{"id":8816,"date":"2025-07-11T09:19:26","date_gmt":"2025-07-11T09:19:26","guid":{"rendered":"https:\/\/gpucore.co\/?post_type=product&#038;p=8816"},"modified":"2026-06-08T04:30:17","modified_gmt":"2026-06-08T04:30:17","slug":"rtx-4090-48gb-ai-edition","status":"publish","type":"product","link":"https:\/\/gpucore.co\/en\/shop\/rtx-4090-48gb-ai-edition\/","title":{"rendered":"RTX 4090 48GB AI Edition"},"content":{"rendered":"<p><strong data-start=\"297\" data-end=\"325\">\u0e08\u0e38\u0e14\u0e40\u0e14\u0e48\u0e19\u0e02\u0e2d\u0e07 RTX 4090 48GB<\/strong><\/p>\n<ul>\n<li data-start=\"328\" data-end=\"677\"><strong data-start=\"330\" data-end=\"350\">VRAM 48GB GDDR6X<\/strong>\u00a0\u2013 \u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e42\u0e21\u0e40\u0e14\u0e25 AI \u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e02\u0e19\u0e32\u0e14\u0e43\u0e2b\u0e0d\u0e48<\/li>\n<li data-start=\"328\" data-end=\"677\"><strong data-start=\"412\" data-end=\"449\">Tensor Cores &amp; RT Cores \u0e40\u0e08\u0e19\u0e25\u0e48\u0e32\u0e2a\u0e38\u0e14<\/strong>\u00a0\u2013 \u0e40\u0e23\u0e48\u0e07\u0e01\u0e32\u0e23\u0e17\u0e33\u0e07\u0e32\u0e19\u0e02\u0e2d\u0e07\u00a0<strong data-start=\"468\" data-end=\"501\">AI Processing \u0e41\u0e25\u0e30 Ray Tracing<\/strong><\/li>\n<li data-start=\"328\" data-end=\"677\"><strong data-start=\"506\" data-end=\"552\">\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a Stable Diffusion, LLMs, AI Training<\/strong>\u00a0\u2013 \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e1e\u0e25\u0e31\u0e07\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e02\u0e31\u0e49\u0e19\u0e2a\u0e39\u0e07<\/li>\n<li data-start=\"328\" data-end=\"677\"><strong data-start=\"603\" data-end=\"631\">\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a Multi-GPU Scaling<\/strong>\u00a0\u2013 \u0e1b\u0e23\u0e31\u0e1a\u0e41\u0e15\u0e48\u0e07\u0e40\u0e0b\u0e34\u0e23\u0e4c\u0e1f\u0e40\u0e27\u0e2d\u0e23\u0e4c\u0e43\u0e2b\u0e49\u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e21\u0e01\u0e31\u0e1a\u0e07\u0e32\u0e19\u0e02\u0e2d\u0e07\u0e04\u0e38\u0e13<\/li>\n<\/ul>\n<p data-start=\"472\" data-end=\"506\"><strong>Key Features<\/strong><\/p>\n<ul data-start=\"507\" data-end=\"858\">\n<li data-start=\"507\" data-end=\"533\"><strong data-start=\"509\" data-end=\"524\">CUDA Cores :\u00a0<\/strong>\u00a016,384<\/li>\n<li data-start=\"534\" data-end=\"562\"><strong data-start=\"536\" data-end=\"551\">Base Clock :\u00a0<\/strong>\u00a02.23 GHz<\/li>\n<li data-start=\"563\" data-end=\"592\"><strong data-start=\"565\" data-end=\"581\">Boost Clock :\u00a0<\/strong>\u00a02.52 GHz<\/li>\n<li data-start=\"593\" data-end=\"618\"><strong data-start=\"595\" data-end=\"608\">RT Cores :<\/strong>\u00a03rd-gen<\/li>\n<li data-start=\"619\" data-end=\"648\"><strong data-start=\"621\" data-end=\"638\">Tensor Cores :<\/strong>\u00a04th-gen<\/li>\n<li data-start=\"649\" data-end=\"676\"><strong data-start=\"651\" data-end=\"662\">Memory :<\/strong>\u00a048 GB GDDR6x<\/li>\n<li data-start=\"747\" data-end=\"771\"><strong data-start=\"749\" data-end=\"764\">Power Draw :<\/strong>\u00a0450W<\/li>\n<li data-start=\"831\" data-end=\"858\"><strong data-start=\"833\" data-end=\"847\">Interface :<\/strong>\u00a0PCIe 4.0<\/li>\n<\/ul>\n<p><strong data-start=\"690\" data-end=\"719\">\u0e1c\u0e25\u0e01\u0e32\u0e23\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e08\u0e23\u0e34\u0e07<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter size-full wp-image-26196\" src=\"https:\/\/dronexr.org\/wp-content\/uploads\/2025\/03\/223-1.webp\" alt=\"\" width=\"2160\" height=\"1695\" \/><\/p>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" class=\"aligncenter size-fusion800 wp-image-26197 lazyloaded\" src=\"https:\/\/dronexr.org\/wp-content\/uploads\/2025\/03\/224-1.webp\" alt=\"\" width=\"2073\" height=\"1420\" data-src=\"https:\/\/dronexr.org\/wp-content\/uploads\/2025\/03\/224-1.webp\" \/><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li data-start=\"722\" data-end=\"968\"><strong data-start=\"725\" data-end=\"746\">Throughput \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14<\/strong>\u00a0\u2013 1032.12 tok\/s \u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e42\u0e21\u0e40\u0e14\u0e25\u0e02\u0e19\u0e32\u0e14\u0e43\u0e2b\u0e0d\u0e48<\/li>\n<li data-start=\"722\" data-end=\"968\"><strong data-start=\"799\" data-end=\"817\">Latency \u0e15\u0e48\u0e33\u0e2a\u0e38\u0e14<\/strong>\u00a0\u2013 \u0e40\u0e1e\u0e35\u0e22\u0e07 2.22 \u0e27\u0e34\u0e19\u0e32\u0e17\u0e35 \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e04\u0e27\u0e32\u0e21\u0e40\u0e23\u0e47\u0e27\u0e2a\u0e39\u0e07<\/li>\n<li data-start=\"722\" data-end=\"968\"><strong data-start=\"874\" data-end=\"911\">\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a Parallel Processing \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14<\/strong>\u00a0\u2013 \u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d\u0e44\u0e14\u0e49\u0e16\u0e36\u0e07\u00a0<strong data-start=\"930\" data-end=\"942\">40 \u0e01\u0e32\u0e23\u0e4c\u0e14<\/strong>\u00a0\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a Multi-GPU Server<\/li>\n<\/ul>\n<p><strong data-start=\"982\" data-end=\"1005\">\u0e1a\u0e23\u0e34\u0e01\u0e32\u0e23\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e21\u0e37\u0e2d\u0e2d\u0e32\u0e0a\u0e35\u0e1e<\/strong><\/p>\n<ul>\n<li data-start=\"1008\" data-end=\"1222\"><strong data-start=\"1010\" data-end=\"1032\">\u0e23\u0e31\u0e1a\u0e1b\u0e23\u0e30\u0e01\u0e31\u0e19 3 \u0e1b\u0e35\u0e40\u0e15\u0e47\u0e21<\/strong>\u00a0\u2013 \u0e21\u0e31\u0e48\u0e19\u0e43\u0e08\u0e44\u0e14\u0e49\u0e43\u0e19\u0e04\u0e38\u0e13\u0e20\u0e32\u0e1e<\/li>\n<li data-start=\"1008\" data-end=\"1222\"><strong data-start=\"1057\" data-end=\"1095\">\u0e43\u0e2b\u0e49\u0e04\u0e33\u0e1b\u0e23\u0e36\u0e01\u0e29\u0e32\u0e43\u0e19\u0e01\u0e32\u0e23\u0e08\u0e31\u0e14\u0e2a\u0e40\u0e1b\u0e04\u0e40\u0e0b\u0e34\u0e23\u0e4c\u0e1f\u0e40\u0e27\u0e2d\u0e23\u0e4c<\/strong>\u00a0\u2013 \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14<\/li>\n<li data-start=\"1008\" data-end=\"1222\"><strong data-start=\"1145\" data-end=\"1177\">\u0e1a\u0e23\u0e34\u0e01\u0e32\u0e23\u0e1e\u0e31\u0e12\u0e19\u0e32\u0e0b\u0e2d\u0e1f\u0e15\u0e4c\u0e41\u0e27\u0e23\u0e4c\u0e40\u0e09\u0e1e\u0e32\u0e30\u0e17\u0e32\u0e07<\/strong>\u00a0\u2013 \u0e40\u0e1e\u0e34\u0e48\u0e21\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e01\u0e32\u0e23\u0e17\u0e33\u0e07\u0e32\u0e19\u0e23\u0e48\u0e27\u0e21\u0e01\u0e31\u0e1a\u0e2e\u0e32\u0e23\u0e4c\u0e14\u0e41\u0e27\u0e23\u0e4c<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>RTX 4090 48GB AI Edition \u2013 \u0e1e\u0e25\u0e31\u0e07\u0e17\u0e35\u0e48\u0e40\u0e2b\u0e19\u0e37\u0e2d\u0e01\u0e27\u0e48\u0e32\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e02\u0e31\u0e49\u0e19\u0e2a\u0e39\u0e07\u0e1b\u0e25\u0e14\u0e25\u0e47\u0e2d\u0e01\u0e02\u0e35\u0e14\u0e08\u0e33\u0e01\u0e31\u0e14\u0e02\u0e2d\u0e07 AI \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e2b\u0e19\u0e31\u0e01 \u0e14\u0e49\u0e27\u0e22\u0e1e\u0e25\u0e31\u0e07\u0e02\u0e2d\u0e07 RTX 4090 \u0e23\u0e38\u0e48\u0e19\u0e1e\u0e34\u0e40\u0e28\u0e29\u0e17\u0e35\u0e48\u0e2d\u0e31\u0e1b\u0e40\u0e01\u0e23\u0e14 VRAM \u0e40\u0e1b\u0e47\u0e19 48GB<br \/>\n\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 AI Training, Deep Learning, Data Science, 3D Rendering, VFX, \u0e41\u0e25\u0e30 High-Performance Computing \u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e21\u0e35\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14<\/p>","protected":false},"featured_media":8817,"comment_status":"open","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"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":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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\u0e1e\u0e25\u0e31\u0e07\u0e17\u0e35\u0e48\u0e40\u0e2b\u0e19\u0e37\u0e2d\u0e01\u0e27\u0e48\u0e32\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e02\u0e31\u0e49\u0e19\u0e2a\u0e39\u0e07\u0e1b\u0e25\u0e14\u0e25\u0e47\u0e2d\u0e01\u0e02\u0e35\u0e14\u0e08\u0e33\u0e01\u0e31\u0e14\u0e02\u0e2d\u0e07 AI \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e2b\u0e19\u0e31\u0e01 \u0e14\u0e49\u0e27\u0e22\u0e1e\u0e25\u0e31\u0e07\u0e02\u0e2d\u0e07 RTX 4090 \u0e23\u0e38\u0e48\u0e19\u0e1e\u0e34\u0e40\u0e28\u0e29\u0e17\u0e35\u0e48\u0e2d\u0e31\u0e1b\u0e40\u0e01\u0e23\u0e14 VRAM \u0e40\u0e1b\u0e47\u0e19 48GB\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/gpucore.co\/en\/shop\/rtx-4090-48gb-ai-edition\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" 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