\u0621 \u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0623\u0643\u062b\u0631 \u0628\u0646\u062d\u0648 35% \u064833% \u0623\u0643\u062b\u0631 \u0645\u0646 \u0630\u0627\u0643\u0631\u0629 VRAM. \u0639\u0644\u0649 \u0627\u0644\u0648\u0631\u0642\u060c \u0647\u0630\u0627 \u0647\u0648 \u0627\u0644\u0641\u0648\u0632.<\/p>\n<p>\u0639\u0646\u062f <strong>\u0623\u0633\u0639\u0627\u0631 \u0627\u0644\u0634\u0627\u0631\u0639 \u0641\u064a \u0627\u0644\u0631\u0628\u0639 \u0627\u0644\u062b\u0627\u0646\u064a 2026<\/strong> ($2,400T 5090 \u062c\u062f\u064a\u062f\u0629 \u0645\u0642\u0627\u0628\u0644 $1,200T 4090 \u0645\u0633\u062a\u0639\u0645\u0644\u0629)\u060c \u062a\u0646\u0642\u0644\u0628 \u0627\u0644\u062d\u0633\u0627\u0628\u0627\u062a \u0628\u0634\u062f\u0629. \u0623\u0646\u062a \u062a\u062f\u0641\u0639 \u0627\u0644\u0636\u0639\u0641 \u0645\u0642\u0627\u0628\u0644 35% \u0633\u0631\u0639\u0629 \u0623\u0643\u0628\u0631 \u064833% VRAM \u0623\u0643\u062b\u0631. \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0645\u0639\u0638\u0645 \u0627\u0644\u0645\u0635\u0645\u0645\u064a\u0646\u060c \u0647\u0630\u0647 \u0645\u0642\u0627\u064a\u0636\u0629 \u0633\u064a\u0626\u0629 - \u0625\u0644\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0630\u0627\u0643\u0631\u0629 VRAM \u0647\u064a \u0645\u0627 \u064a\u0632\u064a\u062d \u0639\u0628\u0621 \u0627\u0644\u0639\u0645\u0644 \u0644\u062f\u064a\u0643.<\/p>\n<p>\u0642\u0627\u0639\u062f\u0629 \u0627\u0644\u0642\u0631\u0627\u0631 \u0627\u0644\u0646\u0638\u064a\u0641<\/p>\n<div class=\"convly-procons\">\n<div class=\"pros\">\n<h4>\u0627\u0634\u062a\u0631\u0650 \u0628\u0637\u0627\u0642\u0629 RTX 5090 \u0625\u0630\u0627<\/h4>\n<ul>\n<li>\u062a\u0642\u0648\u0645 \u0628\u062a\u0634\u063a\u064a\u0644 \u0644\u0627\u0645\u0627 3 70B 70B \/ \u0643\u0648\u064a\u0646 72B \/ \u0645\u064a\u0633\u062a\u0631\u0627\u0644 \u0643\u0628\u064a\u0631 2 \u064a\u0648\u0645\u064a\u064b\u0627 \u0648Q4 \u0644\u0627 \u064a\u0643\u0641\u064a<\/li>\n<li>\u0623\u0646\u062a \u062a\u0646\u0634\u0626 \u0641\u064a\u062f\u064a\u0648 \u0628\u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a (Hunyuan\u060c CogVideoX\u060c \u0646\u0645\u0627\u0630\u062c \u0645\u0633\u062a\u0642\u0628\u0644\u064a\u0629 \u0645\u0646 \u0641\u0626\u0629 \u0633\u0648\u0631\u0627)<\/li>\n<li>\u062a\u0642\u0648\u0645 \u0628\u0636\u0628\u0637 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0623\u0643\u0628\u0631 \u0645\u0646 13 \u0628 \u0645\u0646 \u0627\u0644\u0645\u0639\u0644\u0645\u0627\u062a<\/li>\n<li>\u0648\u0642\u062a\u0643 \u064a\u0633\u0627\u0648\u064a \u0623\u0643\u062b\u0631 \u0645\u0646 $40\/\u0633\u0627\u0639\u0629 \u0648\u064a\u0645\u0643\u0646\u0643 \u0625\u0637\u0641\u0627\u0621 \u0627\u0644\u062a\u0631\u0642\u064a\u0629<\/li>\n<li>\u0644\u062f\u064a\u0643 \u0645\u062a\u0633\u0639 \u0641\u064a \u0627\u0644\u0645\u064a\u0632\u0627\u0646\u064a\u0629 \u0644\u0648\u062d\u062f\u0629 PSU \u0628\u0642\u062f\u0631\u0629 1200 \u0648\u0627\u0637 + \u062a\u0628\u0631\u064a\u062f \u0645\u062d\u0633\u0646<\/li>\n<\/ul>\n<\/div>\n<div class=\"cons\">\n<h4>\u0627\u0644\u062a\u0632\u0645 \u0628\u0640 RTX 4090 \u0625\u0630\u0627<\/h4>\n<ul>\n<li>\u0623\u0639\u0628\u0627\u0621 \u0627\u0644\u0639\u0645\u0644 \u0627\u0644\u062e\u0627\u0635\u0629 \u0628\u0643 \u0647\u064a SDXL \u0623\u0648 Llama 3 8B \u0623\u0648 \u0623\u064a \u0634\u064a\u0621 \u064a\u062a\u0633\u0639 \u0628\u0627\u0644\u0641\u0639\u0644 \u0644\u0640 24 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a<\/li>\n<li>\u064a\u0645\u0643\u0646\u0643 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 4090 \u0645\u0633\u062a\u0639\u0645\u0644 \u0628\u0633\u0639\u0631 $1,200-1,400<\/li>\n<li>\u0644\u064a\u0633 \u0644\u062f\u064a\u0643 \u0645\u0633\u0627\u062d\u0629 \u0644\u0644\u0631\u0623\u0633 \u0641\u064a \u0648\u062d\u062f\u0629 PSU \u0623\u0648 \u0627\u0644\u0639\u0644\u0628\u0629<\/li>\n<li>\u0623\u0646\u062a \u062c\u062f\u064a\u062f \u0639\u0644\u0649 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0627\u0644\u0645\u062d\u0644\u064a \u0648\u062a\u0631\u063a\u0628 \u0641\u0642\u0637 \u0641\u064a \u0627\u0644\u0628\u062f\u0621<\/li>\n<li>\u0623\u0646\u062a \u062d\u0633\u0627\u0633 \u0644\u0644\u0633\u0639\u0631 \u0648\u0644\u064a\u0633 \u0644\u062f\u064a\u0643 \u0639\u0628\u0621 \u0639\u0645\u0644 \u0645\u062d\u062f\u062f \u0645\u0631\u062a\u0628\u0637 \u0628\u0630\u0627\u0643\u0631\u0629 \u0648\u0635\u0648\u0644 \u0639\u0634\u0648\u0627\u0626\u064a VRAM<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"What_about_the_alternatives\"><\/span>\u0645\u0627\u0630\u0627 \u0639\u0646 \u0627\u0644\u0628\u062f\u0627\u0626\u0644\u061f<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u064a\u062c\u062f\u0631 \u0628\u0646\u0627 \u062a\u0633\u0645\u064a\u0629 \u0648\u062d\u062f\u0627\u062a \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0631\u0633\u0648\u0645\u0627\u062a \u0627\u0644\u062a\u064a \u0644\u064a\u0633\u062a \u0645\u0646 \u0637\u0631\u0627\u0632 4090 \u0623\u0648 5090\u060c \u0648\u0644\u0643\u0646 \u0642\u062f \u064a\u0643\u0648\u0646 \u0647\u0630\u0627 \u0647\u0648 \u0627\u0644\u0642\u0631\u0627\u0631 \u0627\u0644\u0635\u062d\u064a\u062d:<\/p>\n<ul>\n<li><strong>RTX 3090 \u0645\u0633\u062a\u0639\u0645\u0644\u0629<\/strong> ($600-750) - 24 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a \u0645\u0646 \u0630\u0627\u0643\u0631\u0629 \u0627\u0644\u0648\u0635\u0648\u0644 \u0627\u0644\u0639\u0634\u0648\u0627\u0626\u064a \u0628\u062b\u0644\u062b \u0627\u0644\u0633\u0639\u0631. \u0623\u0628\u0637\u0623 (\u0646\u0635\u0641 \u0633\u0631\u0639\u0629 4090 \u062a\u0642\u0631\u064a\u0628\u064b\u0627 \u0641\u064a \u0645\u0647\u0627\u0645 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a)\u060c \u0648\u0644\u0643\u0646 \u0625\u0630\u0627 \u0643\u0646\u062a \u062a\u0631\u063a\u0628 \u0641\u0642\u0637 \u0641\u064a \u0627\u0644\u0627\u0646\u063a\u0645\u0627\u0633 \u0641\u064a LLMs \u0627\u0644\u0645\u062d\u0644\u064a\u0629\u060c \u0641\u0647\u0648 \u0645\u0644\u0643 \u0627\u0644\u0645\u064a\u0632\u0627\u0646\u064a\u0629 \u0644\u0639\u0627\u0645 2026.<\/li>\n<li><strong>\u0623\u0628\u0644 M4 \u0645\u0627\u0643\u0633 (128 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a)<\/strong> - \u0628\u0646\u064a\u0629 \u0645\u062e\u062a\u0644\u0641\u0629 \u062a\u0645\u0627\u0645\u064b\u0627\u060c \u0648\u0630\u0627\u0643\u0631\u0629 \u0645\u0648\u062d\u062f\u0629\u060c \u0648\u0644\u0627 \u062a\u0648\u062c\u062f CUDA. \u0623\u0628\u0637\u0623 \u0645\u0646 5090 \u0648\u0644\u0643\u0646 \u064a\u0645\u0643\u0646\u0647 \u0627\u0633\u062a\u064a\u0639\u0627\u0628 \u0646\u0645\u0627\u0630\u062c \u0636\u062e\u0645\u0629 (\u064a\u062a\u0633\u0639 \u0644\u0627\u0645\u0627 3 405B \u0641\u064a Q4). \u0625\u0630\u0627 \u0643\u0646\u062a \u062a\u0633\u062a\u062e\u062f\u0645 \u0627\u0644\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0641\u0642\u0637 \u0648\u062a\u062d\u062a\u0627\u062c \u0625\u0644\u0649 \u0623\u0643\u062b\u0631 \u0645\u0646 32 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a \u0645\u0646 \u0627\u0644\u0630\u0627\u0643\u0631\u0629\u060c \u0641\u0647\u0630\u0627 \u062e\u064a\u0627\u0631 \u062c\u0627\u062f. \u0631\u0627\u062c\u0639 <a href=\"\/ar\/apple-m4-max-vs-rtx-5090-ai-workloads\/\">M4 \u0645\u0627\u0643\u0633 \u0645\u0642\u0627\u0628\u0644 RTX 5090 \u0627\u0644\u063a\u0648\u0635 \u0627\u0644\u0639\u0645\u064a\u0642<\/a> \u0644\u0644\u062a\u0641\u0627\u0635\u064a\u0644 \u0627\u0644\u0643\u0627\u0645\u0644\u0629.<\/li>\n<li><strong>\u0646\u0641\u064a\u062f\u064a\u0627 \u062f\u064a\u063a\u064a\u062a\u0633<\/strong> (\u0645\u0634\u0631\u0648\u0639 DIGITS\u060c $3,000) - \u0630\u0627\u0643\u0631\u0629 \u0645\u0648\u062d\u062f\u0629 \u0628\u0633\u0639\u0629 128 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a \u0639\u0644\u0649 \u062c\u0647\u0627\u0632 \u0645\u0643\u062a\u0628\u064a. \u0645\u0635\u0645\u0645 \u0644\u062d\u0627\u0644\u0629 \u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0630\u0647 \u0628\u0627\u0644\u0636\u0628\u0637.<\/li>\n<\/ul>\n<p>\u0648\u0645\u0639 \u0630\u0644\u0643\u060c \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0645\u0639\u0638\u0645 \u0628\u0646\u0627\u0629 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0627\u0644\u0645\u0646\u0632\u0644\u064a\u060c \u0641\u0625\u0646 \u0627\u0644\u0633\u0624\u0627\u0644 \u0627\u0644\u062d\u0642\u064a\u0642\u064a \u0647\u0648 \u0633\u0624\u0627\u0644 \u062b\u0646\u0627\u0626\u064a: 5090 \u0623\u0648 4090. \u0643\u0644 \u0634\u064a\u0621 \u0622\u062e\u0631 \u0647\u0648 \u0645\u062d\u0627\u062f\u062b\u0629 \u0645\u062e\u062a\u0644\u0641\u0629.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"FAQ\"><\/span>\u0627\u0644\u0623\u0633\u0626\u0644\u0629 \u0627\u0644\u0634\u0627\u0626\u0639\u0629<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3>\u0647\u0644 \u064a\u0633\u062a\u062d\u0642 RTX 5090 \u0627\u0644\u0639\u0646\u0627\u0621 \u0639\u0644\u0649 RTX 4090 \u0644\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0641\u064a 2026\u061f<\/h3>\n<p>\u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0645\u0639\u0638\u0645 \u0623\u0639\u0628\u0627\u0621 \u0639\u0645\u0644 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u060c \u0641\u0625\u0646 5090 \u0623\u0633\u0631\u0639 \u0628 30-401 \u062a\u064a\u0631\u0627\u0628\u0627\u064a\u062a \u0648331 \u062a\u064a\u0631\u0627\u0628\u0627\u064a\u062a \u0623\u0643\u062b\u0631 \u0645\u0646 \u0630\u0627\u0643\u0631\u0629 \u0627\u0644\u0648\u0635\u0648\u0644 \u0627\u0644\u0639\u0634\u0648\u0627\u0626\u064a VRAM\u060c \u0648\u0644\u0643\u0646 \u062a\u0643\u0644\u0641\u062a\u0647 251 \u062a\u064a\u0631\u0627\u0628\u0627\u064a\u062a \u0623\u0643\u062b\u0631 \u0641\u064a \u0645\u0634\u0631\u0648\u0639 \u062a\u062c\u062f\u064a\u062f \u0646\u0638\u0645 \u0627\u0644\u0625\u062f\u0627\u0631\u0629 \u0648\u0645\u0636\u0627\u0639\u0641\u0629 \u062a\u0642\u0631\u064a\u0628\u064b\u0627 \u0628\u0623\u0633\u0639\u0627\u0631 \u0627\u0644\u0634\u0627\u0631\u0639 \u0627\u0644\u062d\u0627\u0644\u064a\u0629. \u0627\u0644\u0623\u0645\u0631 \u064a\u0633\u062a\u062d\u0642 \u0627\u0644\u0639\u0646\u0627\u0621 \u0625\u0630\u0627 \u0643\u0646\u062a \u062a\u0635\u0644 \u0628\u0627\u0646\u062a\u0638\u0627\u0645 \u0625\u0644\u0649 \u0633\u0642\u0641 \u0627\u0644\u0640 24 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a \u0627\u0644\u062e\u0627\u0635 \u0628\u0640 4090 - \u062a\u0634\u063a\u064a\u0644 70B+ LLMs \u0623\u0648 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0623\u0648 \u0625\u0646\u0634\u0627\u0621 \u0641\u064a\u062f\u064a\u0648 \u0630\u0643\u0627\u0621 \u0627\u0635\u0637\u0646\u0627\u0639\u064a. \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0640 Stable Diffusion XL \u0648LLMs \u0645\u0646 \u0641\u0626\u0629 8B\u060c \u064a\u0638\u0644 4090 \u0634\u0631\u0627\u0621\u064b \u0645\u0645\u062a\u0627\u0632\u064b\u0627\u060c \u062e\u0627\u0635\u0629\u064b \u0625\u0630\u0627 \u0643\u0627\u0646 \u0633\u0639\u0631\u0647 \u064a\u062a\u0631\u0627\u0648\u062d \u0628\u064a\u0646 $ 1200 \u06481400T.<\/p>\n<h3>\u0647\u0644 \u064a\u0645\u0643\u0646 \u0644\u0640 RTX 5090 \u062a\u0634\u063a\u064a\u0644 Llama 3 405B\u061f<\/h3>\n<p>\u0644\u064a\u0633 \u0641\u064a \u0627\u0644\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0628\u0648\u062d\u062f\u0629 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0631\u0633\u0648\u0645\u0627\u062a \u0627\u0644\u0628\u062d\u062a\u0629 - \u064a\u062d\u062a\u0627\u062c 405B \u0628\u0623\u064a \u0643\u0645\u064a\u0629 \u0642\u0627\u0628\u0644\u0629 \u0644\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0625\u0644\u0649 200 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a+ \u0645\u0646 \u0627\u0644\u0630\u0627\u0643\u0631\u0629. \u0645\u0639 \u0625\u0644\u063a\u0627\u0621 \u062a\u062d\u0645\u064a\u0644 \u0648\u062d\u062f\u0629 \u0627\u0644\u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0645\u0631\u0643\u0632\u064a\u0629 \u0648\u0630\u0627\u0643\u0631\u0629 \u0648\u0635\u0648\u0644 \u0639\u0634\u0648\u0627\u0626\u064a \u0644\u0644\u0646\u0638\u0627\u0645 \u062a\u0632\u064a\u062f \u0639\u0646 256 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a\u060c \u064a\u0645\u0643\u0646\u0643 \u062a\u0634\u063a\u064a\u0644\u0647 \u0639\u0644\u0649 5090 \u0628\u0633\u0631\u0639\u0629 1-2 \u0631\u0645\u0632\/\u062b\u0627\u0646\u064a\u0629\u060c \u0648\u0647\u0648 \u0628\u0637\u064a\u0621 \u062c\u062f\u064b\u0627 \u0644\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u064a\u0648\u0645\u064a. \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0625\u0644\u0649 Llama 3 405B \u0645\u062d\u0644\u064a\u064b\u0627\u060c \u0627\u0646\u0638\u0631 \u0625\u0644\u0649 \u0625\u0639\u062f\u0627\u062f\u0627\u062a \u0648\u062d\u062f\u0627\u062a \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0631\u0633\u0648\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u062a\u0639\u062f\u062f\u0629\u060c \u0623\u0648 Mac Studio M4 Ultra (512 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a)\u060c \u0623\u0648 Nvidia DIGITS.<\/p>\n<h3>\u0645\u0627 \u0645\u0642\u062f\u0627\u0631 VRAM \u0627\u0644\u0630\u064a \u064a\u062d\u062a\u0627\u062c\u0647 Llama 3 70B \u0639\u0644\u0649 RTX 5090\u061f<\/h3>\n<p>\u0641\u064a Q4_K_M \u0645\u0639 \u0633\u064a\u0627\u0642 8K\u060c \u064a\u0634\u063a\u0644 Llama 3 70B \u062d\u0648\u0627\u0644\u064a 28 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a \u0645\u0646 VRAM \u0639\u0644\u0649 5090\u060c \u0645\u0645\u0627 \u064a\u062a\u0631\u0643 \u0645\u0633\u0627\u062d\u0629 4 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a \u0644\u0646\u0638\u0627\u0645 \u0627\u0644\u062a\u0634\u063a\u064a\u0644 \u0648\u0627\u0644\u062a\u0637\u0628\u064a\u0642\u0627\u062a \u0627\u0644\u0623\u062e\u0631\u0649. \u0641\u064a Q5_K_M \u062a\u0635\u0644 \u0625\u0644\u0649 31 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a\u060c \u0648\u0647\u064a \u0645\u0633\u0627\u062d\u0629 \u0636\u064a\u0642\u0629 \u0648\u0644\u0643\u0646\u0647\u0627 \u0642\u0627\u0628\u0644\u0629 \u0644\u0644\u062a\u0637\u0628\u064a\u0642. \u0639\u0646\u062f Q8 \u0644\u0627 \u064a\u062a\u0633\u0639\u061b \u0633\u062a\u062d\u062a\u0627\u062c \u0625\u0644\u0649 \u0628\u0637\u0627\u0642\u0629 \u0628\u0633\u0639\u0629 48 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a (A6000 Ada) \u0623\u0648 \u0648\u062d\u062f\u062a\u064a GPU.<\/p>\n<h3>\u0647\u0644 \u064a\u0639\u0645\u0644 RTX 5090 \u0645\u0639 \u0627\u0644\u0644\u0648\u062d\u0627\u062a \u0627\u0644\u0623\u0645 PCIe 4.0\u061f<\/h3>\n<p>\u0646\u0639\u0645. 5090 \u0647\u0648 PCIe 5.0 x16 \u0623\u0635\u0644\u064a \u0648\u0644\u0643\u0646\u0647 \u0645\u062a\u0648\u0627\u0641\u0642 \u062a\u0645\u0627\u0645\u064b\u0627 \u0645\u0639 PCIe 4.0. \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0623\u0639\u0628\u0627\u0621 \u0639\u0645\u0644 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u060c \u064a\u0643\u0648\u0646 \u0641\u0631\u0642 \u0639\u0631\u0636 \u0627\u0644\u0646\u0637\u0627\u0642 \u0627\u0644\u062a\u0631\u062f\u062f\u064a \u0636\u0626\u064a\u0644\u064b\u0627 - \u0644\u0646 \u062a\u0642\u064a\u0633 \u0641\u0631\u0642\u064b\u0627 \u062e\u0627\u0631\u062c \u0646\u0637\u0627\u0642 \u062a\u062d\u0645\u064a\u0644 \u0646\u0645\u0627\u0630\u062c \u0648\u062d\u062f\u0627\u062a \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0631\u0633\u0648\u0645\u0627\u062a \u0627\u0644\u0645\u062a\u0639\u062f\u062f\u0629.<\/p>\n<h3>\u0645\u0627 \u0648\u062d\u062f\u0629 PSU \u0627\u0644\u062a\u064a \u0623\u062d\u062a\u0627\u062c\u0647\u0627 \u0644\u0645\u062d\u0637\u0629 \u0639\u0645\u0644 RTX 5090 AI\u061f<\/h3>\n<p>\u0648\u062d\u062f\u0629 PSU \u0639\u0627\u0644\u064a\u0629 \u0627\u0644\u062c\u0648\u062f\u0629 1000 \u0648\u0627\u0637 \u0647\u064a \u0627\u0644\u062d\u062f \u0627\u0644\u0623\u062f\u0646\u0649\u060c \u0648\u064a\u0648\u0635\u0649 \u0628\u0640 1200 \u0648\u0627\u0637\u060c \u06481600 \u0648\u0627\u0637 \u0645\u0646\u0627\u0633\u0628\u0629 \u0625\u0630\u0627 \u0643\u0646\u062a \u062a\u0642\u062a\u0631\u0646 \u0628\u0640 9950X \u0623\u0648 Threadripper \u0648\u062a\u062e\u0637\u0637 \u0644\u0636\u0628\u0637\u0647\u0627 \u0644\u0623\u0643\u062b\u0631 \u0645\u0646 8 \u0633\u0627\u0639\u0627\u062a \u0641\u064a \u0643\u0644 \u0645\u0631\u0629. \u0627\u0628\u062d\u062b \u0639\u0644\u0649 \u0648\u062c\u0647 \u0627\u0644\u062a\u062d\u062f\u064a\u062f \u0639\u0646 \u0645\u0648\u0627\u0635\u0641\u0627\u062a ATX 3.1 \u0628\u0645\u0648\u0627\u0635\u0641\u0627\u062a ATX 3.1 \u0645\u0639 \u0645\u0648\u0635\u0644\u0627\u062a 12V-2\u00d76 \u0623\u0635\u0644\u064a\u0629 - \u0627\u0644\u0645\u062d\u0648\u0644\u0627\u062a \u062a\u0639\u0645\u0644 \u0648\u0644\u0643\u0646\u0647\u0627 \u062a\u0636\u064a\u0641 \u0646\u0642\u0627\u0637 \u0641\u0634\u0644.<\/p>\n<h3>\u0647\u0644 \u0644\u0627 \u062a\u0632\u0627\u0644 RTX 4090 \u062c\u064a\u062f\u0629 \u0644\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0641\u064a \u0639\u0627\u0645 2026\u061f<\/h3>\n<p>\u0646\u0639\u0645\u060c \u0644\u0627 \u062a\u0632\u0627\u0644 RTX 4090 \u0648\u062d\u062f\u0629 \u0645\u0639\u0627\u0644\u062c\u0629 \u0631\u0633\u0648\u0645\u0627\u062a \u0630\u0643\u0627\u0621 \u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0645\u0645\u062a\u0627\u0632\u0629 \u0641\u064a \u0639\u0627\u0645 2026\u060c \u062e\u0627\u0635\u0629\u064b \u0639\u0646\u062f \u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647\u0627 \u0628\u0633\u0631\u0639\u0629 $1200-1,400. \u0641\u0647\u064a \u062a\u0634\u063a\u0644 \u0643\u0644 \u0623\u0639\u0628\u0627\u0621 \u0639\u0645\u0644 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0644\u0644\u0645\u0633\u062a\u0647\u0644\u0643\u064a\u0646 \u0628\u0633\u0631\u0639\u0629 \u0639\u0627\u0644\u064a\u0629\u060c \u0648\u062a\u062f\u0639\u0645 CUDA \u0628\u0627\u0644\u0643\u0627\u0645\u0644\u060c \u0648\u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 24 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a \u0645\u0646 \u0630\u0627\u0643\u0631\u0629 \u0627\u0644\u0648\u0635\u0648\u0644 \u0627\u0644\u0639\u0634\u0648\u0627\u0626\u064a \u0627\u0644\u0627\u0641\u062a\u0631\u0627\u0636\u064a\u0629 - \u0648\u0647\u0648 \u0627\u0644\u062d\u062f \u0627\u0644\u0630\u064a \u062a\u0633\u062a\u0647\u062f\u0641\u0647 \u0645\u0639\u0638\u0645 \u0627\u0644\u0637\u0631\u0632. \u0646\u0642\u0637\u0629 \u0636\u0639\u0641\u0647 \u0627\u0644\u0648\u062d\u064a\u062f\u0629 \u0647\u064a \u0641\u064a \u062d\u0627\u0641\u0629 \u0627\u0644\u0646\u0632\u064a\u0641: \u0641\u064a\u062f\u064a\u0648 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u060c \u064870B+ LLMs \u0641\u064a \u0627\u0644\u0643\u0648\u0627\u062f\u0631 \u0639\u0627\u0644\u064a\u0629 \u0627\u0644\u062c\u0648\u062f\u0629\u060c \u0648\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0636\u0628\u0637 \u0627\u0644\u062f\u0642\u064a\u0642 \u0644\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062a\u064a \u062a\u0632\u064a\u062f \u0639\u0646 13B \u0645\u0639\u0644\u0645\u0629. \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0643\u0644 \u0634\u064a\u0621 \u0622\u062e\u0631\u060c \u0644\u0627 \u064a\u0632\u0627\u0644 \u0645\u0644\u0643 \u0627\u0644\u0633\u0639\u0631\/\u0627\u0644\u0623\u062f\u0627\u0621.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Bottom_line\"><\/span>\u0627\u0644\u062e\u0644\u0627\u0635\u0629<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062a\u064f\u0639\u062f RTX 5090 \u0648\u062d\u062f\u0629 \u0645\u0639\u0627\u0644\u062c\u0629 \u0631\u0633\u0648\u0645\u0627\u062a \u0630\u0643\u0627\u0621 \u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0623\u0641\u0636\u0644 \u062d\u0642\u064b\u0627 \u0645\u0646 RTX 4090 - \u0628\u0645\u0642\u062f\u0627\u0631 30-401 \u062a\u064a\u0631\u0627\u0628\u0627\u064a\u062a \u0641\u064a \u0627\u0644\u0633\u0631\u0639\u0629 \u0627\u0644\u062e\u0627\u0645 \u0648331 \u062a\u064a\u0631\u0627\u0628\u0627\u064a\u062a \u0641\u064a \u0645\u0633\u0627\u062d\u0629 \u0631\u0623\u0633 \u0630\u0627\u0643\u0631\u0629 \u0627\u0644\u0648\u0627\u0642\u0639 \u0627\u0644\u0627\u0641\u062a\u0631\u0627\u0636\u064a. \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0630\u0644\u0643 \u064a\u0633\u062a\u062d\u0642 \u0636\u0639\u0641 \u0633\u0639\u0631 \u0627\u0644\u0634\u0627\u0631\u0639 \u062a\u0642\u0631\u064a\u0628\u064b\u0627 \u064a\u0639\u062a\u0645\u062f \u0643\u0644\u064a\u064b\u0627 \u0639\u0644\u0649 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0633\u0639\u0629 24 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a \u0641\u064a 4090 \u062a\u0639\u064a\u0642\u0643 \u062d\u0627\u0644\u064a\u064b\u0627.<\/p>\n<p>\u0625\u0630\u0627 \u0643\u0646\u062a \u0642\u062f \u062d\u062f\u0642\u062a \u0641\u064a \u0623\u064a \u0648\u0642\u062a \u0645\u0636\u0649 \u0641\u064a \u062e\u0637\u0623 OOM \u0641\u064a \u0645\u062d\u0627\u0648\u0644\u0629 \u062a\u0634\u063a\u064a\u0644 Llama 3 70B \u0628\u0643\u0645\u064a\u0629 \u0645\u0646\u0627\u0633\u0628\u0629\u060c \u0623\u0648 \u0625\u0630\u0627 \u0643\u0646\u062a \u0642\u062f \u0634\u0627\u0647\u062f\u062a \u0645\u0628\u0627\u062f\u0644\u0629 4090 \u0625\u0644\u0649 \u0648\u062d\u062f\u0629 \u0627\u0644\u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0645\u0631\u0643\u0632\u064a\u0629 \u0644\u0625\u0644\u063a\u0627\u0621 \u0627\u0644\u062a\u062d\u0645\u064a\u0644 \u0641\u064a \u0645\u0646\u062a\u0635\u0641 \u0627\u0644\u062c\u064a\u0644 \u0639\u0644\u0649 Hunyuan Video\u060c \u0641\u0625\u0646 5090 \u0647\u0648 \u0627\u0644\u062a\u0631\u0642\u064a\u0629 \u0627\u0644\u062a\u064a \u0643\u0646\u062a \u0628\u062d\u0627\u062c\u0629 \u0625\u0644\u064a\u0647\u0627 \u0645\u0646\u0630 \u0639\u0627\u0645\u064a\u0646.<\/p>\n<p>\u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0623\u0639\u0628\u0627\u0621 \u0627\u0644\u0639\u0645\u0644 \u0627\u0644\u062e\u0627\u0635\u0629 \u0628\u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0644\u062f\u064a\u0643 \u062a\u062a\u0646\u0627\u0633\u0628 \u0628\u0633\u0639\u0627\u062f\u0629 \u0645\u0639 24 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a \u0627\u0644\u064a\u0648\u0645\u060c \u0641\u0627\u062d\u0641\u0638 $1,000+ \u0648\u0636\u0639\u0647\u0627 \u0641\u064a \u0648\u062d\u062f\u0629 PSU \u0623\u0641\u0636\u0644\u060c \u0623\u0648 SSD \u0623\u0633\u0631\u0639\u060c \u0623\u0648 - \u0648\u0647\u0648 \u0623\u0645\u0631 \u0645\u062b\u064a\u0631 \u0644\u0644\u062c\u062f\u0644 - \u0641\u064a 3090 \u062b\u0627\u0646\u064a\u0629 \u0645\u0633\u062a\u062e\u062f\u0645\u0629 \u0644\u0644\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0645\u062a\u0639\u062f\u062f \u0648\u062d\u062f\u0627\u062a \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0631\u0633\u0648\u0645\u0627\u062a. \u0625\u0646 \u0627\u0644\u0639\u0648\u0627\u0626\u062f \u0627\u0644\u0645\u062a\u0646\u0627\u0642\u0635\u0629 \u0641\u0648\u0642 24 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a \u0645\u0646 \u0630\u0627\u0643\u0631\u0629 \u0627\u0644\u0648\u0635\u0648\u0644 \u0627\u0644\u0639\u0634\u0648\u0627\u0626\u064a \u0627\u0644\u0627\u0641\u062a\u0631\u0627\u0636\u064a\u0629 \u062d\u0642\u064a\u0642\u064a\u0629\u060c \u0648\u0647\u064a \u0623\u0643\u062b\u0631 \u0648\u0636\u0648\u062d\u064b\u0627 \u0645\u0645\u0627 \u064a\u062c\u0639\u0644\u0647\u0627 \u0627\u0644\u062a\u0633\u0648\u064a\u0642 \u062a\u0628\u062f\u0648 \u0639\u0644\u064a\u0647.<\/p>\n<p><!--related-block--><\/p>\n<div class=\"convly-related\">\n<h2><span class=\"ez-toc-section\" id=\"Related_articles\"><\/span>\u0645\u0642\u0627\u0644\u0627\u062a \u0630\u0627\u062a \u0635\u0644\u0629<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><a href=\"https:\/\/convly.ai\/ar\/qwen3-30b-a3b-vs-qwen3-32b\/\">Qwen3 30B-A3B vs Qwen3 32B: Specs, Pricing &amp; Which to Choose (2026)<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/ar\/rx-7900-xtx-vs-rtx-4090-for-ai\/\">AMD RX 7900 XTX \u0645\u0642\u0627\u0628\u0644 RTX 4090 \u0644\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0641\u064a \u0639\u0627\u0645 2026: \u0647\u0644 \u064a\u0645\u0643\u0646 \u0644\u0645\u0646\u0635\u0629 ROCm \u0627\u0644\u0645\u0646\u0627\u0641\u0633\u0629\u061f<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/ar\/rtx-5080-vs-rtx-4080-super-for-ai\/\">RTX 5080 \u0645\u0642\u0627\u0628\u0644 RTX 4080 Super \u0644\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0641\u064a \u0639\u0627\u0645 2026: \u0647\u0644 \u0627\u0644\u0641\u0627\u0631\u0642 \u0628\u064a\u0646 \u0627\u0644\u062c\u064a\u0644\u064a\u0646 \u0643\u0628\u064a\u0631 \u0623\u0645 \u0623\u0646 \u0627\u0644\u062a\u0631\u0642\u064a\u0629 \u0637\u0641\u064a\u0641\u0629\u061f<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/ar\/rtx-5070-ti-vs-rtx-4070-ti-super-for-ai\/\">RTX 5070 Ti \u0645\u0642\u0627\u0628\u0644 RTX 4070 Ti Super \u0644\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0641\u064a \u0639\u0627\u0645 2026: \u0645\u0648\u0627\u062c\u0647\u0629 \u0641\u064a \u0627\u0644\u0641\u0626\u0629 \u0627\u0644\u0645\u062a\u0648\u0633\u0637\u0629<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/ar\/rtx-4090-vs-rtx-3090-for-ai\/\">RTX 4090 \u0645\u0642\u0627\u0628\u0644 RTX 3090 \u0644\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0641\u064a \u0639\u0627\u0645 2026: \u0647\u0644 \u062a\u0633\u062a\u062d\u0642 \u0627\u0644\u062a\u0631\u0642\u064a\u0629 \u062d\u0642\u064b\u0651\u0627\u061f<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u062a\u0648\u0641\u0631 RTX 5090 \u0633\u0639\u0629 32 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a \u0645\u0646 GDDR7 \u064830% \u062a\u0642\u0631\u064a\u0628\u064b\u0627 \u0645\u0646 \u0625\u0646\u062a\u0627\u062c\u064a\u0629 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0623\u0643\u062b\u0631 \u0645\u0646 4090 - \u0648\u0644\u0643\u0646 \u0647\u0644 \u0647\u064a \u0627\u0644\u0634\u0631\u0627\u0621 \u0627\u0644\u0645\u0646\u0627\u0633\u0628 \u0644\u062a\u0648\u0644\u064a\u062f \u0627\u0644\u0635\u0648\u0631 \u0623\u0648 LLMs \u0627\u0644\u0645\u062d\u0644\u064a\u0629 \u0623\u0648 \u0627\u0644\u0636\u0628\u0637 \u0627\u0644\u062f\u0642\u064a\u0642\u061f \u0645\u0639\u0627\u064a\u064a\u0631 \u062d\u0642\u064a\u0642\u064a\u0629\u060c \u062d\u0643\u0645 \u062d\u0642\u064a\u0642\u064a.<\/p>","protected":false},"author":1,"featured_media":270,"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":[246],"tags":[281,284,283,280,251,282],"class_list":["post-263","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-comparisons","tag-ai-gpu","tag-blackwell","tag-llm-inference","tag-rtx-4090","tag-rtx-5090","tag-stable-diffusion-benchmark"],"_links":{"self":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/posts\/263","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/comments?post=263"}],"version-history":[{"count":4,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/posts\/263\/revisions"}],"predecessor-version":[{"id":1524,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/posts\/263\/revisions\/1524"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/media\/270"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/media?parent=263"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/categories?post=263"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/tags?post=263"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}