![]() ![]() A recent Bloomberg Businessweek profile of Nvidia compared these chips to buying groceries by using dozens of people armed with handbaskets, each on a mission to find a specific item, like fruit or cereal, whereas the central processing units, or CPUs, that have historically dominated data-centre infrastructure are more akin to using a single shopping cart that roams the aisles. GPU-powerhouse Nvidia Corp has predicted that $1 trillion of data-centre infrastructure will need to be upgraded to handle accelerated computing that supports generative AI tools such as ChatGPT. Pioneered by the US, AI works best with graphics processing units, or GPUs, which are capable of processing huge streams of data in parallel. That might be about to change for a certain corner of the industrial world, not thanks to a fancy slide-deck promising skyrocketing software sales but a simple truth: Artificial intelligence (AI) can't exist without electrical equipment and air conditioners. ![]() ![]() ![]() Many legacy manufacturers worldwide have been trying to rebrand themselves as technology companies for more than two decades, but try as they might, even their own investors still tend to associate these companies more with hulking chunks of metal whose sales are dictated by the twists and turns of national economies. ![]()
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