By SEMIVISION
Publication Date: 2026-10-23 02:19:00
How NVIDIA’s GTC Berlin announcements reveal a fundamental shift in AI infrastructure bottlenecks, from GPU production to advanced packaging, silicon photonics, and deployment speed.
At GTC Berlin 2026, NVIDIA delivered one of its most significant supply chain announcements of the year.
Rather than focusing exclusively on GPU performance, NVIDIA outlined an aggressive expansion across multiple semiconductor manufacturing segments: package substrates, advanced packaging, semiconductor testing, and silicon photonics.
The numbers are extraordinary.
NVIDIA plans to increase substrate capacity by 2.5 times over the next three years. Amkor is targeting more than 300% growth in interposer wafer capacity by the end of 2028. Meanwhile, Siliconware Precision Industries (SPIL) aims to expand optical-engine manufacturing capacity by 15 times by mid-2027, followed by another doubling by the end of 2028.
NVIDIA is also providing $1.1 billion in capacity reservation financing to King Yuan Electronics (KYEC) to support semiconductor testing expansion in the United States.
These announcements reveal an important transition in the AI infrastructure industry.
The biggest challenge is no longer simply designing faster AI chips. It is building an entire industrial ecosystem capable of manufacturing, testing, packaging, connecting, and deploying those chips at unprecedented scale.
For semiconductor investors and supply chain participants, the implications extend far beyond NVIDIA itself.
