China’s AI chip industry is often discussed through GPUs and neural-processing units. Zhonghao Xinying offers another route: a processor designed around tensor computation, supported by its own instruction set and computing platform.
For years, chip conversations revolved around transistor nodes and wafer fabs. Today, the more interesting battles are often happening a few millimeters above the silicon, in the world of advanced packaging. As AI, high‑performance computing, and high‑bandwidth memory redefine what a “chip” looks like, three names stand out in the packaging race: TSMC, Intel, and ASE. Each comes from a different starting point, with different strengths and weaknesses, and together they’re reshaping how heterogeneous integration will be done for the next decade.