At the Huawei Connect 2026 event in Shanghai on September 17, Huawei ICT BG CEO Yan Chaobin introduced Lingqu UnifiedBus as the central interconnection element for a new joint cluster and SuperPoD architecture designed for Agentic AI workloads.
Huawei explained that as clusters grow, efficiency often decreases due to card communication latency. Furthermore, training models with 10 trillion parameters and frequent data exchange between agents and models push the KV Cache and intermediate data far beyond the memory of a single card, making the factory design a performance bottleneck.
The core principles of Lingqu's design include protocol unification: over ten interconnect protocols are merged into a single factory with Lingqu memory semantics. Interconnect bandwidth increases from the 100 GB class to the TB class, and round-trip time is reduced from approximately 7 microseconds to 2 microseconds, enabling global memory access within the SuperPoD.
Central Processing Units (CPUs), Neural Processing Units (NPUs), memory, and Solid State Drives (SSDs) are connected as equal elements for decentralized access. A flexible ratio of CPU to NPU is provided, along with hardware acceleration for Attention and FFN splitting for AF-distributed deployment. Multi-level storage pools can handle activations and use DDR as secondary memory for NPUs, while the optical network is positioned as a high-speed, low-latency data transmission channel for elastic scaling and expansion.
Huawei also announced multi-level Lingqu interconnect hardware, covering rack, inter-rack, and cluster levels. Modules within the rack eliminate losses from copper cables and circuitry—Huawei claims that a 4096-card SuperPoD can save about 196 kilometers of copper cable. Inter-rack switches provide 176 ports with 1.6 Tbps bandwidth each, delivering 280 TB of optical bandwidth per chassis at an RTT delay of about 2 microseconds. The Lingqu Xinghe UBG network switches advertise a branching factor of 1024, designed to support the construction of SuperClusters with millions of cards as models grow to tens of trillions of parameters.
At this factory, Huawei described the Agentic SuperPoD cluster, which combines Kunpeng 950, Ascend 960 SuperPoD, OceanStor M900 memory storage, and UBG switches for heterogeneous computing and unified resources. A similar interconnection story extends to devices: the Atlas 650E air-cooled server can directly connect 16 NPUs across two nodes without a switch, functioning as a small SuperPoD for on-site trillion-parameter inference. The emphasis is placed on co-designing the system and interconnects, not just the near-packet optics of the Ascend 960 SuperPoD, and this remains a vendor roadmap statement until independent cluster measurements are available.


