Intel sold artificial intelligence processor chips worth $1 billion in 2017
As PC sales have stagnated, Intel has increasingly been depending on its sales to data centers.


Representational image.[/caption]At an event for Wall Street analysts at Intel’s Santa Clara, California headquarters to explain its strategy, Navin Shenoy, its data center chief, said the company has been able to modify its CPUs to become more than 200 times better at artificial intelligence training over the past several years. This resulted in $1 billion in sales of its Xeon processors for such work in 2017, when the company’s overall revenue was $62.8 billion.“The step-function increase in performance led to a meaningful business impact for us,” Shenoy told the audience.Naveen Rao, head of Intel’s artificial intelligence products group, said the $1 billion estimate was derived from customers that told Intel they were buying chips for artificial intelligence and from calculations of how much of a customer’s data center is dedicated to such work.“Honestly, it’s probably a lot higher. We left a lot on the table because we wanted to be conservative,” Rao told Reuters in an interview.The new number is important because Intel’s stock dropped last month after it delivered earnings that fell short of Wall Street’s expectations for its data center business. Intel also said then its newest generation chips would be delayed until 2020, leading analysts to worry it will lose data center share to Advanced Micro Devices Inc.“Intel must be very confident in its (artificial intelligence) roadmap and future performance given it committed to a revenue number, as analysts will ask them every quarter about it,” said analyst and former chip executive Patrick Moorhead of Moor Insights & Strategy. He said the $1 billion figure was conservative because it only included CPUs and not its other product lines, he said.Intel stock was up 22 cents at $49.92.

Why AI notetakers are raising serious privacy and security concerns
China's low-cost AI models are changing the global AI race. Here's why Silicon Valley is worried
China's Kimi K3 challenges US AI leaders with frontier-level performance at lower cost
How did Instagram run ads promoting child abuse in India?
Why has India halted WhatsApp’s username feature before launch?
