China's Residential Subscriber Base Will Triple by 2010 -- "Driven by explosive growth in China, the number of homes using broadband Internet services in the Asia-Pacific region will grow from 61 million today to 176 million by 2010, according to a new Strategy Analytics forecast, Residential Broadband Internet Service in the Asia-Pacific Region: Market Outlook & Analysis. The firm predicts that although China trails other Asian markets in broadband adoption today, the immense size of the Chinese consumer market will make it a key driver for broadband growth in the region. By 2010, the Chinese market will account for 64 percent of all residential broadband users in the region, up from less than 40 percent today. The Asia-Pacific region also includes countries that already lead the world in broadband adoption. 77 percent of homes in South Korea use broadband today, while Taiwan, Hong Kong and Singapore all boast penetration rates of 50 percent or more. In these mature markets, service providers will need to use a combination of higher access speeds, lower prices and rich media content to sustain growth over the next five years."
Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...