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Zhipu has acquired AI Infra company Zhongke Jiahe for hundreds of millions, fully addressing the shortcomings in underlying heterogeneous computing power engineering

According to "AI Technology Review," China's leading large model company Zhipu has invested hundreds of millions of yuan to acquire the AI heterogeneous computing power software infrastructure company Zhongke Jiahe. This move aims to completely address Zhipu's shortcomings in underlying engineering and compiler capabilities for large models, in response to the structural shortage of computing power and high-concurrency inference challenges brought about by the explosive growth in user numbers.Zhongke Jiahe's technology originates from the Compiler Laboratory of the Institute of Computing Technology, Chinese Academy of Sciences, founded by Dr. Cui Huimin. Its core team has been deeply involved in the development of compilers for several domestic chips, including Loongson, Sunway, Cambrian, and Huawei Ascend. Zhongke Jiahe's core advantage lies in its virtual instruction set technology, which can unify different brands and models of chip ecosystems through middleware software, assembling scattered domestic chips into a unified ultra-large-scale cluster, thereby significantly improving overall computing power utilization; its SigInfer inference engine is officially claimed to reduce large model inference latency by up to 74 times.Recently, Zhipu's Coding Agent business has experienced explosive growth. The newly released GLM-5.2 large model saw an average daily Token call volume surge 27 times in the first week of its launch on the aggregation platform, leading to the exposure of systemic engineering bottlenecks in its inference infrastructure under high concurrency and long context scenarios. After being placed on the U.S. Entity List, Zhipu has actively promoted domestic alternatives and has now completed inference adaptation for eight major domestic computing power platforms, including Huawei Ascend, PingTouGe, and Moore Threads. The acquisition of Zhongke Jiahe will not only directly improve Zhipu's unit Token inference cost and output quality but will also provide core underlying compiler technology support for its previously rumored self-developed custom AI inference chip plan.

Jiang Zhuoer interprets MSTR's capital structure, stating that BTC reserves can cover years of dividend expenses, but market sentiment is cautious

Jiang Zhuoer stated that MicroStrategy (MSTR) currently holds approximately $55 billion in Bitcoin assets, corresponding to an annual dividend expenditure of about $1.7 billion for its STRC preferred shares, which theoretically could cover about 32 years of dividend needs by selling BTC. STRC is a preferred stock rather than a debt instrument, so there is no traditional pressure for mandatory repayment. From a financial structure perspective, MSTR does not face "forced liquidation-style leverage risk" or short-term repayment crises.However, the related statements reflect that market concerns about its long-term cash flow and the volatility of crypto assets are rising. Currently, STRC has shown significant discount fluctuations, and its refinancing ability is limited. In addition, MSTR has recently relied more on methods such as issuing common stock to increase its BTC holdings (which may dilute the per-share Bitcoin amount when mNAV is below 1), and this strategy is difficult to sustain in the long term.Jiang Zhuoer indicated that even if the actual scale of MSTR selling BTC to pay dividends is relatively small compared to the entire market, its symbolic significance may be more important, potentially putting pressure on market confidence and causing investors to reassess the possibility of "long-term passive selling of coins." The market's understanding of this structure is not consistent, and this cognitive difference itself may become an important factor influencing expectations and sentiment.
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