{"id":38160,"date":"2025-03-20T14:38:38","date_gmt":"2025-03-20T07:38:38","guid":{"rendered":"https:\/\/mtxr.co\/?post_type=product&#038;p=38160"},"modified":"2026-01-29T11:19:33","modified_gmt":"2026-01-29T04:19:33","slug":"rtx-4090-48gb","status":"publish","type":"product","link":"https:\/\/mtxr.co\/zh\/shop\/rtx-4090-48gb\/","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> \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> \u2013 \u0e40\u0e23\u0e48\u0e07\u0e01\u0e32\u0e23\u0e17\u0e33\u0e07\u0e32\u0e19\u0e02\u0e2d\u0e07 <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> \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> \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>\u0e04\u0e38\u0e13\u0e2a\u0e21\u0e1a\u0e31\u0e15\u0e34\u0e2b\u0e25\u0e31\u0e01<\/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> 16,384<\/li>\n<li data-start=\"534\" data-end=\"562\"><strong data-start=\"536\" data-end=\"551\">Base Clock :\u00a0<\/strong> 2.23 GHz<\/li>\n<li data-start=\"563\" data-end=\"592\"><strong data-start=\"565\" data-end=\"581\">Boost Clock :\u00a0<\/strong> 2.52 GHz<\/li>\n<li data-start=\"593\" data-end=\"618\"><strong data-start=\"595\" data-end=\"608\">RT Cores :<\/strong> 3rd-gen<\/li>\n<li data-start=\"619\" data-end=\"648\"><strong data-start=\"621\" data-end=\"638\">Tensor Cores :<\/strong> 4th-gen<\/li>\n<li data-start=\"649\" data-end=\"676\"><strong data-start=\"651\" data-end=\"662\">Memory :<\/strong> 48 GB GDDR6x<\/li>\n<li data-start=\"747\" data-end=\"771\"><strong data-start=\"749\" data-end=\"764\">Power Draw :<\/strong> 450W<\/li>\n<li data-start=\"831\" data-end=\"858\"><strong data-start=\"833\" data-end=\"847\">Interface :<\/strong> PCIe 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 decoding=\"async\" class=\"aligncenter wp-image-38257\" src=\"https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/223-1-1024x804.webp\" alt=\"\" width=\"766\" height=\"601\" srcset=\"https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/223-1-200x157.webp 200w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/223-1-300x235.webp 300w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/223-1-400x314.webp 400w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/223-1-500x392.webp 500w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/223-1-600x471.webp 600w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/223-1-700x549.webp 700w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/223-1-768x603.webp 768w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/223-1-800x628.webp 800w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/223-1-1024x804.webp 1024w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/223-1-1200x942.webp 1200w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/223-1-1536x1205.webp 1536w\" sizes=\"(max-width: 766px) 100vw, 766px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" class=\"aligncenter wp-image-38258\" src=\"https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/224-1-1024x701.webp\" alt=\"\" width=\"771\" height=\"528\" srcset=\"https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/224-1-200x137.webp 200w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/224-1-300x205.webp 300w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/224-1-400x274.webp 400w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/224-1-500x342.webp 500w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/224-1-600x411.webp 600w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/224-1-700x479.webp 700w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/224-1-768x526.webp 768w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/224-1-800x548.webp 800w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/224-1-1024x701.webp 1024w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/224-1-1200x822.webp 1200w, https:\/\/mtxr.co\/wp-content\/uploads\/2025\/03\/224-1-1536x1052.webp 1536w\" sizes=\"(max-width: 771px) 100vw, 771px\" \/><\/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> \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> \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> \u2013 \u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d\u0e44\u0e14\u0e49\u0e16\u0e36\u0e07 <strong data-start=\"930\" data-end=\"942\">40 \u0e01\u0e32\u0e23\u0e4c\u0e14<\/strong> \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> \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> \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> \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>\n<p>&nbsp;<\/p>","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>\n<h4><strong>\u0e2b\u0e32\u0e01\u0e2a\u0e19\u0e43\u0e08\u0e2a\u0e34\u0e19\u0e04\u0e49\u0e32 \u0e42\u0e1b\u0e23\u0e14\u0e15\u0e34\u0e14\u0e15\u0e48\u0e2d\u0e2a\u0e2d\u0e1a\u0e16\u0e32\u0e21\ud83d\udcac LINE ID:\u00a0 <a href=\"https:\/\/page.line.me\/682mqqmh?openQrModal=true\">@metaxr<\/a><\/strong><\/h4>","protected":false},"featured_media":38256,"template":"","meta":[],"product_brand":[],"product_cat":[460],"product_tag":[],"class_list":{"0":"post-38160","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-mini-micro-pc-egpu","8":"first","9":"instock","10":"taxable","11":"shipping-taxable","12":"product-type-simple"},"_links":{"self":[{"href":"https:\/\/mtxr.co\/zh\/wp-json\/wp\/v2\/product\/38160","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mtxr.co\/zh\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/mtxr.co\/zh\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mtxr.co\/zh\/wp-json\/wp\/v2\/media\/38256"}],"wp:attachment":[{"href":"https:\/\/mtxr.co\/zh\/wp-json\/wp\/v2\/media?parent=38160"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/mtxr.co\/zh\/wp-json\/wp\/v2\/product_brand?post=38160"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/mtxr.co\/zh\/wp-json\/wp\/v2\/product_cat?post=38160"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/mtxr.co\/zh\/wp-json\/wp\/v2\/product_tag?post=38160"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}