Intel Corp., the undisputed king of computer chip making, has tapped the broad shoulders of a few heavyweights in its bid to take its wireless broadband dreams to various cities around the globe. According to one report, Intel has started a Digital Communities initiative that involves rolling out wireless broadband technology in thirteen communities in a way to make high-speed Internet access more accessible to more people. The effort, said Intel, includes help from companies such as IBM Corp., SAP AG and Dell Inc. And the plan also involves equipping governments with tools to enable mobile workers such as meter readers to more efficiently do their jobs. Philadelphia, one of the participating communities, has already announced plans to deploy Wi-Fi technology across a 135-sq-mile area, an effort to increase accessibility to high-speed Internet access. San Francisco has also committed to deploying Wi-Fi technology. A Yankee Group analyst quoted in one report noted that municipalities are very much interested in rolling out wireless broadband technology in an effort to lessen the so-called digital divide.
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...