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Introduction: Why Network Architecture Matters for AI/HPCAnswer first: spine-leaf is a two-tier fabric pattern in which each leaf connects to each spine, but AI/HPC suitability depends on radix, tiers, rails, oversubscription, ECMP, routing, congestion, FEC, loss model, NICs, switches, cables, software, failures, an...

Introduction: Why Faster NICs Matter TodayA decade ago, 1 Gigabit Ethernet was considered more than enough for most use cases. But the explosion of AI training, cloud computing, virtualization, high-resolution video, and massive data storage has quickly pushed gigabit links to their limits.Today, 10G, 25G, and 100G ...

Why InfiniBand is Everywhere in AI/HPC?Modern AI and high-performance computing (HPC) workloads are pushing traditional networking technologies to their limits. Training large language models (LLMs), simulating complex physics, or running large-scale genomics pipelines require not just powerful GPUs but also determi...

Why InfiniBand Matters in 2025?Artificial intelligence (AI) and high-performance computing (HPC) are evolving at a breathtaking pace. Large language models (LLMs), climate simulations, genomic analysis, and financial risk modeling all demand unprecedented computing performance. For these workloads, network interconn...

Answer first: NVLink is NVIDIA's proprietary interconnect for supported CPU/GPU and GPU/GPU domains, while NVSwitch builds a switched NVLink fabric; compare only the exact architecture, system topology, link count, direction convention, software, workload, and documented peak conditions. Review NVIDIA's Hopper NVLin...