{"id":28825,"date":"2026-06-20T03:16:33","date_gmt":"2026-06-19T18:16:33","guid":{"rendered":"https:\/\/aireviewirush.com\/?p=28825"},"modified":"2026-06-20T03:16:33","modified_gmt":"2026-06-19T18:16:33","slug":"powering-the-way-forward-for-ai-ciscos-breakthroughs-in-safe-ai-networking-with-nvidia","status":"publish","type":"post","link":"https:\/\/aireviewirush.com\/?p=28825","title":{"rendered":"Powering the Way forward for AI: Cisco&#8217;s Breakthroughs in Safe AI Networking with NVIDIA"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p>AI calls for a elementary rethinking of how we design, construct, and safe information facilities. Organizations are transferring previous the experimentation part and are deploying huge AI clusters that require unprecedented community bandwidth, energy, and safety controls. Constructing these giga-scale environments isn\u2019t nearly including extra GPUs. It requires a holistic, deeply built-in structure that ensures each part\u2014from the silicon to techniques to software program and the working mannequin\u2014works in good concord.<\/p>\n<p>Cisco is delivering the foundational infrastructure wanted to make this a actuality. By combining our networking experience with superior silicon, techniques, optics, software program, working fashions, and safety improvements, we\u2019re offering enterprises, neoclouds, and sovereign cloud suppliers with the instruments they should deploy AI securely at scale. Cisco stands out as the one vendor able to delivering a real turnkey answer, seamlessly tailor-made to fulfill the calls for of consumers at each scale.<\/p>\n<figure id=\"attachment_493706\" aria-describedby=\"caption-attachment-493706\" style=\"width: 768px\" class=\"wp-caption aligncenter\"><img fetchpriority=\"high\" decoding=\"async\" class=\"lazy lazy-hidden wp-image-493706 size-full\" data-lazy-type=\"image\" src=\"https:\/\/blogs.cisco.com\/gcs\/ciscoblogs\/1\/2026\/06\/murali-ai-networking-blog-feature-figure-1.png\" alt=\"Fully Integrated Stack: Nexus Dashboard for on premises and Hyperfabric for cloud management. Includes Silicon, Systems, Optics, Software, and Security and Observability.\" width=\"768\" height=\"432\"\/><noscript><img fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-493706 size-full\" src=\"https:\/\/blogs.cisco.com\/gcs\/ciscoblogs\/1\/2026\/06\/murali-ai-networking-blog-feature-figure-1.png\" alt=\"Fully Integrated Stack: Nexus Dashboard for on premises and Hyperfabric for cloud management. Includes Silicon, Systems, Optics, Software, and Security and Observability.\" width=\"768\" height=\"432\"\/><\/noscript><figcaption id=\"caption-attachment-493706\" class=\"wp-caption-text\">Determine 1: Unified administration aircraft with Cisco Nexus One<\/figcaption><\/figure>\n<p>Via our partnership with NVIDIA, we&#8217;re pushing the boundaries of what AI networks can obtain, specializing in three important pillars: infrastructure, networking, and safety.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_53 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 \" >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\" role=\"button\"><label for=\"item-6a35a8d6da359\" ><span class=\"\"><span 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><\/label><input aria-label=\"Toggle\" aria-label=\"item-6a35a8d6da359\"  type=\"checkbox\" id=\"item-6a35a8d6da359\"><\/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:\/\/aireviewirush.com\/?p=28825\/#Constructed_for_AI_factories\" title=\"Constructed for AI factories\">Constructed for AI factories<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/aireviewirush.com\/?p=28825\/#Securing_the_AI_workload_on_the_edge\" title=\"Securing the AI workload on the edge\">Securing the AI workload on the edge<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/aireviewirush.com\/?p=28825\/#Advancing_AI_networking_for_peak_efficiency\" title=\"Advancing AI networking for peak efficiency\">Advancing AI networking for peak efficiency<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/aireviewirush.com\/?p=28825\/#Empowering_the_subsequent_technology_of_innovation\" title=\"Empowering the subsequent technology of innovation\">Empowering the subsequent technology of innovation<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Constructed_for_AI_factories\"><\/span>Constructed for AI factories<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The transition to giga-scale AI requires {hardware} able to dealing with huge information throughput with minimal latency. Constructing on the enlargement of the lately introduced N9300 Silicon One G300 scale-out and 51.2T P200 scale-across techniques, Cisco is elevating the bar to fulfill these intense calls for.<\/p>\n<p>We&#8217;re thrilled to introduce the brand new Cisco N9100 Sequence Change, N9164F-NS6, powered by NVIDIA Spectrum-6 silicon. This 102.4T change delivers a large leap in information heart capability to help next-generation safe AI factories. We&#8217;re additionally making the N9100 switches out there with NVIDIA Spectrum-4 silicon, giving enterprises, neoclouds, and sovereign cloud suppliers versatile, high-performance deployment choices.<\/p>\n<p>We consider within the energy of silicon variety. This technique lets you select the precise expertise that matches your particular efficiency and operational wants. To maintain implementation easy, we guarantee full reference structure compliance. This streamlines your deployment and ensures easy integration into advanced information heart environments.<\/p>\n<p>Cisco retains elevating the efficiency ceiling, making superior AI infrastructure sooner and simpler to deploy. We launched the N9100 switches, powered by NVIDIA Spectrum-6 Ethernet silicon, to deal with the immense scale required by next-generation safe AI factories. This 100% liquid-cooled 102.4T change represents a serious leap ahead in AI information heart capability.<\/p>\n<p>As well as, the N9100 change, powered by NVIDIA Spectrum-4 silicon, can also be now out there, additional increasing deployment choices for enterprises, neoclouds, and sovereign cloud suppliers.<\/p>\n<figure id=\"attachment_493707\" aria-describedby=\"caption-attachment-493707\" style=\"width: 768px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"lazy lazy-hidden size-full wp-image-493707\" data-lazy-type=\"image\" src=\"https:\/\/blogs.cisco.com\/gcs\/ciscoblogs\/1\/2026\/06\/murali-ai-networking-blog-feature-figure-2.png\" alt=\"102.4T Cisco N9100 Scale Out Fabric, powered by NVIDIA Spectrum-6 Ethernet. Features N9164F-NS6, 100% liquid cooling, and Cisco Secure AI Factory. \" width=\"768\" height=\"432\"\/><noscript><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-493707\" src=\"https:\/\/blogs.cisco.com\/gcs\/ciscoblogs\/1\/2026\/06\/murali-ai-networking-blog-feature-figure-2.png\" alt=\"102.4T Cisco N9100 Scale Out Fabric, powered by NVIDIA Spectrum-6 Ethernet. Features N9164F-NS6, 100% liquid cooling, and Cisco Secure AI Factory. \" width=\"768\" height=\"432\"\/><\/noscript><figcaption id=\"caption-attachment-493707\" class=\"wp-caption-text\">Determine 1: Cisco N9164F-NS6<\/figcaption><\/figure>\n<p>To make deploying these advanced techniques simpler, we built-in Nexus One help with cloud-managed Cisco Nexus Hyperfabric. This creates a turnkey, full-stack AI answer. AI builders now not should piece collectively disparate elements and hope they operate effectively. Nexus Hyperfabric additionally now manages the newly out there Cisco N9164E-NS4-O, powered by NVIDIA Spectrum-4 Ethernet silicon. It affords pods of plug-and-play information heart materials, managed fully via the cloud, dramatically decreasing the time it takes to go from procurement to full operation. Nexus One features a sturdy, on-premises managed Nexus dashboard that could be a confirmed operations, automation information heart, and AI networking answer.<\/p>\n<p>Flexibility stays essential when designing these environments. Organizations have totally different wants primarily based on their measurement, safety necessities, and present infrastructure. To accommodate this, we provide sturdy reference architectures tailor-made to particular deployment sorts:<\/p>\n<ul>\n<li><strong>Cisco Cloud Reference Structure (CRA):<\/strong> For enterprises and neoclouds deploying specialised AI servers with larger than 1000 GPUs and as much as 32,000 GPUs, the Cisco CRA supplies a extremely optimized, scalable path ahead utilizing industry-leading Cisco Silicon One and Cisco N9300 Sequence Switches. For deployments of fewer than 1000 GPUs, we&#8217;ve ready-to-consume Cisco Enterprise Reference Structure (ERA).<\/li>\n<li><strong>Compliant with NVIDIA Cloud Associate Reference Design:<\/strong> For giant-scale AI infrastructures starting from 1000 to 32,000 GPUs, the Cisco N9100 Sequence Switches totally adjust to the NVIDIA Cloud Associate (NCP) Reference Structure. This ensures final efficiency for sovereign and neocloud deployments, using scale-out materials powered by Spectrum-X Ethernet change silicon.<\/li>\n<\/ul>\n<figure id=\"attachment_493708\" aria-describedby=\"caption-attachment-493708\" style=\"width: 768px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"lazy lazy-hidden wp-image-493708 size-full\" data-lazy-type=\"image\" src=\"https:\/\/blogs.cisco.com\/gcs\/ciscoblogs\/1\/2026\/06\/murali-ai-networking-blog-feature-figure-3.png\" alt=\"Comparison of Cisco Enterprise Reference Architecture (ERA) for &lt;1K GPU AI servers and Cloud Reference Architecture (CRA) for 1K-32K GPU AI servers. The chart details Cisco Silicon One, N9300\/N9100 series switch usage, and NVIDIA Spectrum-X Ethernet silicon requirements for each architecture.\" width=\"768\" height=\"432\"\/><noscript><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-493708 size-full\" src=\"https:\/\/blogs.cisco.com\/gcs\/ciscoblogs\/1\/2026\/06\/murali-ai-networking-blog-feature-figure-3.png\" alt=\"Comparison of Cisco Enterprise Reference Architecture (ERA) for &lt;1K GPU AI servers and Cloud Reference Architecture (CRA) for 1K-32K GPU AI servers. The chart details Cisco Silicon One, N9300\/N9100 series switch usage, and NVIDIA Spectrum-X Ethernet silicon requirements for each architecture.\" width=\"768\" height=\"432\"\/><\/noscript><figcaption id=\"caption-attachment-493708\" class=\"wp-caption-text\">Determine 3: Cisco Reference Architectures<\/figcaption><\/figure>\n<p>By providing a selection between NCP Reference Design and Cisco CRA architectures, we make sure that each buyer has a confirmed, validated blueprint for fulfillment, whether or not they\u2019re constructing a large sovereign cloud or a extremely focused enterprise AI cluster.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Securing_the_AI_workload_on_the_edge\"><\/span>Securing the AI workload on the edge<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>As AI clusters develop in energy and complexity, they develop into extremely enticing targets for malicious actors. Conventional perimeter safety fashions fail in these environments. Unprotected east-west site visitors inside the AI material permits lateral threats to unfold quickly. A compromised AI workload may result in GPU useful resource hijacking or huge information exfiltration, leading to a full lateral blast radius. Nevertheless, operating conventional safety brokers instantly on the AI servers taxes the CPU and GPU, draining the very compute assets you\u2019re making an attempt to maximise.<\/p>\n<p>To unravel this, we\u2019re essentially shifting the place and the way safety is enforced. We prolonged Cisco Hybrid Mesh Firewall help on to <a href=\"https:\/\/www.nvidia.com\/en-us\/networking\/products\/data-processing-unit\/\" target=\"_blank\" rel=\"noopener\">NVIDIA BlueField DPUs<\/a>.<\/p>\n<figure id=\"attachment_493709\" aria-describedby=\"caption-attachment-493709\" style=\"width: 768px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"lazy lazy-hidden size-full wp-image-493709\" data-lazy-type=\"image\" src=\"https:\/\/blogs.cisco.com\/gcs\/ciscoblogs\/1\/2026\/06\/murali-ai-networking-blog-feature-figure-4.png\" alt=\"Network diagram: Nexus One and Hybrid Mesh Firewall secure AI workloads (VPC 1, VPC 2) on an AI server. NVIDIA BlueField security policies block a lateral attack.\" width=\"768\" height=\"432\"\/><noscript><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-493709\" src=\"https:\/\/blogs.cisco.com\/gcs\/ciscoblogs\/1\/2026\/06\/murali-ai-networking-blog-feature-figure-4.png\" alt=\"Network diagram: Nexus One and Hybrid Mesh Firewall secure AI workloads (VPC 1, VPC 2) on an AI server. NVIDIA BlueField security policies block a lateral attack.\" width=\"768\" height=\"432\"\/><\/noscript><figcaption id=\"caption-attachment-493709\" class=\"wp-caption-text\">Determine 4: AI workload safety for front-end material servers<\/figcaption><\/figure>\n<p>This innovation brings safety as near the workload as potential with out compromising efficiency. By embedding the firewall on the DPU, we ship built-in inline safety with high-performance scalability. Directors can outline safety insurance policies as soon as and implement them in every single place, isolating digital public clouds (VPCs) and blocking lateral assaults in actual time. This supplies choke-point-free enforcement, defending front-end material servers whereas leaving the host CPU and GPU fully devoted to processing AI workloads.<\/p>\n<p>To study extra about how we&#8217;re defending AI environments from lateral threats with out sacrificing efficiency, learn our detailed technical breakdown:<a href=\"https:\/\/blogs.cisco.com\/datacenter\/cisco-secures-ai-infrastructure-with-nvidia-bluefield-dpus\" target=\"_blank\" rel=\"noopener\"> Cisco secures AI infrastructure with NVIDIA BlueField DPUs<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Advancing_AI_networking_for_peak_efficiency\"><\/span>Advancing AI networking for peak efficiency<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Even essentially the most highly effective GPUs will sit idle if the community can\u2019t feed them information quick sufficient. Maximizing GPU utilization and optimizing the key-value (KV) cache efficiency requires clever, high-speed connectivity throughout the whole material. That is the place Cisco Nexus One essentially adjustments the sport for AI networking.<\/p>\n<p>Nexus One supplies a unified administration aircraft throughout each NX-OS and SONiC environments with an on-premises managed Nexus Dashboard and cloud-managed Nexus Hyperfabric as operational fashions.<\/p>\n<p>Nexus Dashboard delivers unprecedented visibility into the full-stack AI atmosphere with Cisco N9000 Sequence Switches. Directors acquire entry to deep AI job-monitoring capabilities with Nexus Dashboard 4.2. Observe precisely how information strikes via the material, figuring out bottlenecks earlier than they impression coaching instances. The system options clever, auto-adjusting load balancing and telemetry-based congestion management. As a substitute of counting on static routing protocols that break down beneath the distinctive, elephant-flow site visitors patterns of AI workloads, the community dynamically adjusts to make sure optimum information supply.<\/p>\n<p>Moreover, Nexus Dashboard permits real-time GPU well being monitoring. Community operators can see instantly into the efficiency metrics of the compute layer, guaranteeing that each costly GPU useful resource operates at most effectivity. Whether or not you\u2019re constructing a scale-out community inside a single information heart or a scale-across community connecting a number of amenities with high-performance, low-latency hyperlinks, Nexus Dashboard ensures the community acts as a strong accelerator somewhat than a bottleneck.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Empowering_the_subsequent_technology_of_innovation\"><\/span>Empowering the subsequent technology of innovation<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The AI revolution requires extra than simply uncooked processing energy. It calls for a completely built-in ecosystem the place infrastructure, networking, and safety are designed to function as a single, cohesive unit.<\/p>\n<p>Via our continued improvements with the Spectrum-X-powered Cisco N9100 Sequence Switches, the clever administration of Nexus One, and the edge-enforced safety of the Cisco Hybrid Mesh Firewall on BlueField DPUs, Cisco supplies the muse that enterprises, neoclouds, and sovereign clouds have to scale their AI ambitions. We\u2019re constructing the networks that can energy the subsequent decade of discovery, guaranteeing they&#8217;re quick, dependable, and essentially safe.<\/p>\n<blockquote>\n<\/blockquote><\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>AI calls for a elementary rethinking of how we design, construct, and safe information facilities. Organizations are transferring previous the experimentation part and are deploying huge AI clusters that require unprecedented community bandwidth, energy, and safety controls. Constructing these giga-scale environments isn\u2019t nearly including extra GPUs. It requires a holistic, deeply built-in structure that ensures [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":28827,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22],"tags":[],"class_list":["post-28825","post","type-post","status-publish","format-standard","has-post-thumbnail","category-iot"],"_links":{"self":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/28825","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=28825"}],"version-history":[{"count":1,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/28825\/revisions"}],"predecessor-version":[{"id":28826,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/28825\/revisions\/28826"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/media\/28827"}],"wp:attachment":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=28825"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=28825"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=28825"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}