Alibaba has taken a significant step in advancing China’s domestic AI capabilities with the unveiling of its latest artificial intelligence chip, the Zhenwu V900. Developed by Alibaba’s semiconductor unit T-Head, the new accelerator is designed to handle both AI training and inference tasks, marking a key milestone in the company’s push to build a full-stack AI ecosystem.
According to Alibaba, the V900 delivers three times the performance of its predecessor, the Zhenwu M890 chip, which was launched in May. While the company did not provide independent benchmark results to support this claim, the V900 is scheduled to enter mass production and commercial release in the first quarter of 2027.
Zhenwu V900 Specifications
The V900 comes equipped with 216GB of memory and offers 1,200GB/s of chip-to-chip bandwidth. It also supports FP8 and FP4 precision formats, which are becoming increasingly critical for efficient AI inference and large-scale model workloads.
Alibaba stated, “The chip can be connected into clusters containing as many as 500,000 accelerators. This architecture is designed to handle demanding AI workloads that require thousands of processors to work together.”
The company is also integrating the V900 with its broader hardware stack, including networking and storage components, allowing Alibaba to control more of the infrastructure required to train and deploy large AI models. This strategy directly links Alibaba’s chip development with its AI model roadmap, as more powerful accelerators provide the computing capacity needed for increasingly large models.
Alibaba Expands AI Infrastructure
Alibaba is also planning a major expansion of its cloud infrastructure. CEO Eddie Wu stated, “Alibaba Cloud aims to increase its global data-center capacity to more than 20 gigawatts by 2032.”
The V900 highlights Alibaba’s effort to develop chips, AI models, and cloud infrastructure as one integrated ecosystem. This initiative comes as Chinese technology companies accelerate domestic AI chip development amid restrictions on access to advanced foreign processors.
The tech giant further explained that demand for AI computing is growing rapidly while supply constraints limit the pace of expansion. Alibaba also plans to bring AI supernodes into commercial operation this quarter.