China is accelerating construction of its national computing network, and a growing share of new capacity is likely to use supernodes. With domestic AI accelerators still trailing leading global chips in single-card performance, Chinese vendors are increasingly relying on larger card counts, high-speed interconnects and system-level optimisation to close the gap.

High-bandwidth memory (HBM), a core component in AI semiconductors, has drawn fresh scrutiny after former Intel CEO Pat Gelsinger called it "lousy" at a recent AI summit in Paris. SK Hynix, the market leader in this type of memory, also said it is not the final answer to AI memory bottlenecks, underscoring the industry's push to find a next-generation memory architecture beyond HBM.

Connector maker Lotes is deepening its server business, with its server quick disconnect (QD) line set to enter mass production in July, and expansion is expected to accelerate at the same time. A new-generation server platform is expected to begin small-volume shipments in the fourth quarter of 2026, followed by a larger-scale ramp-up in early 2027, making both key growth drivers to watch in the coming quarters.

Alibaba Cloud's Lingjun Zhenwu M890 supernode has officially gone live, with its initial commercial deployment in Ulanqab, Inner Mongolia—the same super data center launched six years ago. The site is now hosting next-generation AI supernode compute capabilities, bringing Alibaba Cloud's "Five Super Data Centers" back into the spotlight as the company positions itself for the AI era.

For years, the logic of AI infrastructure has been straightforward: move more data, push more power, transmit more signals, remove more heat.

Taiwan Mobile announced on August 13 that it will acquire additional common shares of Systex through its wholly owned subsidiary Taiwan Cellular, raising its total stake to more than 50% and securing majority control of the IT services provider.