Zheng believes that an ideal software ecosystem for AI chips should allow AI CUDA software originally written for Nvidia to be easily ported to domestic systems with similar methodologies. Achieving 60% of the performance of foreign chips with a well-developed software ecosystem would satisfy customers. The ecosystem should also focus on robust system design and software optimization across ten areas, including programming frameworks, parallel acceleration, communication libraries, and more.