December 26, 2024 - 12:03

TSMC’s 2nm technology is not expected to be adopted by Apple’s iPhones before 2026 due to an incredibly low monthly production wafer count. This delay comes as Apple continues to evaluate its supply chain and production capabilities. The anticipated rollout of this advanced technology was initially expected to enhance the performance and efficiency of future iPhone models. However, the current production limitations have prompted Apple to reconsider its timeline.
Industry experts suggest that TSMC is working diligently to ramp up its manufacturing capacity, with projections indicating that wafer capacity could increase by as much as eight times by 2026. This increase could potentially allow Apple to incorporate the cutting-edge technology into its devices, offering significant improvements in processing power and energy efficiency. Until then, Apple will likely continue utilizing existing chip technologies to meet consumer demands and maintain its competitive edge in the smartphone market.
October 16, 2026 - 03:28
Russian national extradited to US over alleged scheme to smuggle military-use technology to RussiaA Russian citizen has been handed over to American authorities from Sweden to answer federal charges in an alleged international procurement network that funneled sensitive electronic components to...
October 15, 2026 - 20:09
CDW Canada Recognized by Dell Technologies with Partner Excellence Award for Fifth Straight YearCDW Canada has received the Canadian Partner Excellence Award from Dell Technologies for the fifth year in a row. The recognition highlights the company`s consistent performance in delivering...
October 15, 2026 - 03:16
Tampa General Adopts New Device to Assess Donor Lungs Before TransplantDoctors at Tampa General Hospital are utilizing a device called the XVIVO Lung Perfusion Machine to evaluate donor lungs prior to transplant surgery. The technology allows medical teams to test how...
October 14, 2026 - 11:00
NVIDIA’s PTFE Strategy: The Hidden Technology Behind Next-Generation AI RacksThe race to build faster AI systems has long centered on chips. GPUs, high-bandwidth memory, advanced packaging and software stacks have absorbed most of the attention. But as AI moves from single...