InfiniBand (IB) is a high-performance, low-latency, and high-throughput network communications standard used primarily in supercomputing, artificial intelligence (AI) training, and data center clustering. Unlike traditional Ethernet, it utilizes a switched fabric topology and Remote Direct Memory Access (RDMA) to enable direct memory-to-memory communication, bypassing the CPU to achieve significantly faster data transfer speeds, with modern versions reaching up to 400 Gbps. InfiniBand offers sub-microsecond latency and is designed to eliminate network bottlenecks, making it ideal for AI, machine learning (ML), and large-scale, high-performance computing (HPC) workloads. This core feature allows servers to transfer data directly from their memory to another server's memory without involving the operating system, reducing CPU usage and improving efficiency. InfiniBand uses link-level flow control (credit-based) to ensure data is not lost during transmission, eliminating the need for retransmissions and ensuring consistent, high-speed performance. The infrastructure includes Host Channel Adapters (HCAs) for servers, InfiniBand switches, and a Subnet Manager, which is responsible for managing the network fabric. It is the dominant interconnect technology in the TOP500 list of supercomputers and is heavily used in NVIDIA-powered AI systems to connect GPUs and storage. While Ethernet is common for general enterprise traffic, InfiniBand is preferred for applications requiring maximum speed and minimal delay. It provides a faster, more reliable interconnect for data-intensive, parallel computing tasks.
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