Intel Generated $1 Billion In Revenue From Artificial Intelligence Chips In 2017

naveen shenoy intel
naveen shenoy intel
File photo of Navin Shenoy, executive vice president and general manager of the Data Center Group at Intel Corporation.

Sharing their vision at the recently-concluded Data-Centric Innovation Summit, Intel announced that they had made sold $1 billion of artificial intelligence processor chips last year.

Intel’s Xeon processor, whose first ancestor was launched 20 years ago. Now, the tech giant announced that more than $1 billion in revenue came from customers running artificial intelligence on Intel Xeon processors in the data centre.

“Our investments in optimising Intel Xeon processors and Intel FPGAs for AI are paying off… In total, since 2014, our performance has improved well over 200 times,” said Navin Shenoy, executive vice president and general manager of the Data Center Group at Intel Corporation.

AIM Daily XO

Join our editors every weekday evening as they steer you through the most significant news of the day, introduce you to fresh perspectives, and provide unexpected moments of joy
Your newsletter subscriptions are subject to AIM Privacy Policy and Terms and Conditions.

Naveen Rao, head of Intel’s artificial intelligence products group told Reuters that the revenue generated from the AI chips could definitely be on a higher side since they had given out only modest estimates.

Shenoy added that the company has shipped more than 2 million units in 2018’s second quarter. In fact, in the first four weeks of the third quarter, Intel has already shipped another 1 million units.

Download our Mobile App

“We’ve entered a new era of data-centric computing. The proliferation of the cloud beyond hyperscale and into the network and out to the edge, the impending transition to 5G, and the growth of AI and analytics have driven a profound shift in the market, creating massive amounts of largely untapped data. And when you add the growth in processing power, breakthroughs in connectivity, storage, memory and algorithms, we end up with a completely new way of thinking about infrastructure. I’m excited about the huge and fast data-centric opportunity ($200 billion by 2022) that we see ahead,” added Shenoy.

Sign up for The Deep Learning Podcast

by Vijayalakshmi Anandan

The Deep Learning Curve is a technology-based podcast hosted by Vijayalakshmi Anandan - Video Presenter and Podcaster at Analytics India Magazine. This podcast is the narrator's journey of curiosity and discovery in the world of technology.

Prajakta Hebbar
Prajakta is a Writer/Editor/Social Media diva. Lover of all that is 'quaint', her favourite things include dogs, Starbucks, butter popcorn, Jane Austen novels and neo-noir films. She has previously worked for HuffPost, CNN IBN, The Indian Express and Bose.

Our Upcoming Events

24th Mar, 2023 | Webinar
Women-in-Tech: Are you ready for the Techade

27-28th Apr, 2023 I Bangalore
Data Engineering Summit (DES) 2023

23 Jun, 2023 | Bangalore
MachineCon India 2023 [AI100 Awards]

21 Jul, 2023 | New York
MachineCon USA 2023 [AI100 Awards]

3 Ways to Join our Community

Telegram group

Discover special offers, top stories, upcoming events, and more.

Discord Server

Stay Connected with a larger ecosystem of data science and ML Professionals

Subscribe to our Daily newsletter

Get our daily awesome stories & videos in your inbox

Council Post: From Promise to Peril: The Pros and Cons of Generative AI

Most people associate ‘Generative AI’ with some type of end-of-the-world scenario. In actuality, generative AI exists to facilitate your work rather than to replace it. Its applications are showing up more frequently in daily life. There is probably a method to incorporate generative AI into your work, regardless of whether you operate as a marketer, programmer, designer, or business owner.