"A report issued last week by Magna Global predicts that if network DVRs become a reality, DVR usage could skyrocket. Unlike set-top DVRs, which are already offered by several cable operators, a network DVR records virtually all programming on a central server in the cable system�s headend. Theoretically, anybody who subscribes to digital cable could record whatever they wanted, without having to schedule an appointment with the cable guy or install a TiVo box."
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...