The project sits within a wider push toward what policymakers and researchers describe as sovereign AI—AI systems developed, trained, and deployed locally.
This model prioritizes:
Hong Kong’s AI ecosystem is also designed to handle trilingual usage—Cantonese, Mandarin, and English—reflecting the city’s linguistic environment and regional business role.
The new chip‑compatible model builds on earlier work from the same research center.
In 2025, the Hong Kong government confirmed that HKGAI V1, the city’s first homegrown large language model, was developed through full‑parameter fine‑tuning of DeepSeek models combined with continued training on local datasets.
That system represented a major step toward building a domestic AI platform capable of serving public agencies and businesses within the region.
Adapting AI models to run on domestic chips has become a strategic priority across China’s technology sector.
Recent DeepSeek releases have already been optimized for a mix of hardware platforms, including domestic processors, signaling a broader industry move away from exclusive reliance on Nvidia GPUs.
This shift has ripple effects across the semiconductor market. When DeepSeek announced newer models designed with greater compatibility for Chinese hardware, semiconductor stocks in China and Hong Kong rose on expectations of increased demand for locally produced chips.
If the HKGAI‑V3 system launches as planned, Hong Kong could position itself as a regional hub for deployable AI models built on domestic infrastructure.
Such systems could be used across government services, local enterprises, and international markets looking for alternatives to Western AI stacks. The strategy also aligns with broader regional trends toward building AI systems that can operate independently of foreign computing platforms.
While many technical details of the upcoming model remain limited, the direction is clear: Hong Kong is moving toward an AI stack that combines DeepSeek software architecture with China‑developed hardware, aiming to strengthen technological autonomy while expanding its role in the global AI ecosystem.
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