Alibaba expands global AI presence with new data centres and qwen3-max launch

Alibaba announced Qwen3-Max, the company's largest AI language model, with more than 1 trillion parameters
An image of logo of Alibaba Group seen at the companys headquarters in Hangzhou, Zhejiang province, China July 20, 2018. — Reuters
An image of logo of Alibaba Group seen at the company's headquarters in Hangzhou, Zhejiang province, China July 20, 2018. — Reuters 

Alibaba, the Chinese e-commerce behemoth, is advancing its global AI strategy by announcing the establishment of its first data centres in Brazil, France, and the Netherlands.

Additional new centres in Mexico, Japan, South Korea, Malaysia, and Dubai over the next year will bring Alibaba’s network to 91 locations in 29 markets.

Notably, this launch shows Alibaba’s effort to emphasise AI and cloud computing as a core business mission next to e-commerce. Earlier this year, the entity stated it committed 380 billion yuan ($53.4 billion) to AI infrastructure and implementation over the next three-year period.

According to Reuters, Alibaba’s CEO Eddie Wu mentioned at the annual Apsara Conference that spending will continue to increase due to the acceleration of demand for AI.

“The speed of AI industry development has far exceeded our expectations, and the industry's demand for AI infrastructure has also far exceeded our expectations,” Wu said.

Alibaba Qwen3-Max AI model 

During the same event, Alibaba announced Qwen3-Max, the company's largest AI language model, with more than 1 trillion parameters. The company stated the model was capable of generating code and autonomous-agent techniques, requiring fewer human prompts compared with standard chatbots.

Moreover, independent benchmarks, such as Tau2-Bench, claimed that Qwen3-Max outperformed competitors, such as Anthropic's Claude and DeepSeek-V3.1, on some measurements.

Alibaba Qwen3-Omni AI model 

Alibaba also announced the launch of Qwen3-Omni, a multimodal AI for applications in virtual and augmented reality, including smart glasses and intelligent cockpits.

The company also announced a collaboration with Nvidia on a physical AI platform, including data synthesis, model training, and reinforcement learning.