Business News Tech AI Alibaba plans AI model with 5 trillion to 10 trillion parameters, unveils new chip

Alibaba plans AI model with 5 trillion to 10 trillion parameters, unveils new chip

Speaking at Alibaba Cloud's annual Apsara Conference in Hangzhou, Wu said the company's Qwen team was continuing research into model architecture and data optimisation, with the goal of completing "more complex, longer-horizon tasks" and advancing toward artificial superintelligence, or ASI.

Alibaba Group plans to train a new artificial intelligence model with between 5 trillion and 10 trillion parameters, Chief Executive Eddie Wu said on Tuesday, as the Chinese technology giant outlined a sweeping strategy encompassing AI models, chips and data centres. Speaking at Alibaba Cloud 's annual Apsara Conference in Hangzhou, Wu said the company's Qwen team was continuing research into model architecture and data optimisation, with the goal of completing "more complex, longer-horizon tasks" and advancing toward artificial superintelligence, or ASI. Parameters are the variables a model learns during training and are a rough gauge of its size.

4 trillion parameters, meaning the planned model would be roughly two to four times larger. Wu said Alibaba's proprietary M890 AI supernode already handles inference for models above 2 trillion parameters, a capability he said only "a handful of companies globally" possess. The Qwen team has made "meaningful progress" on recursive self-improvement, in which models identify their own limitations, design experiments and synthesise data to drive a cycle of self-evolution, he said. Alibaba also introduced the Zhenwu V900, a next-generation AI chip from its T-Head semiconductor unit, which Wu called the most powerful AI chip in China.

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