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Nvidia reaffirms its AI technology dominance with new GPUs.

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Nvidia reaffirms its AI technology dominance with new GPUs.

At the company’s GPU Technology Conference in San Jose, California this week, Nvidia CEO Jensen Huang presented new technology that outperforms Nvidia’s already top-of-the-pack AI chips to a crowd of more than 10,000. The centerpiece of Huang’s keynote address was the introduction of Nvidia’s Blackwell platform, which includes the most powerful chips ever created. Forbes contributor Marco Chiappetta runs down some of the specifics.

A single Blackwell GPU will offer about 20 petaflops of AI performance—or 20 quadrillion operations per second. This breaks down to four times the training performance and 30 times the inference performance of Nvidia’s Hopper GPU, which is the top of the line product now. The Blackwell GPU also has about 25 times better energy efficiency. Nvidia also is combining these chips with hardware and other top-of-the-line infrastructure technologies to make them even more powerful.

Nvidia already has commitments from Amazon Web Services, Dell Technologies, Google, Meta, Microsoft, OpenAI, Oracle, Tesla and xAI to use the new Blackwell GPUs, meaning Nvidia will literally be facilitating the next chapter of AI development. “Generative AI is the defining technology of our time,” Huang said in a release announcing the new platform. “Blackwell is the engine to power this new industrial revolution.”

Forbes contributor R. Scott Raynovich explained Huang and Nvidia’s mission this way: He’s “got one of the industry’s biggest brains—which he uses to create even bigger brains.” And Huang has his sights set beyond just making the processing tools necessary to run generative AI. He wants Nvidia to build systems and software to bring AI to manufacturing automation, networking, self-driving cars and telecommunication. Huang also said he sees generative AI as a means for anyone to write complex code. Coding may be a skill learned by specialists in the future, but Forbes contributor Tim Bajarin reports Huang said knowledge of a language like C++ may not be necessary for a successful career using AI.

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“You just have to be a prompt engineer. And who can’t be a prompt engineer?” Huang said. “When my wife talks to me, she’s prompt engineering me. We all need to learn how to prompt AIs, but that’s no different than learning how to prompt teammates.”

The road to more AI advancement is being paved. The questions remaining are how the companies using Nvidia’s infrastructure will utilize the technology.

The CIO’s job has evolved a lot over the last several years, and it’s no longer the CIO’s sole purview to choose all of the software platforms companies use. Some of those decisions are now more on department levels, but the CIO still has an important role to play in monitoring what a company is using and how secure its systems are. I talked to Touring Capital General Partner Priya Saiprasad about the shift. An excerpt from our conversation is later in this newsletter.

Source : Forbes

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