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Introduction: Why Network Architecture Matters for AI/HPCAs GPUs, CPUs, and accelerators get faster, the network fabric that connects them often becomes the bottleneck. In modern AI training or high-performance computing (HPC), data has to move quickly and predictably between thousands of servers.Traditional enterpr...

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...

For more than a decade, NVIDIA has been pushing the limits of GPU-to-GPU communication. As deep learning, high-performance computing (HPC), and large-scale simulations demand ever-greater parallelism, the bandwidth bottleneck of PCIe became a critical roadblock. To address this, NVIDIA introduced NVLink, a proprieta...