{"id":3573,"date":"2026-08-27T13:07:10","date_gmt":"2026-08-27T13:07:10","guid":{"rendered":"https:\/\/pckumar.in\/datacenters\/?post_type=product&#038;p=3573"},"modified":"2026-08-27T13:07:10","modified_gmt":"2026-08-27T13:07:10","slug":"supermicro-gb300-super-ai-station-ars-511gd-nb-lcc","status":"publish","type":"product","link":"https:\/\/pckumar.in\/datacenters\/product\/supermicro-gb300-super-ai-station-ars-511gd-nb-lcc\/","title":{"rendered":"Supermicro GB300 Super AI Station \u2013 ARS-511GD-NB-LCC"},"content":{"rendered":"<h1><strong>Supermicro GB300 Super AI Station \u2013 ARS-511GD-NB-LCC<\/strong><\/h1>\n<h2><strong>Features<\/strong><\/h2>\n<ul>\n<li data-section-id=\"1yojglz\" data-start=\"68\" data-end=\"154\">NVIDIA GB300 Platform \u2013 Powered by the Grace Blackwell Ultra Desktop Superchip.<\/li>\n<li data-section-id=\"1w6qap8\" data-start=\"155\" data-end=\"229\">72-Core Grace CPU \u2013 NVIDIA Grace CPU with 72 Arm Neoverse V2 cores.<\/li>\n<li data-section-id=\"1ui58k7\" data-start=\"230\" data-end=\"310\">Blackwell Ultra GPU \u2013 Integrated NVIDIA B300 GPU with 252GB HBM3e memory.<\/li>\n<li data-section-id=\"1p7kx2l\" data-start=\"311\" data-end=\"401\">20 PFLOPS AI Performance \u2013 Designed for high-performance AI training and inference.<\/li>\n<li data-section-id=\"5902vv\" data-start=\"402\" data-end=\"498\">748GB Coherent Memory \u2013 Combines 496GB LPDDR5X system memory with 252GB HBM3e GPU memory.<\/li>\n<li data-section-id=\"1pnizv9\" data-start=\"499\" data-end=\"581\">400GbE Networking \u2013 Dual QSFP 400GbE ports with NVIDIA ConnectX-8 SuperNIC.<\/li>\n<li data-section-id=\"1sd1f1g\" data-start=\"582\" data-end=\"674\">PCIe Gen 5 Expansion \u2013 Supports high-speed PCIe expansion for professional workloads.<\/li>\n<li data-section-id=\"2emds8\" data-start=\"675\" data-end=\"768\">Closed-Loop Liquid Cooling \u2013 Direct-to-chip liquid cooling for sustained AI workloads.<\/li>\n<li data-section-id=\"kwc601\" data-start=\"769\" data-end=\"896\">Tower or 5U Deployment \u2013 Can be used as a deskside tower or deployed in a 5U rack.<\/li>\n<\/ul>\n<h2><strong>Specifications<\/strong><\/h2>\n<table style=\"height: 622px;\" width=\"476\">\n<tbody>\n<tr style=\"height: 23px;\" data-start=\"956\" data-end=\"982\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"956\" data-end=\"968\" data-col-size=\"sm\">Brand<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"968\" data-end=\"982\" data-col-size=\"md\">Supermicro<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"983\" data-end=\"1015\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"983\" data-end=\"995\" data-col-size=\"sm\">Model<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"995\" data-end=\"1015\" data-col-size=\"md\">Super AI Station<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1016\" data-end=\"1054\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1016\" data-end=\"1034\" data-col-size=\"sm\">Model \/ SKU<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-col-size=\"md\" data-start=\"1034\" data-end=\"1054\">ARS-511GD-NB-LCC<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1055\" data-end=\"1097\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1055\" data-end=\"1073\" data-col-size=\"sm\">Form Factor<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"1073\" data-end=\"1097\" data-col-size=\"md\">Tower \/ 5U Rackmount<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1098\" data-end=\"1152\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1098\" data-end=\"1114\" data-col-size=\"sm\">Superchip<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"1114\" data-end=\"1152\" data-col-size=\"md\">NVIDIA GB300 Grace Blackwell Ultra<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1153\" data-end=\"1183\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1153\" data-end=\"1163\" data-col-size=\"sm\">CPU<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"1163\" data-end=\"1183\" data-col-size=\"md\">NVIDIA Grace CPU<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1184\" data-end=\"1226\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1184\" data-end=\"1207\" data-col-size=\"sm\">CPU Architecture<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"1207\" data-end=\"1226\" data-col-size=\"md\">ARM Neoverse V2<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1227\" data-end=\"1255\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1227\" data-end=\"1243\" data-col-size=\"sm\">CPU Cores<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-col-size=\"md\" data-start=\"1243\" data-end=\"1255\">72 Cores<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1256\" data-end=\"1299\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1256\" data-end=\"1266\" data-col-size=\"sm\">GPU<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"1266\" data-end=\"1299\" data-col-size=\"md\">NVIDIA Blackwell Ultra \/ B300<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1300\" data-end=\"1332\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1300\" data-end=\"1317\" data-col-size=\"sm\">GPU Memory<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"1317\" data-end=\"1332\" data-col-size=\"md\">252GB HBM3e<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1333\" data-end=\"1371\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1333\" data-end=\"1360\" data-col-size=\"sm\">GPU Memory Bandwidth<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"1360\" data-end=\"1371\" data-col-size=\"md\">7.1TB\/s<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1372\" data-end=\"1409\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1372\" data-end=\"1392\" data-col-size=\"sm\">System Memory<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"1392\" data-end=\"1409\" data-col-size=\"md\">496GB LPDDR5X<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1410\" data-end=\"1444\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1410\" data-end=\"1433\" data-col-size=\"sm\">Memory Bandwidth<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"1433\" data-end=\"1444\" data-col-size=\"md\">396GB\/s<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1445\" data-end=\"1482\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1445\" data-end=\"1473\" data-col-size=\"sm\">Total Coherent Memory<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-col-size=\"md\" data-start=\"1473\" data-end=\"1482\">748GB<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1483\" data-end=\"1527\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1483\" data-end=\"1504\" data-col-size=\"sm\">AI Performance<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"1504\" data-end=\"1527\" data-col-size=\"md\">Up to 20 PFLOPS FP4<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1528\" data-end=\"1570\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1528\" data-end=\"1542\" data-col-size=\"sm\">Storage<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-col-size=\"md\" data-start=\"1542\" data-end=\"1570\">4 \u00d7 M.2 PCIe 5.0 x4 NVMe<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1571\" data-end=\"1626\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1571\" data-end=\"1588\" data-col-size=\"sm\">PCIe Slots<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"1588\" data-end=\"1626\" data-col-size=\"md\">1 \u00d7 PCIe 5.0 x16 + 2 \u00d7 PCIe 5.0 x8<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1627\" data-end=\"1663\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1627\" data-end=\"1644\" data-col-size=\"sm\">Networking<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-col-size=\"md\" data-start=\"1644\" data-end=\"1663\">2 \u00d7 400GbE QSFP<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1664\" data-end=\"1700\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1664\" data-end=\"1679\" data-col-size=\"sm\">SuperNIC<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"1679\" data-end=\"1700\" data-col-size=\"md\">NVIDIA ConnectX-8<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1701\" data-end=\"1729\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1701\" data-end=\"1717\" data-col-size=\"sm\">10GbE LAN<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-col-size=\"md\" data-start=\"1717\" data-end=\"1729\">1 \u00d7 RJ45<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1730\" data-end=\"1761\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1730\" data-end=\"1744\" data-col-size=\"sm\">BMC LAN<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"1744\" data-end=\"1761\" data-col-size=\"md\">1 \u00d7 1GbE RJ45<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1762\" data-end=\"1821\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1762\" data-end=\"1776\" data-col-size=\"sm\">Cooling<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-col-size=\"md\" data-start=\"1776\" data-end=\"1821\">Direct-to-Chip Closed-Loop Liquid Cooling<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1822\" data-end=\"1865\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1822\" data-end=\"1841\" data-col-size=\"sm\">Power Supply<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"1841\" data-end=\"1865\" data-col-size=\"md\">1600W Titanium Level<\/td>\n<\/tr>\n<tr style=\"height: 47px;\" data-start=\"1866\" data-end=\"1937\">\n<td style=\"height: 47px; width: 169.687px;\" data-start=\"1866\" data-end=\"1889\" data-col-size=\"sm\">Operating System<\/td>\n<td style=\"height: 47px; width: 291.525px;\" data-start=\"1889\" data-end=\"1937\" data-col-size=\"md\">Ubuntu 24.04 LTS + NVIDIA AI Developer Tools<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1938\" data-end=\"1980\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1938\" data-end=\"1955\" data-col-size=\"sm\">Dimensions<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"1955\" data-end=\"1980\" data-col-size=\"md\">454.7 \u00d7 218.4 \u00d7 701mm<\/td>\n<\/tr>\n<tr style=\"height: 23px;\" data-start=\"1981\" data-end=\"2022\">\n<td style=\"height: 23px; width: 169.687px;\" data-start=\"1981\" data-end=\"1998\" data-col-size=\"sm\">Deployment<\/td>\n<td style=\"height: 23px; width: 291.525px;\" data-start=\"1998\" data-end=\"2022\" data-col-size=\"md\">Deskside \/ Rackmount<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>NVIDIA GB300 Grace Blackwell Ultra<br \/>\n72-Core NVIDIA Grace CPU<br \/>\nNVIDIA Blackwell Ultra B300 GPU<br \/>\n748GB Coherent Memory<br \/>\n252GB HBM3e GPU Memory<br \/>\n496GB LPDDR5X Memory<br \/>\nUp to 20 PFLOPS AI Performance<br \/>\n400GbE ConnectX-8 Networking<br \/>\nPCIe Gen5 Expansion<br \/>\n4 \u00d7 M.2 PCIe 5.0 NVMe<br \/>\n1600W Titanium PSU<\/p>\n","protected":false},"featured_media":3574,"comment_status":"open","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":""},"product_brand":[85],"product_cat":[20],"product_tag":[55],"class_list":["post-3573","product","type-product","status-publish","has-post-thumbnail","product_brand-supermicro","product_cat-uncategorized","product_tag-nvidia-gb300","first","instock","sale","shipping-taxable","purchasable","product-type-simple"],"_links":{"self":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/product\/3573","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/comments?post=3573"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/media\/3574"}],"wp:attachment":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/media?parent=3573"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/product_brand?post=3573"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/product_cat?post=3573"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/product_tag?post=3573"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}