Skip to main content

Intel Transforms into Digital Lifestyle Champ

New York Times tells the story of a strategic transformation -- Intel, the world's biggest chip maker, is breaking away from its longstanding love affair with pure computing power to remake itself as a consumer-friendly brand that will seek to dominate the digital home.

Intel's strategy, based on a new generation of multimedia platforms and chips, will be unveiled next week at the Consumer Electronics Show in Las Vegas. For consumers, the technology shift will mean laptop computers with longer battery life and computers that will become digital entertainment hubs in the living room.

When Paul S. Otellini, Intel's chief executive, takes the stage at the show Thursday, he is expected to present a new Intel focused on selling a digital lifestyle rather than hardware.

Instead of bits and bytes, Mr. Otellini, the first nonengineer to run Intel, is expected to spend much of his time talking about cool new music and video features that will be made possible by the new home entertainment platform, called Viiv, and Core, a low-powered chip that will eclipse the Pentium M chip for portable computers.

Popular posts from this blog

AI Agents Have Memory. Where is The Security?

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...