At Computex, Marvell argued that connectivity is becoming a key bottleneck for AI infrastructure as systems scale. NVIDIA CEO Jensen Huang appeared at the event and described Marvell as the next trillion-dollar company. The presentation highlighted Marvell's AI connectivity stack, reflecting growing industry attention on the links supporting large-scale AI systems.
When Lisa Su became AMD's CEO in 2014, the company was near bankruptcy with a $2 stock price. She turned it around through two critical bets: transitioning advanced manufacturing entirely to TSMC, and pioneering the modular "Chiplet" architecture. These strategic moves allowed AMD to leapfrog Intel in performance and efficiency, driving its market cap past $760 billion.
While next-generation EVs can achieve an 11-minute ultra-fast charge, Taiwan's infrastructure lags behind. The country faces critical gaps including a shortage of high-power DC fast chargers, the complex integration of CCS1 and CCS2 standards, and highly uneven urban-rural coverage. These bottlenecks prevent local drivers from fully utilizing advanced EV charging capabilities.
To bypass US semiconductor equipment sanctions, Huawei has introduced the "τ (Tau) scaling law." Instead of physical transistor shrinking, this approach focuses on reducing signal propagation delay via design-level innovations like logic folding. Huawei aims to achieve performance equivalent to a 1.4nm node by 2031, challenging TSMC's lithography-centric dominance.
TechCrunch reviewed Amazon's new "Bee" AI wearable, highlighting its potential for seamless ambient computing. While the device offers impressive convenience by constantly listening and assisting, it also triggers significant privacy concerns. Like previous AI pins and pendants, Bee forces users to balance the benefits of an always-on assistant against the anxiety of constant surveillance.