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InfiniBand is a high-speed switched interconnect used in clusters, and RDMA supports direct transfers between registered memory buffers.
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Offloaded bulk data movement can reduce CPU copying and kernel-path overhead; CPUs and software still configure, initiate and manage the communication.
Distributed AI training can spend substantial time moving gradients and other tensors between devices and servers. InfiniBand provides a switched fabric with RDMA support and link-level flow control. NDR denotes a 400 Gb/s link mode in the cited NVIDIA hardware documentation; application throughput and latency depend on messages, adapters, topology and workload. RDMA-capable adapters can move bulk data to registered buffers without the repeated host copying of a conventional path. This does not mean software or CPUs have no role: applications create communication objects, register buffers and post work. RoCE carries RDMA over Ethernet, with its own network-design requirements. Select and benchmark a fabric using the actual collective traffic, congestion and failure conditions.
Connecting thousands of GPUs in an AI supercomputer so gradient data moves between nodes in microseconds during distributed training
Letting one server read another's memory directly (RDMA) to accelerate distributed file systems and databases without CPU overhead
Running NCCL all-reduce operations over InfiniBand to synchronize model weights across a GPU cluster
Using RoCE to bring RDMA-style low-latency transfers to existing Ethernet data-center networks
Interconnects and adapters continue to evolve, and vendors offer different bandwidth modes and offloads. Teams should compare measured throughput, latency, CPU work, congestion handling and reliability under their own workload. In-network reductions and closer accelerator integration may help particular configurations, but a headline link rate does not determine training performance by itself. Keep hardware, firmware and software versions with benchmark results.
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InfiniBand is a high-speed switched interconnect used in clusters, and RDMA supports direct transfers between registered memory buffers. Offloaded bulk data movement can reduce CPU copying and kernel-path overhead; CPUs and software still configure, initiate and manage the communication.
RDMA offloads data movement but software still sets up and manages communication.
RDMA hardware can move data between prepared buffers with less repeated host copying and kernel-path work. Software still handles setup, registration, permissions, and completion processing.
A four-lane NDR400 InfiniBand link is rated at 400 Gb/s. This link-rate figure does not guarantee an application’s effective transfer throughput.
Applications post work requests to send and receive queues (queue pairs); the host channel adapter reads them and performs the direct memory transfers.
RoCE stands for RDMA over Converged Ethernet, allowing low-latency, kernel-bypass transfers on standard Ethernet fabrics instead of native InfiniBand.
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