TSMC’s C.C. Wei says to solve problems, put customers first
Jensen Huang’s Galaxy Z Fold8 spotlights Nvidia-Samsung ties
Nvidia CEO Jensen Huang has again been photographed using Samsung Electronics’ latest foldable phone, the Galaxy Z Fold8, after being seen with a Galaxy Z Fold7 earlier in 2026. The latest sighting has drawn fresh attention to the close partnership between Samsung Electronics and Nvidia.
Charts: Memory chip designers carry Taiwan’s IC design rebound
Huawei aims to become ‘China’s Nvidia,’ rules out building satellites or spacecraft
Huawei’s internal Heart Voice Community recently published minutes from a discussion between Guo Ping, chairman of Huawei’s supervisory board, and newly hired employees, offering a glimpse into the company’s ambitions in AI, computing, semiconductors, and future technologies.
Analysis: Jensen Huang is in Trump’s ear; what it means for Taiwan’s chip supply chain
Infineon exits NOR Flash with US$1.12 billion sale to Winbond, reviving Spansion name
Samsung advances jump 70% amid shift to long-term memory deals
Samsung Electronics’ total advances received rose 70.4% in the first half of 2026, while memory suppliers and their largest customers increasingly turn to multi-year agreements to secure supply and improve demand visibility.
Taiwan, South Korea should stop comparing, says DIGITIMES chairman
As global AI investment continues to expand and US-China geopolitical pressure intensifies, how Taiwan and South Korea can preserve their semiconductor and manufacturing advantages has become a focal point. DIGITIMES and IC975 chairman Colley Hwang said the two sides should look for complementary strengths, work together to help Vietnam, Malaysia, and other countries develop, and first increase corporate exchanges to build a positive environment for cooperation.
DIGITIMES Insight: Google outlines AI compute expansion, speeds TPU cycle to 6 months
DIGITIMES Intelligence said Google used SEMICON Taiwan 2026 to outline the direction of its AI infrastructure strategy, focusing not only on next-generation TPU products but also on how rising AI compute demand is accelerating TPU iteration and deployment.