# cabling Published articles for cabling. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Using AI to re-architect the Cisco DevNet sandbox environment - Part 1 DevFeed: [Using AI to re-architect the Cisco DevNet sandbox environment - Part 1]() Original publisher: [Read original article]() Author: Adrian Iliesiu Published: 2026-10-22T19:00:34Z Content type: article Language: en Sources: [Cisco Blogs]() Topics: [IP routing](), [Artificial Intelligence]() Tags: [25g](), [400g](), [agentic-ai](), [aggregation](), [ai](), [ai-agent](), [ai-for-networking](), [architect](), [architecture](), [bgp](), [bgp-evpn](), [border](), [cabling](), [cisco](), [cisco-devnet](), [cisco-nexus](), [design](), [devnet](), [devnet-sandbox](), [fabric](), [network](), [network-design](), [routers](), [sandbox](), [vpc]() ### AI overview Claude's topology review led the author to replace a planned spine-leaf fabric with a two-tier vPC design and keep two routers as spares. It first flagged that the routers should connect through border leaves because spines in the described design connect only to leaves; direct router-to-spine links also mismatched the C8475-G2's 25G ports with the 93600's QSFP ports. After clarifying that the routers would not run BGP and that classic VLANs had to span multiple leaves, the author concluded the fabric needed a two-tier vPC design, not a routed-access Clos: classic VLANs would not span a routed spine-leaf fabric without an overlay. The article also says Nexus switches can route inter-VLAN traffic in hardware at line rate, while the 8400 Series routers top out at roughly 91 Gbps, making them a poor place for fabric gateways. The author recommends sharing the full design for review, checking hardware claims, and answering requirements questions precisely. ### Source excerpt An AI agent reviewed our sandbox network design, caught routers hanging off the spines, and asked one question that turned a Clos fabric into a two-tier vPC design. ## Achieve Productive AI Capacity Faster and More Predictably with NVIDIA DSX POD DevFeed: [Achieve Productive AI Capacity Faster and More Predictably with NVIDIA DSX POD]() Original publisher: [Read original article]() Author: Tanya Lenz Published: 2026-10-21T09:35:32Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [NVIDIA DSX](), [AI Infrastructure](), [NVIDIA Vera Rubin](), [implementation](), [Network]() Tags: [ai](), [ai-factories](), [ai-factory](), [ai-infrastructure](), [ai-workloads](), [architecture](), [cables](), [cabling](), [cluster](), [compute](), [connect](), [connectivity](), [container](), [containers](), [control](), [data-center-cloud](), [dsx](), [dsx-pod](), [featured](), [gtc-berlin-2026](), [nvidia](), [nvidia-dsx](), [token](), [top-stories](), [vera-rubin]() ### AI overview NVIDIA DSX POD is a standardized, factory-built AI factory design for NVIDIA Vera Rubin rack-scale systems. It shifts repeatable integration and functional validation of compute, networking, storage, power, cooling, cabling, and controls into the factory, so site work can focus on placement, external hookups, and commissioning. Site preparation can proceed in parallel with manufacturing, which is intended to reduce field integration and improve schedule predictability; the article does not quantify those gains. The design specifies an 800 VDC container power interface, while partners engineer upstream site power to local conditions. It also defines internal liquid-cooling and network interfaces, factory checks, and transport requirements. DSX POD is one deployment option: conventional construction and onsite integration remain available, and the design does not remove the need for prepared site infrastructure or onsite work. NVIDIA provides the engineering foundation, while ecosystem partners customize, build, deploy, and support implementations. ### Source excerpt AI factories turn energy into intelligence. But before an AI workload can produce its first token, operators must bring an interconnected system of compute,... ## How AI Is Changing Job Applications and Hiring DevFeed: [How AI Is Changing Job Applications and Hiring]() Original publisher: [Read original article]() Author: David Pereira Published: 2026-09-17T12:29:36Z Content type: opinion Language: en Sources: [Untrapping Product Teams]() Topics: [Job](), [Artificial Intelligence](), [Software Engineering]() Tags: [ai](), [cabling](), [computer-science](), [hiring](), [java](), [job](), [network](), [software-engineering]() ### AI overview The article argues that AI is changing the job market by helping candidates apply to more positions while helping companies filter applicants. It presents this as an AI-versus-AI dynamic and suggests that candidates need a different strategy to stand out. The author also recounts an indirect path into software engineering. ### Source excerpt I have a confession for you. ## Multi-Core Fiber: Several Optical Cores Inside One Strand DevFeed: [Multi-Core Fiber: Several Optical Cores Inside One Strand]() Original publisher: [Read original article]() Author: j2sw Published: 2026-08-18T13:39:00Z Content type: tutorial Language: en Sources: [Justin Wilson (j2sw)]() Topics: [Hardware](), [Network](), [interface]() Tags: [400g](), [cabling](), [channel](), [connectors](), [data-center](), [fiber](), [fiber-optics](), [internet-architecture](), [multi-core-fiber](), [network-engineering-resources](), [networks](), [optical-networking](), [optics](), [space-division-multiplexing](), [transmission]() ### AI overview This article explains how multi-core fiber places several optical cores inside one standard 125-micron cladding. It distinguishes MCF from high-fiber-count cable, describes aggregate capacity using separate channels and space-division multiplexing, and explains the need for specialized optical interfaces, connectors, splicing, and testing. ### Source excerpt Multi-core fiber places several independent optical cores inside one standard 125-micron cladding. It increases channel density, but it also requires different connectors, splicing methods, and testing procedures. The post Multi-Core Fiber: Several Optical Cores Inside One Strand appeared first on Justin Wilson (j2sw). ## Multi-Core Fiber and How It Is Used in Data Centers DevFeed: [Multi-Core Fiber and How It Is Used in Data Centers]() Original publisher: [Read original article]() Author: j2sw Published: 2026-08-12T14:27:20Z Content type: tutorial Language: en Sources: [Justin Wilson (j2sw)]() Topics: [data centers]() Tags: [400g](), [cabling](), [connectors](), [data-center](), [data-centers](), [fiber](), [fiber-optics](), [it-operations](), [mpo](), [mtp](), [multi-core-fiber](), [network-engineering-resources](), [optics](), [panel](), [parallel](), [single-mode](), [structured-cabling]() ### AI overview This article explains how "multi-core fiber" is used in data center discussions, distinguishing multi-fiber or high-fiber-count cables from true multicore fiber. It covers cable construction, fiber counts, single-mode and multimode options, and MPO and MTP connectors. ### Source excerpt If you work around data centers and high-density builds, you have probably heard the term "Multi-Core Fiber" thrown around. People use it in a few different ways. Sometimes, it means a new fiber trunk that comes into a cabinet as a single cable and breaks out into dozens or even hundreds of fibers. That setup ... Read more The post Multi-Core Fiber and How It Is Used in Data Centers appeared first on Justin Wilson (j2sw). ## What Is NBASE-T? More Bandwidth Without Replacing Your Cabling DevFeed: [What Is NBASE-T? More Bandwidth Without Replacing Your Cabling]() Original publisher: [Read original article]() Author: j2sw Published: 2026-06-25T03:44:25Z Content type: tutorial Language: en Sources: [Justin Wilson (j2sw)]() Topics: [Ethernet](), [Network](), [Hardware](), [Wi-Fi]() Tags: [2-5g-ethernet](), [cabling](), [cat5e](), [cat6](), [ethernet](), [hardware](), [interface](), [nbase-t](), [network](), [network-operations](), [speed](), [structured-cabling](), [use-cases](), [wi-fi-7](), [wifi-7]() ### AI overview This tutorial explains how NBASE-T provides 2.5 Gbps and 5 Gbps Ethernet speeds between traditional Gigabit and 10 Gigabit Ethernet over existing copper cabling. It covers auto-negotiation, RJ-45 compatibility, and use cases such as Wi-Fi access points and security cameras. ### Source excerpt NBASE-T bridges the gap between 1 Gigabit and 10 Gigabit Ethernet by supporting 2.5 Gbps and 5 Gbps over existing copper cabling. Learn how it works, where it makes sense, and what network engineers should look for when deploying and troubleshooting multi-gigabit links. The post What Is NBASE-T? More Bandwidth Without Replacing Your Cabling appeared first on Justin Wilson (j2sw). ## Flat Datacenter Networks at Scale DevFeed: [Flat Datacenter Networks at Scale]() Original publisher: [Read original article]() Author: James Hamilton Published: 2026-06-08T22:45:28Z Content type: article Language: en Sources: [Perspectives]() Topics: [cloud-infrastructure](), [Network](), [Routing (disambiguation)](), [Graphs](), [Load Balancing](), [Computing]() Tags: [architecture](), [balancing](), [cabling](), [datacenter](), [hardware](), [networks](), [performance](), [random-graphs](), [routing](), [scale](), [services](), [software]() ### AI overview This article traces the development of data-center network designs from expander graphs and randomized routing to hierarchical fat-tree architectures and random-graph approaches such as Jellyfish. It discusses the potential performance benefits of random connectivity alongside challenges in routing, cabling, and operations at scale. ### Source excerpt The research roots of finding "optimal routing" networks trace back to the late 1970s. Mathematicians defined special kinds of networks called "expanders". These are graphs with strong connectivity properties guaranteeing no subset of vertices can be isolated from the rest. In 1976, Leslie Valiant gave one of the earliest discussions of such graphs. Following work... ## Strengthening the U.S. AI supply chain through domestic manufacturing DevFeed: [Strengthening the U.S. AI supply chain through domestic manufacturing]() Original publisher: [Read original article]() Published: 2026-01-15T00:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [AI Infrastructure](), [Artificial Intelligence](), [data-engineering](), [Machine learning](), [stargate]() Tags: [2026](), [advanced](), [ai](), [ai-infrastructure](), [ai-leadership](), [ai-supply-chain](), [assembly](), [build](), [building](), [cabling](), [capabilities](), [capacity](), [chips](), [global-affairs](), [infrastructure](), [jobs](), [launches](), [manufacturing](), [openai](), [scaling](), [supply-chain]() ### AI overview OpenAI's RFP seeks proposals from U.S. manufacturers, suppliers, and partners building or prepared to build components for the AI supply chain. It covers consumer electronics modules, tooling and assembly; compute, power, cooling and other data-center hardware; and robotics inputs such as gearboxes, motors and power electronics. The initiative aims to identify domestic capacity and partnerships that could shorten infrastructure timelines, strengthen resilience and support manufacturing growth. Responses will inform partnerships, procurement strategies and infrastructure planning; proposals will be reviewed on a rolling basis, with a June 2026 submission deadline. ### Source excerpt OpenAI launches a new RFP to strengthen the U.S. AI supply chain by accelerating domestic manufacturing, creating jobs, and scaling AI infrastructure.