Global AI computing is rapidly moving beyond single-GPU systems toward AI Factory architectures, where agentic AI and inference workloads are pushing data centers to rely on networking, optics, packaging, cooling, power delivery and software co-design rather than raw accelerator counts. In a DIGITIMES interview, Nvidia Senior Vice President of Networking Gilad Shainer said the real unit of computing is now the entire data center, not an individual server.

When people talk about responding to supply chain shocks, the instinct is often to stockpile inventory or build backup production lines. However, after visiting Inner Mongolia Shuangjie Saidu Electric with a delegation in June 2026, I came away with a different understanding: true “supply chain resilience” is not created through last-minute crisis fixes. It is embedded in factory layout, product design, business diversification, and service models.

Nvidia is teaming up with six of the world’s largest investment and financial groups to mobilize more than US$500 billion in third-party capital for AI infrastructure, creating dedicated financing platforms designed to make large-scale computing capacity easier for customers to fund.

Beijing’s decision to sharply cut approval rates for Indian business travelers is exposing a structural weakness in India’s push to scale up electronics manufacturing: the country still cannot get enough Chinese equipment, components, and technical staff into its factories without China’s cooperation.