Alibaba to Train AI Model With Up to 10 Trillion Parameters
Chinese tech giant also unveils its most powerful chip yet and sets ambitious data center expansion targets through 2032.
Alibaba Group is preparing to train a massive new artificial intelligence model containing between 5 trillion and 10 trillion parameters, CEO Eddie Wu announced Tuesday as the company outlined an aggressive expansion across AI infrastructure, chips, and cloud computing.
The announcement, first reported by Reuters, positions Alibaba to compete at the frontier of large language model development, where parameter count—the number of adjustable values that determine a model's behavior—has become a key benchmark of capability and scale.
New chip claims performance lead
Alongside the AI model plans, Alibaba unveiled the Zhenwu V900, which the company describes as China's most powerful AI chip. According to Alibaba, the V900 delivers three times the performance of its predecessor, though the company did not disclose specific technical specifications or comparative benchmarks.
The chip announcement comes as Chinese technology companies work to develop domestic alternatives amid ongoing restrictions on access to advanced semiconductors from U.S. manufacturers.
Massive data center buildout planned
Alibaba Cloud, the company's cloud computing division, set an ambitious target to exceed 20 gigawatts of global data center capacity by 2032. That timeline gives the company roughly six years to substantially expand its infrastructure footprint to support both its own AI development and customer workloads.
The capacity target reflects the enormous energy and infrastructure requirements of training and operating large AI models, which demand specialized computing resources at unprecedented scale.
Why it matters
Alibaba's announcement signals China's determination to compete in the global AI race despite semiconductor restrictions and geopolitical headwinds. A model in the 5-10 trillion parameter range would rival or exceed the largest models currently deployed by Western companies, though parameter count alone doesn't determine model quality or usefulness. The simultaneous push on chips, models, and infrastructure shows Alibaba building a vertically integrated AI stack—a strategy that could prove essential as competition intensifies and supply chains remain uncertain. For enterprises evaluating AI partnerships, the expansion of Chinese capabilities creates new options while raising questions about data sovereignty, regulatory compliance, and long-term platform risk.
The details were first reported by Reuters correspondents Liam Mo and Eduardo Baptista.
This is an original analysis by the Omega editorial team. Source reporting: AI Watch.
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