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Deploying RDMA for Large-Scale Inference and Training Workloads
and-cluster-computingdistributedmachine-learningnetworking-and-internet-architectureparallelsystems-and-control
RDMA can reduce communication overhead in distributed machine learning systems, but realizing these benefits in production requires more than replacing TCP. Variable-size messages, concurrent connections, bursty incasts, and service failures introduce challenges that hardware offload alone cannot ad
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