Shares of the Chinese technology company Alibaba (BABA) have increased 34.1% year-to-date. Despite this notable gain, BABA ...

Alibaba (BABA) stock has gained significantly in value, climbing nearly 34.3% year-to-date. This surge reflects growing investor confidence as the Chinese tech giant continues to show strength across ...

Cloud growth has remained in the single ... And if you look at the pipeline, you can see that demand is still far from being satisfied," Alibaba CEO Eddie Wu Yongming said in the post-earnings ...

Alibaba has been working hard to turn around its core e-commerce business. It has been investing heavily in Tmall and Taobao ...

Alibaba's CMR and Cloud growth acceleration confirms my bullish ... driven by elevated AI infrastructure capex, amid rising AI demand and supportive PBOC policies. Despite the chip export ban ...

Alibaba’s Cloud Intelligence Group is the key long-term growth driver, fueled by AI demand and rapid expansion. International commerce is booming, providing diversification from China’s ...

Alibaba Group Holding’s ... cloud capital expenditures to meet excess demand, its leading public cloud market share, and its strong AI revenue growth potential, we remain optimistic about ...

Alibaba's Cloud Intelligence Group posted year-on-year sales growth of 13% to 31.742 billion ... "The AI era presents a clear and massive demand for infrastructure. We will aggressively invest ...

With Alibaba’s upcoming December quarter results, Keung forecasted group revenue growth of 7% and Alibaba Cloud revenue growth ... on long-term AI computing demand growth as further lowering ...

On top of this, AI is also being used to improve the efficiency and performance of containers – a true win-win. For example, ...

Alibaba Cloud aims to build "unified global cloud network", enabling Chinese firms to access consistent AI infra both domestically and internationally.

Analyst sees Alibaba Cloud's AI-driven growth accelerating ... Yet Keung remained positive on long-term AI computing demand growth as further lowering of training and inference costs could ...