Qualcomm CEO on Data Center Chips, Adding Meta as a Customer

The article evaluates Nvidia's H100 and GB200 NVL72 training performance, comparing compute throughput, power draw, total cost of ownership, and operational reliability. It focuses on how Blackwell-based GB200 NVL72 systems perform against H100 clusters as AI model training scales, including effects from software maturity, interconnect efficiency, and datacenter power constraints. The analysis suggests that raw accelerator performance is only part of deployment economics: electricity, cooling, s

The article explains the factors behind Micron Technology's growing ability to command stronger prices for memory products tied to AI demand. It links this pricing power to tighter supply conditions, higher content per AI server, and competition among cloud and accelerator customers for advanced memory capacity. The piece suggests that Micron's role in supplying AI data-center memory may give investors a clearer view of potential margin expansion, even as memory markets remain cyclical. It also

The article reviews Apple's recent and upcoming price increases across several product lines, including MacBooks, iPads, Macs, home-related devices or services, and Vision Pro hardware. Rather than presenting a single broad hike, it frames the moves as a set of targeted adjustments tied to specific models and offerings. The increases are significant because Apple's pricing sets benchmarks for premium consumer hardware and can influence upgrade timing, accessory demand, and competitive positionin

The article argues that consumers and hardware makers face a difficult period for buying or building computers as memory and related component prices rise. The pressure is linked to strong demand from AI infrastructure, which is diverting advanced DRAM and packaging capacity toward data-center chips, while PC, laptop and gaming-device makers compete for remaining supply. Apple, Microsoft and Valve are cited as examples of companies whose products depend on these components, meaning higher input

Apple is reportedly planning to bypass a high-end M6 Mac processor generation and instead prioritize an AI-focused M7 chip lineup, including M7 Pro, M7 Max and M7 Ultra variants. The shift suggests Apple may be concentrating its Mac silicon roadmap around machine-learning performance, on-device AI capabilities and higher-end workstation-class processors rather than releasing a separate premium M6 tier. If accurate, the move would reinforce Apple's strategy of using custom silicon to differentiat