{"id":1615,"date":"2025-08-28T10:38:02","date_gmt":"2025-08-28T09:38:02","guid":{"rendered":"https:\/\/shyuxinpc.com\/?post_type=product&#038;p=1615"},"modified":"2025-09-12T07:34:17","modified_gmt":"2025-09-12T06:34:17","slug":"leadtek-nvidia-rtx-a400-4gb-ddr6","status":"publish","type":"product","link":"https:\/\/shyuxinpc.com\/cn\/product\/leadtek-nvidia-rtx-a400-4gb-ddr6\/","title":{"rendered":"LEADTEK NVIDIA RTX A400 4GB DDR6"},"content":{"rendered":"<h3 class=\"title-large text-NV text-center\">NVIDIA RTX-Powered Workstations for Every Workflow<\/h3>\n<div class=\"intro-large-text text-center\">\n<p>The NVIDIA RTX\u2122 A400, built on the NVIDIA Ampere GPU architecture, brings the power of AI and ray-tracing acceleration into the hands of more professionals. Featuring 6 second-generation RT Cores, 24 third-generation Tensor Cores, 768 CUDA\u00a0cores, and 4GB of GDDR6 graphics memory, the RTX A400 ensures AI-powered workflows and stunning ray-traced visuals are delivered with unprecedented performance in a space-saving design. Plus, you can connect up to four native displays to expand your visual horizons. With its compact form factor, the RTX A400 fits effortlessly into any workstation, providing the necessary performance and capabilities for today\u2019s professional workflows without compromising on efficiency or workspace.\u00a0<sup>\u00ae<br \/>\n<\/sup><\/p>\n<h4 class=\"media-heading text-NV\">Higher Speed GDDR6 Memory<\/h4>\n<h4 class=\"media-heading text-NV\"><sup>Equipped with 4GB GDDR6 memory and faster memory clock, the RTX A400 provides an ideal memory footprint to address datasets and models in latency-sensitive professional applications and at volume.<br \/>\n<\/sup><\/h4>\n<h4 class=\"media-heading text-NV\">NVIDIA Ampere Architecture<\/h4>\n<h4 class=\"media-heading text-NV\"><sup>NVIDIA RTX A400 is an efficient, single slot professional solution for CAD, DCC, financial service industry (FSI) and visualization professionals in general looking to reach great performance in a compact form factor. Building upon the major SM enhancements from the Turing GPU, the NVIDIA Ampere architecture enhances ray tracing operations, tensor matrix operations, and concurrent executions of FP32 and INT32 operations.<br \/>\n<\/sup><\/h4>\n<\/div>","protected":false},"excerpt":{"rendered":"<table class=\"table table-bordered newtable\">\n<tbody>\n<tr class=\"odd-row\">\n<td class=\"first\">GPU Architecture<\/td>\n<td class=\"last\">NVIDIA Ampere Architecture<\/td>\n<\/tr>\n<tr>\n<td class=\"first\">CUDA Cores<\/td>\n<td class=\"last\">768<\/td>\n<\/tr>\n<tr class=\"odd-row\">\n<td class=\"first\">NVIDIA Tensor Cores<\/td>\n<td class=\"last\">24<\/td>\n<\/tr>\n<tr>\n<td class=\"first\">NVIDIA RT Cores<\/td>\n<td class=\"last\">6<\/td>\n<\/tr>\n<tr class=\"odd-row\">\n<td class=\"first\">Single-Precision Performance<sup>1<\/sup><\/td>\n<td class=\"last\">2.7 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td class=\"first\">RT Core Performance<sup>1<\/sup><\/td>\n<td class=\"last\">5.3 TFLOPS<\/td>\n<\/tr>\n<tr class=\"odd-row\">\n<td class=\"first\">Tensor Performance<sup>1<\/sup><\/td>\n<td class=\"last\">21.7 TFLOPS<sup>2<\/sup><\/td>\n<\/tr>\n<tr>\n<td class=\"first\">GPU Memory<\/td>\n<td class=\"last\">4 GB GDDR6<\/td>\n<\/tr>\n<tr class=\"odd-row\">\n<td class=\"first\">Memory Interface<\/td>\n<td class=\"last\">64-bit<\/td>\n<\/tr>\n<tr>\n<td class=\"first\">Memory Bandwidth<\/td>\n<td class=\"last\">96 GB\/s<\/td>\n<\/tr>\n<tr class=\"odd-row\">\n<td class=\"first\">Max Power Consumption<\/td>\n<td class=\"last\">50W<\/td>\n<\/tr>\n<tr>\n<td class=\"first\">Graphics Bus<\/td>\n<td class=\"last\">PCI Express 4.0 x8<sup>3<\/sup><\/td>\n<\/tr>\n<tr class=\"odd-row\">\n<td class=\"first\">Display Connectors<\/td>\n<td class=\"last\">mDP 1.4a (4)<\/td>\n<\/tr>\n<tr>\n<td class=\"first\">Form Factor<\/td>\n<td class=\"last\">2.7\u201d H x 6.4\u201d L Single Slot<\/td>\n<\/tr>\n<tr class=\"odd-row\">\n<td class=\"first\">Product Weight<\/td>\n<td class=\"last\">140 g (Low Profile Bracket)<br \/>\n146 g (ATX Bracket)<\/td>\n<\/tr>\n<tr>\n<td class=\"first\">Thermal Solution<\/td>\n<td class=\"last\">Active Fan<\/td>\n<\/tr>\n<tr class=\"odd-row\">\n<td class=\"first\">NVENC | NVDEC<\/td>\n<td class=\"last\">1x | 1x (+AV1 decode)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>","protected":false},"featured_media":1616,"comment_status":"open","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"product_brand":[],"product_cat":[49],"product_tag":[],"class_list":{"0":"post-1615","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-gpu","8":"first","9":"instock","10":"sale","11":"taxable","12":"shipping-taxable","13":"purchasable","14":"product-type-simple"},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/shyuxinpc.com\/cn\/wp-json\/wp\/v2\/product\/1615","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/shyuxinpc.com\/cn\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/shyuxinpc.com\/cn\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/shyuxinpc.com\/cn\/wp-json\/wp\/v2\/comments?post=1615"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/shyuxinpc.com\/cn\/wp-json\/wp\/v2\/media\/1616"}],"wp:attachment":[{"href":"https:\/\/shyuxinpc.com\/cn\/wp-json\/wp\/v2\/media?parent=1615"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/shyuxinpc.com\/cn\/wp-json\/wp\/v2\/product_brand?post=1615"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/shyuxinpc.com\/cn\/wp-json\/wp\/v2\/product_cat?post=1615"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/shyuxinpc.com\/cn\/wp-json\/wp\/v2\/product_tag?post=1615"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}