Headline : Nvidia Raises Ante in AI Chip Game With New Blackwell Architecture

Read more from the original article on here at www.technewsworld.com.

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Nvidia is pumping up the power in its line of artificial intelligence chips with the announcement Monday of its Blackwell GPU architecture at its first in-person GPU Technology Conference (GTC) in five years.

According to Nvidia, the chip, designed for use in large data centers — the kind that power the likes of AWS, Azure, and Google — offers 20 PetaFLOPS of AI performance which is 4x faster on AI-training workloads, 30x faster on AI-inferencing workloads and up to 25x more power efficient than its predecessor.

Compared to its predecessor, the H100 “Hopper,” the B200 Blackwell is both more powerful and energy efficient, Nvidia maintained. To train an AI model the size of GPT-4, for example, would take 8,000 H100 chips and 15 megawatts of power. That same task would take only 2,000 B200 chips and four megawatts of power.

“This is the company’s first big advance in chip design since the debut of the Hopper architecture two years ago,” Bob O’Donnell, founder and chief analyst of Technalysis Research, wrote in his weekly LinkedIn newsletter.

Read more from the original article on here at www.technewsworld.com.

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