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Chronicles

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Power Plays: How power consumption will shape the future of computing

A day at Intel  —  At the Research@Intel day last week, Intel had a huge array of technologies and active research initiatives on display for press and analysts.  As I toured the company's Santa Clara offices …

Ars Technica Jon Stokes

Context & Ripple Effects

The Research@Intel showcase lands five months after Intel told the New York Times that chips will run faster while using less power, and the June event turns that slogan into a portfolio: a wide array of active research projects all organized around what power consumption does to computing. The through-line runs through everything else Intel shipped in June — compiler updates for exploiting thread- and data-level parallelism in multicore parts, a slim Mobile Metro laptop concept demoed at IDF, and chipset launches under Sean Maloney at Computex.

First-order effects

  • Software developers are the immediate audience: Intel's updated C++ and Fortran compilers push programmers to write for multicore parallelism, because performance gains now come from threading rather than clock speed.
  • PC makers and IT buyers get a new purchasing frame — Intel's joint effort with Google and Dell targets $5.5 billion in annual energy savings and 54 million tons of avoided emissions, making efficiency a stated procurement criterion for the first time at this scale.

Second-order effects

  • Dell and Google's participation forces other large fleet operators to weigh energy budgets alongside sticker price, since the initiative's savings math only holds if efficiency becomes a competitive differentiator among vendors.
  • The joint low-cost notebook development with Asus shows the same constraint driving product form: cutting power draw is what makes a cheap, small machine viable, pulling Intel's research agenda into emerging markets rather than just the data center.

Third-order effects

  • If the pattern holds, chip roadmaps get judged on performance-per-watt rather than peak frequency — a structural inversion of the 1990s megahertz race that reorders how Intel, its rivals, and its customers define progress.
  • Efficiency metrics migrating from marketing into procurement and policy frameworks points toward an industry where energy cost sits beside silicon cost in every compute purchase decision.

The trend: Computing's defining constraint is shifting from transistor speed to power consumption, with Intel positioning its research, software tools, and partnerships around that inversion.