China’s investment in Gen-AI is set to skyrocket with an estimated 86% CAGR over the next five years. This growth is fueled by a focus on technological self-sufficiency, particularly in AI chip development, dataset localization, customized applications, and contributions to open-source AI communities. Chinese labs have made significant contributions to the AI landscape, with strong performance in areas such as leaderboard rankings, multimodal large language models, and on-device models.
China’s foundational models, such as Qwen 2.5-72B-instruct and GLM-4-plus, have shown impressive improvements in instruction-following and data understanding. Tencent’s Hunyuan-Large model stands out as the largest open-source transformer-based model, excelling in language understanding and logical reasoning. Open-source models like DeepSeek-V2 and on-device models like GLM-4-9B-Chat and MiniCPM-2B are also making waves in Chinese-language tasks and applications.
The focus on edge computing is crucial for faster response times, data privacy, and personalized user experiences. Despite challenges in balancing computational constraints and energy limitations, GPUs offer the performance needed to bring Gen-AI applications to the edge. China’s rapid progress in developing and deploying foundational models at the edge showcases its innovation and localization efforts.
Zack Zheng, Imagination’s director of product management in China, highlights China’s advancements in foundational models and edge deployment. With a strong focus on localization and customization, consumers can expect more powerful AI capabilities in their devices in the near future. For more information on Imagination’s solutions for Generative AI, visit their AI pages.
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