TMTPOST — Silicon design house KiwiMoore officially introduced the domestic sector's first 800G AI Super Network Interface Card (SNIC) platform at an integrated circuit industry forum on Tuesday, delivering high-speed data transmission capabilities tailored for intensive machine learning environments. The network architecture delivers 800G bandwidth with microsecond-level latency and supports millions of concurrent queues to handle large-scale data transfers across server clusters. Built on an ethernet foundation to keep deployment costs manageable, the high-performance platform integrates dedicated remote direct memory access (RDMA) acceleration engines—featuring packet spraying, out-of-order reassembly, and custom congestion control algorithms—to prevent network bottlenecks during heavy model training workloads. This hardware release highlights an accelerating engineering drive to optimize networking pipelines within advanced data center clusters. By combining high-throughput flexibility with standard ethernet compatibility, hardware developers are aiming to lower deployment barriers and cut infrastructure costs for operators scaling out massive computing networks.