{"id":18618,"date":"2026-02-06T08:35:46","date_gmt":"2026-02-06T08:35:46","guid":{"rendered":"https:\/\/www.fibermall.com\/blog\/?p=18618"},"modified":"2026-02-06T08:45:07","modified_gmt":"2026-02-06T08:45:07","slug":"analysis-of-core-port-ratios-in-intelligent-computing-center-network-design","status":"publish","type":"post","link":"https:\/\/www.fibermall.com\/blog\/core-port-ratios-in-intelligent-computing-center.htm","title":{"rendered":"Analysis of Core Port Ratios in Intelligent Computing Center Network Design"},"content":{"rendered":"\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img fetchpriority=\"high\" decoding=\"async\" width=\"700\" height=\"394\" src=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2026\/02\/gpu-cluster.jpeg\" alt=\"gpu cluster\" class=\"wp-image-18625\" style=\"width:800px\" srcset=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2026\/02\/gpu-cluster.jpeg 700w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2026\/02\/gpu-cluster-300x169.jpeg 300w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/figure>\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\/core-port-ratios-in-intelligent-computing-center.htm\/#Two_Key_Design_Principles_for_GPU_Cluster_Networks\" >Two Key Design Principles for GPU Cluster Networks<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.fibermall.com\/blog\/core-port-ratios-in-intelligent-computing-center.htm\/#The_Definition_of_Core_Ports\" >The Definition of Core Ports<\/a><\/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\/core-port-ratios-in-intelligent-computing-center.htm\/#Consistent_Access-to-Core_Port_Ratios\" >Consistent Access-to-Core Port Ratios<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.fibermall.com\/blog\/core-port-ratios-in-intelligent-computing-center.htm\/#Case_Study_Core_Port_Ratios\" >Case Study: Core Port Ratios<\/a><\/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\/core-port-ratios-in-intelligent-computing-center.htm\/#Importance_to_GPU_Clusters\" >Importance to GPU Clusters<\/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\/core-port-ratios-in-intelligent-computing-center.htm\/#Summary\" >Summary<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Two_Key_Design_Principles_for_GPU_Cluster_Networks\"><\/span><strong>Two Key Design Principles for GPU Cluster Networks <\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>1:1 Bandwidth Convergence Ratio<\/strong>: This is the foundation of a lossless network. It means the total bandwidth from the server access layer to the network core layer is never reduced at any point. For instance, if the total uplink bandwidth of all access switches is 100Tbps, the aggregation and core layers must provide at least 100Tbps of switching capacity to carry this traffic, preventing congestion points caused by merging multiple low-speed ports into a single high-speed port.<\/li>\n\n\n\n<li><strong>Consistency in Access-to-Core Port Ratios<\/strong>: This is one of the specific methods used to achieve 1:1 convergence. It is crucial to understand the specific definition of &#8220;Core Ports&#8221; in this context.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"The_Definition_of_Core_Ports\"><\/span><strong>The Definition of Core Ports <\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img decoding=\"async\" width=\"1024\" height=\"505\" src=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2026\/02\/Spine-Leaf\uff08CLOS\uff09-1024x505.png\" alt=\"Spine-Leaf\uff08CLOS\uff09\" class=\"wp-image-18626\" style=\"width:800px\" srcset=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2026\/02\/Spine-Leaf\uff08CLOS\uff09-1024x505.png 1024w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2026\/02\/Spine-Leaf\uff08CLOS\uff09-300x148.png 300w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2026\/02\/Spine-Leaf\uff08CLOS\uff09-768x379.png 768w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2026\/02\/Spine-Leaf\uff08CLOS\uff09.png 1084w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>In a typical Spine-Leaf (CLOS) network architecture for intelligent computing centers:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Access Layer (Leaf Layer)<\/strong>: Switches directly connected to GPU servers via high-speed Network Interface Cards (NICs).<\/li>\n\n\n\n<li><strong>Core Layer (Spine Layer)<\/strong>: Switches acting as the traffic hub, responsible for interconnecting all Leaf switches.<\/li>\n\n\n\n<li><strong>&#8220;Core Ports&#8221;<\/strong>: Generally refers to the uplink ports&nbsp;on the Leaf switches used to connect to the Spine switches.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Consistent_Access-to-Core_Port_Ratios\"><\/span><strong>Consistent Access-to-Core Port Ratios <\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The number and bandwidth of &#8220;downlink ports&#8221; (used to connect servers) on a Leaf switch should maintain a fixed and sufficient ratio\u2014typically&nbsp;1:1 or a high-standard configuration\u2014relative to the &#8220;uplink ports&#8221; (core ports) used to connect to Spine switches.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Case_Study_Core_Port_Ratios\"><\/span><strong>Case Study: Core Port Ratios <\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img decoding=\"async\" width=\"759\" height=\"496\" src=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2026\/02\/NVIDIA-Spectrum-X-SN5610.jpg\" alt=\"NVIDIA Spectrum-X SN5610\" class=\"wp-image-18627\" style=\"width:800px\" srcset=\"https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2026\/02\/NVIDIA-Spectrum-X-SN5610.jpg 759w, https:\/\/www.fibermall.com\/blog\/wp-content\/uploads\/2026\/02\/NVIDIA-Spectrum-X-SN5610-300x196.jpg 300w\" sizes=\"(max-width: 759px) 100vw, 759px\" \/><\/figure>\n\n\n\n<p><strong>Scenario<\/strong>: Assume a Leaf switch has 64 downlink ports, each with a rate of 400Gbps, used to connect 64 GPU servers.<\/p>\n\n\n\n<p><strong>Requirement<\/strong>: To achieve 1:1 non-convergence, the Leaf switch needs sufficient uplink bandwidth&nbsp;to reach the Spine layer.<\/p>\n\n\n\n<p><strong>Ideal Setup<\/strong>: If each uplink (core) port is also <a href=\"https:\/\/www.fibermall.com\/store-21995-400g-ndr-infiniband.htm\" target=\"_blank\" rel=\"noreferrer noopener\">400Gbps<\/a>, the switch would need at least 64 uplink ports\u00a0to ensure non-blocking traffic for all 64 downlink ports simultaneously.<\/p>\n\n\n\n<p><strong>Common Practice<\/strong>: Due to limitations in switching capacity and port density, common configurations often use a higher ratio. For example:<\/p>\n\n\n\n<p><strong>Configuration<\/strong>: 48 x 400G downlink ports + 32 x 400G uplink ports.<\/p>\n\n\n\n<p><strong>Result<\/strong>: Total Downlink = 19.2Tbps; Total Uplink = 12.8Tbps. This results in a convergence ratio of approximately 1.5:1, which is not strictly 1:1.<\/p>\n\n\n\n<p><strong>High-Requirement Design<\/strong>: To get closer to 1:1, designers may use higher-capacity switches or a &#8220;Dual-Plane&#8221; design, doubling the number of Spine switches to provide more uplink paths.<\/p>\n\n\n\n<p><strong>Deep Meaning<\/strong>: In design, one must strictly calculate and reserve Leaf switch uplink (core) ports based on server bandwidth requirements. In top-tier intelligent computing networks, this ratio should be as close to <strong>1:1<\/strong>&nbsp;as possible to ensure no bottlenecks occur under maximum traffic pressure.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Importance_to_GPU_Clusters\"><\/span><strong>Importance to GPU Clusters <\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>AI training (especially for Large Language Models) has unique traffic patterns:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>All-to-All Communication<\/strong>: Distributed training involves collective communication (like All-Reduce) across all GPUs, generating massive &#8220;East-West&#8221; traffic that can instantly saturate the network.<\/li>\n\n\n\n<li><strong>High Burstiness<\/strong>: Traffic arrives in bursts during the communication phases that alternate with computation.<\/li>\n\n\n\n<li><strong>Sensitivity to Latency and Packet Loss<\/strong>: Even minor congestion or packet loss causes the entire cluster to wait, idling expensive GPU resources and drastically reducing training efficiency.<\/li>\n<\/ul>\n\n\n\n<p>If the core port ratio is insufficient, Leaf switch uplinks become congestion points during All-to-All communication, leading to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Increased latency due to buffering.<\/li>\n\n\n\n<li>TCP retransmissions or RoCE congestion control triggers.<\/li>\n\n\n\n<li>PFC backpressure and performance jitter.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Summary\"><\/span><strong>Summary <\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Core Ports<\/strong>: Specifically refers to the&nbsp;uplink ports&nbsp;on Leaf switches connecting to Spine switches.<\/li>\n\n\n\n<li><strong>Ratio Consistency<\/strong>: Network designs must ensure Leaf switches have enough high-bandwidth uplink ports to match total downlink bandwidth. This supports the full-bandwidth, full-mesh traffic of AI training, achieving a truly lossless, non-blocking network.&nbsp;This is the most distinct feature of intelligent computing centers compared to traditional data centers.<\/li>\n<\/ol>\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        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typical Spine-Leaf (CLOS) network architecture for intelligent computing centers: Consistent Access-to-Core Port Ratios The number and bandwidth of &#8220;downlink ports&#8221; (used to connect servers) on a Leaf switch should maintain a fixed and sufficient ratio\u2014typically&nbsp;1:1 or a high-standard configuration\u2014relative to 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