Back to News
NewsAi

Alibaba Launches New AI Chip Zhenwu V900

Alibaba has launched the Zhenwu V900 AI chip, promising significant performance increases and plans for massive cloud infrastructure expansion.

Mercation Admin
September 22, 2026 2 min read
Alibaba Launches New AI Chip Zhenwu V900

Alibaba has launched its latest AI accelerator, the Zhenwu V900, which significantly outperforms its predecessor, the M890, offering three times the performance. This chip, developed by Alibaba's T-Head division, is engineered for training and inference of large language models (LLMs) and features 216 GB of memory along with a high-speed inter-chip connection providing 1200 GB/s bandwidth. The company aims to begin mass production and commercial deployment of the Zhenwu V900 by the first quarter of 2027.

Accompanying the chip, Alibaba introduced a new server supernode utilizing the V900, capable of clustering up to 500,000 chips to support extensive AI model training and deployment. Currently, more than 650 clients from various sectors are leveraging Zhenwu-based solutions through Alibaba Cloud.

Future AI Models with Trillions of Parameters

Alibaba plans to integrate the new accelerators into its AI framework, with ongoing training on the Qwen 4 model and future versions, Qwen 4.5 and Qwen 5, expected to scale to between 5 and 10 trillion parameters. This is a significant increase from the current Qwen 3.8-Max model, which has 2.4 trillion parameters. CEO Eddie Wu emphasized that these advancements are aimed at enhancing the ability to manage complex tasks requiring long-term planning, a step towards achieving artificial superintelligence.

The company is also exploring self-learning capabilities in its models, enabling them to identify weaknesses and autonomously improve through data generation. In a recent test, the Qwen 3.8-Max completed 33 automatic improvement cycles in just one month.

Cloud Infrastructure Expansion

To accommodate these advancements, Alibaba is planning a major expansion of its cloud infrastructure, with projections indicating that the total capacity of its data centers could exceed 20 GW by 2032. Wu acknowledged that the demand for AI is outpacing the company's ability to provide necessary computational resources, compounded by supply chain challenges. The rollout of AI supernodes is set to commence in the current quarter.

Alibaba's push for in-house processors comes in response to U.S. restrictions on the export of advanced Nvidia chips to China, prompting local firms to develop alternatives. In August, Alibaba raised $10.2 billion to invest in AI initiatives, focusing on computational infrastructure, proprietary chips, and model development.