Intel's family of processors, or perhaps compatible rival AMD chips, shouldered most of the computing work.
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Not so many years ago, Nvidia was just a component supplier, a designer of graphics chips called GPUs to boost PC performance. Your laptop likely comes with an Intel chip, but an Nvidia chip was more likely responsible for important AI work like filtering spam, improving image quality or recognizing your voice when you call your bank. Even decades of dominance in technology don't guarantee success when the rules of computing are constantly being rewritten. The design illustrates Nvidia's dramatic ascent - and Intel's struggles. The new chip should let AI customers run computing tasks that are vastly more complex than is possible with today's chip designs, a step toward the general artificial intelligence that is the holy grail of today's machine learning research, said Cambrian AI Researach analyst Karl Freund in a blog post. The chip news arrived at Nvidia's GTC 2021 conference this week.
With Grace, named after pioneering programmer Grace Hopper, the company opted to embed several Arm Neoverse processor cores within the chip to speed up processing, said Paresh Kharya, an Nvidia senior director.
Nvidia chips do the grunt work, but Intel chips oversee it. Nvidia's current brainiest chip, the A100, is typically yoked to Intel Xeon processors. Instead of accelerating conventional Intel-powered servers, though, the design includes its own built-in Arm processors. Nvidia has a new chip in the works for boosting artificial intelligence and other high-performance computing work: Grace, a design slated to arrive in mammoth supercomputers in 2023.