Heterogeneous Computing Key for Future AI Infrastructure

At the AIGC2026 conference, Hong Yuan, Chief Product Officer of Taichu Yuanqi, laid out a stark reality for domestic AI computing: as the Token economy accelerates, the industry must confront three critical bottlenecks—large-scale cluster service capability, computing efficiency, and ecosystem maturity. With Token demand projected to surge 212-fold by 2030, Yuan argued that heterogeneous computing, not raw performance, will define the next generation of AI infrastructure.

Token Explosion Drives Shift from Content to Task Generation

The expected 212x growth in Token demand by 2030 underscores a broader transformation in AI workloads: the technology is moving beyond simple content generation into complex task generation. This shift demands efficient collaboration between CPU, GPU, and other computing units, making system-level synergy a core requirement rather than an afterthought.

Full-Stack Ecosystem Support Essential for Migration

Hong emphasized that computing vendors must provide complete full-stack ecosystem support to lower migration barriers for developers and enterprises. Simply offering high-performance hardware is no longer sufficient; usability and interoperability across heterogeneous chips and programming frameworks are becoming decisive factors in adoption.

Taichu Yuanqi Builds 'Oxygen Generator' for AI Infrastructure

Taichu Yuanqi is positioning itself as an "oxygen generator" for AI through a three-pronged strategy: heterogeneous chip design, proprietary programming frameworks, and extensive ecosystem adaptation. This approach prioritizes systematic synergy over raw specs, addressing the core challenge of making domestic AI computing both powerful and accessible in an era of exploding Token demand.