Will Sam Altman’s global artificial intelligence (AI) expansion plan really cost $7 trillion?
Nvidia CEO Jensen Huang has his doubts.
At the World Government Summit in Dubai on Monday, February 12, the head of the planet’s most valuable chipmaker said that advances in computing will make the price of developing artificial intelligence significantly lower. .
“You can’t just assume that you’re going to buy more computers. You also have to assume that because computers are going to get faster, the total amount you need isn’t going to be that large,” Huang said, whose comments were reported by Bloomberg News. .
He said he is confident the chip industry will bring down the cost of AI because its components are becoming “increasingly faster.”
Huang’s comments came in response to a recent Wall Street Journal report that Altman, CEO of ChatGPT maker OpenAI, is embarking on a fundraising effort to expand the use of AI around the world. This is what was put out.
The report said Altman’s plan to alleviate the shortage of AI chips used to train large-scale language models (LLMs) could mean raising $5 trillion to $7 trillion. Citing information from a source.
But rather than enter into a chip arms race with more established companies, Huang’s view is that better, more cost-effective chips will make Altman’s hugely ambitious investment plans unnecessary. It seemed to indicate.
However, the CEO does not expect AI spending to decline, predicting that the global cost of AI-enabled data centers will double over the next five years.
“We are now at the beginning of a new era,” Huang said. “We have an installed base of data centers worth about $1 trillion. Over the next four to five years, $2 trillion worth of data centers will be built to power the world’s software.”
Elsewhere in the AI space, PYMNTS on Monday examined the use of the technology in the healthcare sector.
Artisight, one of the companies focused on using AI to improve healthcare, uses technology to remove friction from the patient-caregiver relationship and create what the company calls “smart hospitals.” The focus is on building.
“When I think about smart hospitals, I think about how the infrastructure of the hospital itself is helping advance patient care,” Stephanie Lahr, president of Artisight, told PYMNTS. “That can be seen in doing things faster, doing things more efficiently, or just providing high-quality data points to make decisions. That happens with sensors. A smart hospital is actually an IoT sensor network platform within a hospital that collects and ingests large amounts of data.”
