Alibaba CEO Eddie Wu said the company plans to train an AI model with between 5 trillion and 10 trillion parameters, roughly two to four times the size of its current 2.4-trillion-parameter Qwen 3.8 Max. The research is aimed at more complex, longer-horizon work, while Wu said the Qwen team had made progress on recursive self-improvement.
Alibaba also unveiled the Zhenwu V900 accelerator from its T-Head semiconductor unit, claiming three times the performance of the M890 and support for clusters of up to 500,000 cards. The company set a target for Alibaba Cloud's worldwide data-centre capacity to pass 20 gigawatts by 2032, while acknowledging that supply-chain shortages constrain expansion.
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