145,868 Industry Professionals Attend 2005 CES, Setting New Show Record -- With more than 22,000 international attendees and 40,000 senior level executives from 110 countries, the 2005 International Consumer Electronics Show (CES) drew a record 145,868 industry professionals, January 6-9, 2005, in Las Vegas, Nevada. The 2005 International CES was the largest in the show's 39-year history in terms of overall attendance, international attendance and exhibitor square footage. The record-breaking attendance for 2005 showed a nine percent increase from 2004, while attracting 51 percent of Fortune 500 companies. This year 2,500 exhibitors participated utilizing 1.5 million square feet of exhibit space. Leading global companies in the audio, accessories, broadcasting, cable, digital imaging, electronic gaming, emerging technology, home networking, home theater, mobile electronics, video and wireless industries attend the International CES. With more than 1.4 million square feet of exhibit space already sold, the 2006 International CES will be held Thursday, January 5 through Sunday, January 8, in Las Vegas, Nevada.
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...