Huawei’s Intelligent Lossless Data Center Network is specifically designed to meet the stringent requirements of AI computing workloads , which generate massive east-west traffic and exhibit bursty communication patterns such as incast scenarios . Therefore, traffic control in incast scenarios (A) is a critical requirement to prevent buffer overflow and packet loss.
Fast and efficient load balancing (B) is also essential, as AI training jobs rely on distributed computing across multiple nodes. Technologies like ECMP and flowlet-based load balancing ensure even traffic distribution and optimal link utilization.
Quick congestion control (C) is another key requirement. Mechanisms such as PFC (Priority Flow Control) and ECN (Explicit Congestion Notification) are used in Huawei CloudFabric to achieve near lossless transmission, which is vital for RDMA-based AI workloads.
However, High-performance computing (HPC) (D) is not a network requirement—it is an application and compute domain concept . While AI workloads may run on HPC systems, HPC itself is not a characteristic or requirement of the network.
Therefore, the correct answer is D .
