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The IBM Research AI Hardware Center: An Update

The IBM Research AI Hardware Center: An Update

The IBM Research AI Hardware Center: An Update



The IBM Research AI Hardware Center is the nexus of a group of academic and industry leaders contributing to the next wave of AI technologies. The Center's mission is to develop technologies that will deliver 2.5 times annual improvement in AI hardware compute efficiency, attaining a 1000-fold improvement, one of the key components for enabling what IBM terms “Fluid Intelligence”. Recently celebrating the Center’s second anniversary, IBM is tracking to that pace or better, and has nearly tripled the Center’s membership roster of companies and institutions from six to sixteen. See a more detailed analysis here.

In the Center’s first year, IBM announced reduced and variable precision for training and inference processing of deep neural networks. Using lower precision significantly reduces cost and increases performance, both improving as the square of the reduction. For inference processing, IBM demonstrated 2-bit inference with comparable accuracy, realizing a sixteen-fold improvement in processing efficiency. Next on the road ahead, IBM will delve into the world of analog computation, which could yield high performance and low power.

IBM Research also announced its third-generation digital AI core, unveiled at the ISSCC 2021 conference. The new 4-core design increases the performance efficiency for training and inference by sixfold, significantly once again outpacing the goal of 2.5X annual improvements.

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