Alibaba introduced a more powerful new training and inference chip, Zhenwu M890, and the latest version of its Qwen models.

Alibaba Cloud, the cloud arm of tech giant Alibaba Group, has unveiled a new artificial intelligence chip and an ambitious multi-year semiconductor roadmap, as the company pushes…

Alibaba announced updates to its AI offerings, including a more powerful chip and a new large language model.

Alibaba Unveils New AI Chip, Upgrades AI Model

Alibaba has launched its new Zhenwu M890 AI chip, offering triple the performance of its previous model. This development is part of China's push for domestic AI alternatives amid…

Alibaba's T-Head chip unit has unveiled the Zhenwu M890, its highest-spec AI accelerator yet, and said the chip is now in 'scaled mass production' as China accelerates its…

Alibaba has introduced the Zhenwu M890, boasting triple the performance of its predecessor with 144 GB GPU memory and 800 GB/s interchip bandwidth.

The world’s biggest e-commerce group launches Qwen3.7-Max, its new large language model designed as a robust foundation for AI models.

Alibaba's Zhenwu M890 is built for AI agents, not just faster inference. With a chip roadmap to 2028 and Qwen 3.7-Max, this is a platform play.

The Zhenwu M890 comes with 144GB of GPU memory and is designed to handle agentic AI workloads as China pushes to develop Nvidia alternatives

HANGZHOU, CHINA - Media OutReach Newswire - 20 May 2025 - Alibaba today announced a comprehensive upgrade of its full AI stack—spanning cloud infrastructure and model services, AI…

Alibaba introduced a more powerful new training and inference chip, Zhenwu M890, and the latest version of its Qwen models.

At a company event, the tech giant released the Zhenwu M890 chip for model training and Qwen3.7-Max designed for advanced agent coding and complex logical reasoning

Alibaba launches Qwen3.7-Max, an AI model optimized for real-world agent tasks with 1,000+ tool calls per run and 10x faster inference speeds.

Reveals decent new homegrown accelerator and tiny production volumes