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Posts Tagged 'xPU utilization'

  • December 16, 2025

    Custom Silicon: A Sea Change for Semiconductors

    By Sandeep Bharathi, president, Data Center Group, ³Ô¹ÏºÚÁÏ

    This blog was originally posted at .

    Semiconductors have transformed virtually every aspect of our lives. Now, the semiconductor industry is on the verge of a profound transformation itself.

    Customized silicon¡ªchips uniquely tailored to meet the performance and power requirements of an individual customer for a particular use case¡ªwill increasingly become pervasive as data center operators and AI developers seek to harness the power of AI. Expanded educational opportunities, better decision making, ways to all become possible if we get the computational infrastructure right.

    The turn to custom, in fact, is already underway. The number of GPUs¡ªthe merchant chips employed for AI training and inference¡ªproduced today is nearly double the number of custom XPUs built for the same tasks. By 2028, custom accelerators will likely pass GPUs in units shipped, with the gap expected to grow.1?

    Custom AI accelerators are expected to pass GPUs in unit shipments

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  • February 14, 2023

    The Three Things Next-Generation Data Centers Need from Networking

    By Amit Sanyal, Senior Director, Product Marketing, ³Ô¹ÏºÚÁÏ

    Data centers are arguably the most important buildings in the world. Virtually everything we do¡ªfrom ordinary business transactions to keeping in touch with relatives and friends¡ªis accomplished, or at least assisted, by racks of equipment in large, low-slung facilities.

    And whether they know it or not, your family and friends are causing data center operators to spend more money. But it¡¯s for a good cause: it allows your family and friends (and you) to continue their voracious consumption, purchasing and sharing of every kind of content¡ªvia the cloud.

    Of course, it¡¯s not only the personal habits of your family and friends that are causing operators to spend. The enterprise is equally responsible. They¡¯re collecting data like never before, storing it in data lakes and applying analytics and machine learning tools¡ªboth to improve user experience, via recommendations, for example, and to process and analyze that data for economic gain. This is on top of the relentless, expanding adoption of cloud services.

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