{"id":18223,"date":"2025-10-23T08:36:09","date_gmt":"2025-10-23T08:36:09","guid":{"rendered":"https:\/\/www.fibermall.com\/blog\/?p=18223"},"modified":"2025-10-23T08:40:04","modified_gmt":"2025-10-23T08:40:04","slug":"metas-gb300-liquid-cooled-ai-server-clemente-1u-4xgpu-revolutionizing-ai-infrastructure","status":"publish","type":"post","link":"https:\/\/www.fibermall.com\/blog\/gb300-liquid-cooled-ai-server.htm","title":{"rendered":"Meta&#8217;s GB300 Liquid-Cooled AI Server: Clemente (1U 4xGPU) \u2013 Revolutionizing AI Infrastructure"},"content":{"rendered":"\n<p>In the fast-evolving world of AI data centers, liquid-cooled servers are the backbone of high-performance computing. If you&#8217;re exploring cutting-edge solutions for cloud computing, enterprise networks, or AI-enabled environments, Meta&#8217;s GB300 liquid-cooled AI server \u2013 codenamed Clemente \u2013 stands out. This 1U powerhouse packs 4x GPUs into a compact form factor, pushing the boundaries of density, efficiency, and scalability. In this blog post, we&#8217;ll dive into its architecture, cooling innovations, power management, and how it fits into broader AI rack trends. Whether you&#8217;re an IT architect or a data center enthusiast, understanding the GB300 Clemente can help optimize your next-gen setups.<\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_76 ez-toc-wrap-left counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" 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: #999;color:#999\" 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><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.fibermall.com\/blog\/gb300-liquid-cooled-ai-server.htm\/#The_Evolution_of_AI_Super_Nodes_From_Aggregated_to_Disaggregated_Racks\" >The Evolution of AI Super Nodes: From Aggregated to Disaggregated Racks?<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.fibermall.com\/blog\/gb300-liquid-cooled-ai-server.htm\/#Key_Trends_in_Large-Scale_AI_Compute_Domains\" >Key Trends in Large-Scale AI Compute Domains<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.fibermall.com\/blog\/gb300-liquid-cooled-ai-server.htm\/#GB300_NVL72_Density_Packing_1U_with_2x_CPUs_4x_GPUs\" >GB300 NVL72 Density: Packing 1U with 2x CPUs + 4x GPUs<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.fibermall.com\/blog\/gb300-liquid-cooled-ai-server.htm\/#Front_View_and_Connectivity_Breakdown\" >Front View and Connectivity Breakdown<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.fibermall.com\/blog\/gb300-liquid-cooled-ai-server.htm\/#Block_Diagram_Inside_the_GB300_Clemente_Architecture\" >Block Diagram: Inside the GB300 Clemente Architecture<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.fibermall.com\/blog\/gb300-liquid-cooled-ai-server.htm\/#Compatibility_19-Inch_Chassis_in_21-Inch_Open_Racks\" >Compatibility: 19-Inch Chassis in 21-Inch Open Racks<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.fibermall.com\/blog\/gb300-liquid-cooled-ai-server.htm\/#Liquid_Cooling_Essentials_Channel_Island_Design\" >Liquid Cooling Essentials: Channel Island Design<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.fibermall.com\/blog\/gb300-liquid-cooled-ai-server.htm\/#Power_Delivery_From_50V_Input_to_200kW_Racks\" >Power Delivery: From 50V Input to 200kW Racks<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.fibermall.com\/blog\/gb300-liquid-cooled-ai-server.htm\/#Wrapping_Up_Why_GB300_Clemente_Matters_for_AI_Data_Centers\" >Wrapping Up: Why GB300 Clemente Matters for AI Data Centers<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.fibermall.com\/blog\/gb300-liquid-cooled-ai-server.htm\/#Related_Posts\" >Related Posts<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"The_Evolution_of_AI_Super_Nodes_From_Aggregated_to_Disaggregated_Racks\"><\/span><strong>The Evolution of AI Super Nodes: From Aggregated to Disaggregated Racks?<\/strong><strong><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"400\" src=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/The-Evolution-of-AI-Super-Nodes.png\" alt=\"The Evolution of AI Super Nodes\" class=\"wp-image-18225\" style=\"width:800px\" srcset=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/The-Evolution-of-AI-Super-Nodes.png 800w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/The-Evolution-of-AI-Super-Nodes-300x150.png 300w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/The-Evolution-of-AI-Super-Nodes-768x384.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/figure>\n\n\n\n<p>Before we geek out on the GB300 specifics, let&#8217;s zoom out to the bigger picture of AI infrastructure scaling. At the 2025 OCP Global Summit, Meta&#8217;s presentation on &#8220;Scaling the AI Infrastructure to Data Center Regions&#8221; highlighted a shift in AI rack designs. From left to right in their visuals: existing cabinets leveraging AMD&#8217;s MI300X, Meta&#8217;s in-house MTIA accelerators, and now the NVIDIA-powered GB300.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img decoding=\"async\" width=\"800\" height=\"420\" src=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/NVIDIA-powered-GB300.png\" alt=\"NVIDIA-powered GB300\" class=\"wp-image-18226\" style=\"width:800px\" srcset=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/NVIDIA-powered-GB300.png 800w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/NVIDIA-powered-GB300-300x158.png 300w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/NVIDIA-powered-GB300-768x403.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/figure>\n\n\n\n<p>Large-scale Scale-Up compute domains require bigger racks.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Aspect<\/strong><strong><\/strong><\/td><td><strong>ORv3 HPR<\/strong><strong><\/strong><\/td><td><strong>ORW (Open Rack Wide)<\/strong><strong><\/strong><\/td><td><strong>Future Models<\/strong><strong><\/strong><\/td><\/tr><tr><td><strong>Status\/Time Node<\/strong><\/td><td>Deployed (Current)<\/td><td>Q3 2026<\/td><td>Q3 2027<\/td><\/tr><tr><td><strong>Supported Accelerator Count<\/strong><\/td><td>\u2264 72<\/td><td>\u2264 144<\/td><td>\u2265 256<\/td><\/tr><tr><td><strong>Interconnect Type<\/strong><\/td><td>Cabled Backplane<\/td><td>Cabled Backplane<\/td><td>(Not specified, expected to be more advanced)<\/td><\/tr><tr><td><strong>Power Supply Scheme<\/strong><\/td><td>48 VDC \/ \u00b1400 VDC<\/td><td>48 VDC \/ \u00b1400 VDC<\/td><td>\u00b1400 VDC<\/td><\/tr><tr><td><strong>Cooling Method<\/strong><\/td><td>Air Cooling \/ Liquid Cooling<\/td><td>Air Cooling \/ Liquid Cooling<\/td><td>Primarily Liquid Cooling<\/td><\/tr><tr><td><strong>Rack Specifications<\/strong><\/td><td>IT\/Power Cabinet Single Width<\/td><td>IT Cabinet Double Width<\/td><td>IT Cabinet Size TBD<\/td><\/tr><tr><td><strong>Power Capacity<\/strong><\/td><td>(Not specified)<\/td><td>(Not specified)<\/td><td>&gt; 900 kW<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Key_Trends_in_Large-Scale_AI_Compute_Domains\"><\/span><strong>Key Trends in Large-Scale AI Compute Domains<\/strong><strong><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Bigger Racks for Bigger Compute<\/strong>: As AI workloads demand more xPUs (accelerators), racks are evolving. Meta&#8217;s roadmap shows scaling from current setups to 256+ xPUs by Q3 2027, with power draws exceeding 900kW. This is where Open Rack Wide (ORW) standards come in \u2013 a collaboration between Meta and AMD, set for Q3 2026 deployment. It supports future Instinct MI450 GPUs and emphasizes openness in AI infrastructure.<\/li>\n\n\n\n<li><strong>The Rise of Disaggregation<\/strong>: Traditional &#8220;aggregated&#8221; designs use backplanes (think green and orange lines in diagrams) to tightly integrate components within one or two racks. But as xPU counts grow, interconnection complexity skyrockets. Enter disaggregation: Resources spread across lower-density racks, connected via optical interconnects for low-latency, high-bandwidth communication.<\/li>\n<\/ul>\n\n\n\n<p>Why does this matter for AI servers like the GB300? Disaggregation enhances elasticity for massive AI training, bypasses single-rack power and cooling limits, and leverages optics to overcome electrical bottlenecks. It&#8217;s a game-changer for hyperscale data centers chasing efficiency in AI and HPC workloads.<\/p>\n\n\n\n<p>For more on open rack standards, check out our recent insights on AMD&#8217;s &#8220;Helios&#8221; and Meta&#8217;s 2025 OCP Dual-Wide Open Rack.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img decoding=\"async\" width=\"800\" height=\"457\" src=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/the-future-is-disaggregation.png\" alt=\"the future is disaggregation\" class=\"wp-image-18227\" style=\"width:800px\" srcset=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/the-future-is-disaggregation.png 800w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/the-future-is-disaggregation-300x171.png 300w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/the-future-is-disaggregation-768x439.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"GB300_NVL72_Density_Packing_1U_with_2x_CPUs_4x_GPUs\"><\/span><strong>GB300 NVL72 Density: Packing 1U with 2x CPUs + 4x GPUs<\/strong><strong><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"926\" height=\"539\" src=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/overall-view-of-the-clemente-compute-tray.png\" alt=\"overall view of the clemente compute tray\" class=\"wp-image-18228\" style=\"width:800px\" srcset=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/overall-view-of-the-clemente-compute-tray.png 926w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/overall-view-of-the-clemente-compute-tray-300x175.png 300w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/overall-view-of-the-clemente-compute-tray-768x447.png 768w\" sizes=\"(max-width: 926px) 100vw, 926px\" \/><\/figure>\n\n\n\n<p>At the heart of the GB300 ecosystem is the NVL72 configuration, and Meta&#8217;s Clemente Compute Tray delivers impressive density. This 1OU tray houses <strong>two NVIDIA GB300 HPM modules<\/strong>, each featuring one Grace ARM CPU paired with two B300 GPUs. That&#8217;s 4x GPUs total in a single 1U slot \u2013 a doubling of density compared to the earlier GB200 Catalina (which managed 2x GPUs per 1U).<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"975\" height=\"352\" src=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Front-view-of-the-Clemente-Compute-Tray.png\" alt=\"Front view of the Clemente Compute Tray\" class=\"wp-image-18229\" style=\"width:800px\" srcset=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Front-view-of-the-Clemente-Compute-Tray.png 975w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Front-view-of-the-Clemente-Compute-Tray-300x108.png 300w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Front-view-of-the-Clemente-Compute-Tray-768x277.png 768w\" sizes=\"(max-width: 975px) 100vw, 975px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Front_View_and_Connectivity_Breakdown\"><\/span><strong>Front View and Connectivity Breakdown<\/strong><strong><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>The Clemente&#8217;s front panel is a connectivity hub:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Scale-Out Networking<\/strong>: 4x 800G OSFP ports for high-speed AI fabric.<\/li>\n\n\n\n<li><strong>Management<\/strong>: DC-SCM module below.<\/li>\n\n\n\n<li><strong>Additional I\/O<\/strong>: 2x 400G ports on the left; 4x E1.S NVMe SSD bays on the right for fast storage.<\/li>\n<\/ul>\n\n\n\n<p>Power density? The tray&#8217;s TDP hits around 4,200W, with peaks up to 7,740W \u2013 demanding robust cooling, which we&#8217;ll cover next.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Block_Diagram_Inside_the_GB300_Clemente_Architecture\"><\/span><strong>Block Diagram: Inside the GB300 Clemente Architecture<\/strong><strong><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The real magic unfolds in the block diagram. For context, here&#8217;s a quick comparison to the GB200 Catalina (updated for CX8 NIC support):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>CPU-GPU Interconnects<\/strong>: Each Grace CPU links to its two B300 GPUs via NVLink C2C. The two Graces connect via Clink x12, while B300s use NVLink 5 for intra-GPU chatter.<\/li>\n\n\n\n<li><strong>Networking Prowess<\/strong>: The CX8 NIC delivers one 800G port and integrates a PCIe switch for CPU (Gen5 x16), GPU (Gen6 x16), and SSD connectivity. It also ties in as a PCIe x1 endpoint for management. Each Grace gets a dedicated CX7 <a href=\"https:\/\/www.fibermall.com\/store-21984-400gb-nic.htm\" target=\"_blank\" rel=\"noreferrer noopener\">400G NIC<\/a> (Gen5 x16), with the primary Grace0 linking to the BMC via PCIe Gen5 x4.<\/li>\n<\/ul>\n\n\n\n<p>This setup ensures seamless data flow in AI super nodes, minimizing bottlenecks in training massive models.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Compatibility_19-Inch_Chassis_in_21-Inch_Open_Racks\"><\/span><strong>Compatibility: 19-Inch Chassis in 21-Inch Open Racks<\/strong><strong><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Clemente stays true to OCP roots: It&#8217;s a 1RU tray fitting standard 19-inch racks, with adapters for 21-inch Open Rack V3 HPR frames. Dimensions and weight are optimized for easy deployment \u2013 check the specs diagram for exacts (typically under 30kg unloaded).<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"583\" src=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Canister-Assembly-to-adapt-19-RU-into-21-OU.png\" alt=\"Canister Assembly to adapt 19\u201d RU into 21\u201d OU\" class=\"wp-image-18230\" style=\"width:800px\" srcset=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Canister-Assembly-to-adapt-19-RU-into-21-OU.png 900w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Canister-Assembly-to-adapt-19-RU-into-21-OU-300x194.png 300w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Canister-Assembly-to-adapt-19-RU-into-21-OU-768x497.png 768w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/><\/figure>\n\n\n\n<p>A split cooling approach shines here: Air cooling for low-heat components (left side in diagrams), liquid cooling via cold plates for the hot stuff (right side).<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"974\" height=\"602\" src=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Air-cooling-for-low-heat-components.png\" alt=\"Air cooling for low-heat components\" class=\"wp-image-18231\" style=\"width:800px\" srcset=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Air-cooling-for-low-heat-components.png 974w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Air-cooling-for-low-heat-components-300x185.png 300w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Air-cooling-for-low-heat-components-768x475.png 768w\" sizes=\"(max-width: 974px) 100vw, 974px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Liquid_Cooling_Essentials_Channel_Island_Design\"><\/span><strong>Liquid Cooling Essentials: Channel Island Design<\/strong><strong><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Meta&#8217;s Channel Island <a href=\"https:\/\/www.fibermall.com\/store-22018-800g-osfp-liquid-cooling.htm\" target=\"_blank\" rel=\"noreferrer noopener\">liquid cooling<\/a> is engineered for full TDP under load. Key specs for GB300 Clemente:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Coolant<\/strong>: 25% propylene glycol (PG25) blend, like Dow&#8217;s Frost LC-25.<\/li>\n\n\n\n<li><strong>Supply Temp<\/strong>: 40\u00b0C standard (up to 42\u00b0C max deviation).<\/li>\n\n\n\n<li><strong>Flow &amp; Pressure<\/strong>: Up to 140 LPM at 15 psi delta.<\/li>\n\n\n\n<li><strong>Delta T<\/strong>: 10-12\u00b0C at full load, equating to 1.25-1.5 LPM\/kW.<\/li>\n<\/ul>\n\n\n\n<p>This keeps B300 GPUs (each ~1,100W TDP) and Graces chill, enabling sustained AI performance without thermal throttling.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"861\" src=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Air-Cooling-Specification-1024x861.png\" alt=\"Air Cooling Specification\" class=\"wp-image-18232\" style=\"width:800px\" srcset=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Air-Cooling-Specification-1024x861.png 1024w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Air-Cooling-Specification-300x252.png 300w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Air-Cooling-Specification-768x646.png 768w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Air-Cooling-Specification.png 1080w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>For air-cooled peripherals, norms include standard fan curves \u2013 but liquid rules the roost for density.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Power_Delivery_From_50V_Input_to_200kW_Racks\"><\/span><strong>Power Delivery: From 50V Input to 200kW Racks<\/strong><strong><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Power-wise, Clemente steps up from GB200&#8217;s 48V to 50V input, down-converting to 12V for VRMs on CPUs and GPUs. In an NVL72 rack (18x Clemente trays), expect ~200kW total, factoring in switches, caps, and losses. (Pro tip: Read up on GB300 NVL72&#8217;s new features for stable AI power.)<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"591\" src=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/NVL72s-new-features-for-stable-AI-power-1024x591.png\" alt=\"NVL72's new features for stable AI power\" class=\"wp-image-18233\" style=\"width:800px\" srcset=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/NVL72s-new-features-for-stable-AI-power-1024x591.png 1024w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/NVL72s-new-features-for-stable-AI-power-300x173.png 300w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/NVL72s-new-features-for-stable-AI-power-768x443.png 768w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/NVL72s-new-features-for-stable-AI-power.png 1080w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Notes on scale:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Liquid-cooled cabinets often hit 40-200kW+ (per data center experts).<\/li>\n\n\n\n<li>Future dual-wide racks (e.g., Alibab&#8217;s Panjiu) aim for 650kW+.<\/li>\n<\/ul>\n\n\n\n<p>The DC-SCM module? A straightforward BMC setup with AST2600 chip and CPLD for monitoring.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Wrapping_Up_Why_GB300_Clemente_Matters_for_AI_Data_Centers\"><\/span><strong>Wrapping Up: Why GB300 Clemente Matters for AI Data Centers<\/strong><strong><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Meta&#8217;s GB300 liquid-cooled AI server via Clemente isn&#8217;t just denser \u2013 it&#8217;s a blueprint for disaggregated, optically linked AI futures. With 1U 4xGPU muscle, efficient cooling, and OCP compatibility, it&#8217;s primed for 2026+ hyperscalers. As AI racks push 900kW+ boundaries, designs like this ensure scalability without compromise.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"846\" height=\"532\" src=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Block-Diagram-of-the-DC-SCM.png\" alt=\"Block Diagram of the DC-SCM\" class=\"wp-image-18234\" style=\"width:800px\" srcset=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Block-Diagram-of-the-DC-SCM.png 846w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Block-Diagram-of-the-DC-SCM-300x189.png 300w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2025\/10\/Block-Diagram-of-the-DC-SCM-768x483.png 768w\" sizes=\"(max-width: 846px) 100vw, 846px\" \/><\/figure>\n\n\n\n<p>At FiberMall, we&#8217;re all about empowering these ecosystems with cost-effective optical-communication products and solutions. As a leader in AI-enabled networks, we deliver high-quality transceivers, cables, and modules tailored for data centers, cloud, and enterprise setups. Whether integrating NVLink fabrics or optical interconnects for disaggregated racks, FiberMall has you covered. Visit our official website&nbsp;or contact our support team for tailored advice.<\/p>\n\n\n\n<p><\/p>\n<style>\r\n\r\n        .lwrp.link-whisper-related-posts{\r\n            \r\n            margin-top: 40px;\nmargin-bottom: 30px;\r\n        }\r\n        .lwrp .lwrp-title{\r\n            \r\n            \r\n        }\r\n        .lwrp .lwrp-description{\r\n            \r\n            \r\n\r\n        }\r\n        .lwrp .lwrp-list-container{\r\n        }\r\n        .lwrp .lwrp-list-multi-container{\r\n            display: flex;\r\n        }\r\n        .lwrp .lwrp-list-double{\r\n            width: 48%;\r\n        }\r\n        .lwrp .lwrp-list-triple{\r\n            width: 32%;\r\n        }\r\n        .lwrp .lwrp-list-row-container{\r\n            display: flex;\r\n            justify-content: space-between;\r\n        }\r\n        .lwrp .lwrp-list-row-container .lwrp-list-item{\r\n            width: calc(100% - 20px);\r\n        }\r\n        .lwrp .lwrp-list-item:not(.lwrp-no-posts-message-item){\r\n            \r\n            list-style: decimal;\r\n        }\r\n        .lwrp .lwrp-list-item img{\r\n            max-width: 100%;\r\n            height: auto;\r\n        }\r\n        .lwrp .lwrp-list-item.lwrp-empty-list-item{\r\n            background: initial !important;\r\n        }\r\n        .lwrp .lwrp-list-item .lwrp-list-link .lwrp-list-link-title-text,\r\n        .lwrp .lwrp-list-item .lwrp-list-no-posts-message{\r\n            \r\n                \r\n        }\r\n        @media screen and (max-width: 480px) {\r\n            .lwrp.link-whisper-related-posts{\r\n                \r\n                \r\n            }\r\n            .lwrp .lwrp-title{\r\n                \r\n                \r\n            }\r\n            .lwrp .lwrp-description{\r\n                \r\n                \r\n            }\r\n            .lwrp .lwrp-list-multi-container{\r\n                flex-direction: column;\r\n            }\r\n            .lwrp .lwrp-list-multi-container ul.lwrp-list{\r\n                margin-top: 0px;\r\n                margin-bottom: 0px;\r\n                padding-top: 0px;\r\n                padding-bottom: 0px;\r\n            }\r\n            .lwrp .lwrp-list-double,\r\n            .lwrp .lwrp-list-triple{\r\n                width: 100%;\r\n            }\r\n            .lwrp .lwrp-list-row-container{\r\n                justify-content: initial;\r\n                flex-direction: column;\r\n            }\r\n            .lwrp .lwrp-list-row-container .lwrp-list-item{\r\n                width: 100%;\r\n            }\r\n            .lwrp .lwrp-list-item:not(.lwrp-no-posts-message-item){\r\n                \r\n                \r\n            }\r\n            .lwrp .lwrp-list-item .lwrp-list-link .lwrp-list-link-title-text,\r\n            .lwrp .lwrp-list-item .lwrp-list-no-posts-message{\r\n                \r\n                    \r\n            }\r\n        }<\/style>\r\n<div id=\"link-whisper-related-posts-widget\" class=\"link-whisper-related-posts lwrp\">\r\n            <h3 class=\"lwrp-title\">Related Posts<\/h3>    \r\n        <div class=\"lwrp-list-container\">\r\n                                            <ul class=\"lwrp-list lwrp-list-single\">\r\n                    <li class=\"lwrp-list-item\"><a href=\"https:\/\/www.fibermall.com\/blog\/sfp28-switch.htm\" class=\"lwrp-list-link\"><span class=\"lwrp-list-link-title-text\">Everything You Need to Know About SFP28 Switches: 25G SFP28 Managed Switch for Pro AV and Cisco Networks<\/span><\/a><\/li><li class=\"lwrp-list-item\"><a href=\"https:\/\/www.fibermall.com\/blog\/16-port-ethernet-switch.htm\" class=\"lwrp-list-link\"><span class=\"lwrp-list-link-title-text\">Unlock Network Potential: 16-Port Gigabit Ethernet Switch Guide.<\/span><\/a><\/li><li class=\"lwrp-list-item\"><a href=\"https:\/\/www.fibermall.com\/blog\/sgmii-sfp.htm\" class=\"lwrp-list-link\"><span class=\"lwrp-list-link-title-text\">The Ultimate Guide to SGMII SFP Transceivers: Everything You Need to Know About Optical Transceivers and Ethernet Ports<\/span><\/a><\/li><li class=\"lwrp-list-item\"><a href=\"https:\/\/www.fibermall.com\/blog\/gpu-cloud-server.htm\" class=\"lwrp-list-link\"><span class=\"lwrp-list-link-title-text\">What is a GPU Cloud Server?<\/span><\/a><\/li><li class=\"lwrp-list-item\"><a href=\"https:\/\/www.fibermall.com\/blog\/ddc-technology-for-networking.htm\" class=\"lwrp-list-link\"><span class=\"lwrp-list-link-title-text\">The New Generation of AIGC Network Solution: DDC Technology for Networking<\/span><\/a><\/li>                <\/ul>\r\n                        <\/div>\r\n<\/div>","protected":false},"excerpt":{"rendered":"<p>In the fast-evolving world of AI data centers, liquid-cooled servers are the backbone of high-performance computing. If you&#8217;re exploring cutting-edge solutions for cloud computing, enterprise networks, or AI-enabled environments, Meta&#8217;s GB300 liquid-cooled AI server \u2013 codenamed Clemente \u2013 stands out. This 1U powerhouse packs 4x GPUs into a compact form factor, pushing the boundaries of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":18241,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"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":"","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":"","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-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":"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":""},"mobile":{"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":""}},"footnotes":"","_wpscppro_dont_share_socialmedia":false,"_wpscppro_custom_social_share_image":0,"_facebook_share_type":"default","_twitter_share_type":"default","_linkedin_share_type":"default","_pinterest_share_type":"default","_linkedin_share_type_page":"default","_instagram_share_type":"default","_medium_share_type":"default","_threads_share_type":"default","_google_business_share_type":"default","_selected_social_profile":[{"id":"skM9ewvR8O","platform":"linkedin","platformKey":0,"name":"Jason Xue","type":"person","thumbnail_url":"https:\/\/media.licdn.com\/dms\/image\/C5603AQErPqKD0j6qBg\/profile-displayphoto-shrink_100_100\/0\/1599138392315?e=1723075200&v=beta&t=joEkh1OeKQ0F-QpAPv4xxQyBdGlHyccIQZauRSs6RvU","share_type":"default"}],"_wpsp_enable_custom_social_template":false,"_wpsp_social_scheduling":{"enabled":false,"datetime":null,"platforms":[],"status":"template_only","dateOption":"today","timeOption":"now","customDays":"","customHours":"","customDate":"","customTime":"","schedulingType":"absolute"},"_wpsp_active_default_template":true},"categories":[2,29],"tags":[],"class_list":["post-18223","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-networking"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.13 (Yoast SEO v25.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Meta&#039;s GB300 Liquid-Cooled AI Server: Clemente (1U 4xGPU) \u2013 Revolutionizing AI Infrastructure - fibermall.com<\/title>\n<meta name=\"description\" content=\"In the fast-evolving world of AI data centers, liquid-cooled servers are the backbone of high-performance computing.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.fibermall.com\/blog\/gb300-liquid-cooled-ai-server.htm\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Meta&#039;s GB300 Liquid-Cooled AI Server: Clemente (1U 4xGPU) \u2013 Revolutionizing AI Infrastructure\" \/>\n<meta property=\"og:description\" content=\"In the fast-evolving world of AI data centers, liquid-cooled servers are the backbone of high-performance computing. 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