On June 7, 2026, Hunan KunlunMeta Artificial Intelligence Application Software Co., Ltd. (KunlunMeta, or KunlunMeta AI) announced the successful completion of a strategic funding round, raising 50 million yuan. This funding initiative was exclusively spearheaded by Changsha Jingmei Integrated Circuit Design Co., Ltd., a fully-owned subsidiary of the A-share listed company Jingjia Micro. The pre-investment valuation for this round soared to 1 billion yuan. This funding round signifies a pivotal advancement for China's domestic AI computing power system, marking a shift from "isolated breakthroughs" to "comprehensive integration."

KunlunMeta AI positions itself as a "fundamental builder and ecosystem accelerator for the AGI (Artificial General Intelligence) era." The company's focus lies in three rapidly expanding sectors: private AI platforms tailored for government and enterprise use, full-modality foundational models, and AI-native computing power terminals. It has constructed a comprehensive product matrix characterized by "full-stack autonomy, seamless software-hardware integration, and open ecosystems." This matrix offers end-to-end, closed-loop products that encompass underlying computing power, core models, development tools, hardware carriers, and industry-specific solutions.

As a wholly-owned subsidiary of Jingjia Micro, specializing in GPU chip R&D and design, Jingmei Integrated Circuit stands as a trailblazer in successfully developing domestic GPU chips and achieving large-scale engineering applications within China. Its JM series products find widespread application in critical Innovation in Information Technology Applications (Xinchuang) fields, serving as a major provider of domestic high-performance GPU computing power.

The two entities have announced that, beyond equity investment, they will embark on a long-term collaborative journey in areas such as front-end chip design, underlying computing power adaptation, joint product definition, and open-source technology ecosystems. Together, they aim to drive the widespread adoption of an integrated solution that combines "domestic high-performance GPUs with full-stack autonomous AI infrastructure."