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IntroductionIn high-performance computing (HPC), artificial intelligence (AI), and data-intensive applications, bandwidth and latency can make or break performance. Standard Ethernet has come a long way, but when workloads demand microsecond latencies, InfiniBand (IB) often becomes the interconnect of choice.InfiniB...

IntroductionIn today’s high-speed data centers and enterprise networks, choosing the right cable is critical. While fiber optics get most of the attention, Twinaxial cables (Twinax), especially in the form of Direct Attach Copper (DAC) cables remain one of the most cost-effective and reliable solutions for short-dis...

Introduction: Why Upgrade Speeds MatterModern workloads such as AI training, cloud computing, video streaming, and HPC (high-performance computing) are pushing networks harder than ever. If the network cannot keep up, servers and GPUs sit idle waiting for data.This is why many IT teams are planning their upgrade pat...

Introduction: Why Form Factors Matter?In the world of 400G and 800G networking, performance is not only about speed but also about form factor - the physical shape and design of the optical module. The form factor determines: How many ports fit on a switch faceplate. How much heat each port can handl...

Introduction: Why 400G and 800G Matter?The rise of AI training, HPC (high-performance computing), and hyperscale cloud services has pushed network bandwidth demands higher than ever. Ten years ago, 40G and 100G were cutting-edge. Today, many data centers are already migrating to 400G, and some are planning or testin...

Introduction: Why Interconnect Choice Matters?Modern data centers and AI clusters depend on fast, reliable interconnects to keep servers, switches, and storage talking at line rate. As speeds scale from 10G → 25G → 100G → 400G and beyond, the physical medium that links devices becomes just as important as the switch...

Introduction: Why Interconnect Choice Matters for AI?Training modern AI clusters is not only about powerful GPUs. The network that connects those GPUs often decides how well the cluster performs. If the network is too slow or unstable, GPUs will spend more time waiting for data than doing calculations.This is why ch...