Nvidia CEO Jensen Huang’s upcoming visit to Taiwan is a pivotal moment for the entire AI industry.
The reason for this high-stakes meeting is simple: the nature of AI hardware is changing. Future AI systems, powered by chips like Nvidia’s Blackwell and the upcoming Rubin platforms, are incredibly complex. They demand more than just powerful silicon; they require a tightly integrated ecosystem. This includes CoWoS, an advanced chip packaging technology from TSMC, powerful rack-scale systems from integrators like Foxconn, and specialized liquid cooling and power solutions from companies like Delta Electronics. These components are no longer commodities but have become the primary bottlenecks in the supply chain.
This situation didn't happen overnight. It's the result of a series of events leading to this critical juncture. First, TSMC recently projected that demand for its advanced packaging capacity would grow by over 80% annually, signaling a persistent shortage. Second, Nvidia itself has been laying the groundwork, publishing reference designs for its NVL72 "AI Factory" systems that emphasize rack-scale integration and liquid cooling. Finally, key partners like Foxconn and Delta have already unveiled solutions tailored to these new designs. All these signals pointed to one conclusion: the old way of placing short-term purchase orders is no longer sustainable.
To solve this, Nvidia is orchestrating a fundamental shift from transactional orders to long-term, binding partnerships. The private banquet in Taipei is where these multi-year commitments will be solidified. Each company at the table plays an indispensable role. TSMC provides the cutting-edge chips and packaging, Foxconn assembles them into massive server racks, and Delta Electronics supplies the critical power and cooling infrastructure needed to run them. This is about creating a predictable, high-volume supply chain for the next generation of AI.
Ultimately, this visit is about securing Nvidia’s roadmap for years to come, extending through its Rubin Ultra (2027) and Feynman (2028) architectures. By locking in capacity for advanced 2-nanometer chips and next-generation packaging now, Nvidia aims to guarantee its leadership in the AI hardware race. The agreements made this week will determine who has access to the world’s most advanced computing power for the rest of the decade.
- CoWoS (Chip-on-Wafer-on-Substrate): An advanced chip packaging technology that stacks multiple chips together to improve performance and efficiency, essential for high-end AI accelerators.
- Rack-Scale Integration: The process of designing and building entire server racks as a single, optimized computing unit, rather than assembling individual components. This is crucial for large AI systems.
- Capex (Capital Expenditure): Money a company spends to buy, maintain, or improve its long-term assets, such as manufacturing plants and equipment. TSMC's high capex signals its commitment to expanding production capacity.