Zhenwu Chip Super Node: Engineering Limits and Theoretical Concerns for 2.4T Parameter Inference

Here is the core judgment straight up: Alibaba Cloud's Zhenwu M890 supernode has successfully run Qwen3.8 (2.4 trillion parameters) and launched on Bailian. This isn't just the first inference service for a model with over 2 trillion parameters in China; it signifies an engineering leap for LLMs from 'trainable' to 'usable.' However, the underlying issues regarding inference efficiency, theoretical alignment, and downstream task adaptation might be more worth researchers' attention than the news of parameter growth itself.