Skip to Content
Artificial intelligence

Why Facebook wants to design its own AI chips

April 19, 2018

By following the lead of Google and Apple, the company could build processors that speed up its many AI algorithms or even power new hardware products.

The news: Bloomberg reports that Facebook is hoping to hire someone to build out an “end-to-end" chip development organization at the firm. The job listing specifically mentions application-specific integrated circuits (ASICS), which are built to perform very particular tasks, such as facial recognition, as efficiently as possible. It also mentions system-on-a-chip (SoC) hardware, which is often used in mobile products or small devices—the likes of which Facebook could put inside its Oculus VR headset or a (currently delayed) smart speaker. 

Why it matters: Chips are a multibillion-dollar business, and cutting out a middleman, like Intel, helps save a lot of money. Plus, as Moore’s Law grinds to a halt, it’s getting harder and harder to find speed gains in general-purpose chips—so designing new ones for very specific, in-house tasks helps firms boost performance. Facebook will hope it can cut costs and make speed improvements.

Joining the ranks: More and more tech companies are manufacturing chips, threatening the business of companies like Qualcomm, Intel, and Nvidia. Google is building AI chips to power its data centers and open-source software. Apple keeps developing new chips to run its mobile products. And Microsoft just announced its latest chip, built for IoT products.

Deep Dive

Artificial intelligence

DeepMind’s cofounder: Generative AI is just a phase. What’s next is interactive AI.

“This is a profound moment in the history of technology,” says Mustafa Suleyman.

AI hype is built on high test scores. Those tests are flawed.

With hopes and fears about the technology running wild, it's time to agree on what it can and can't do.

You need to talk to your kid about AI. Here are 6 things you should say.

As children start back at school this week, it’s not just ChatGPT you need to be thinking about.

AI language models are rife with different political biases

New research explains you’ll get more right- or left-wing answers, depending on which AI model you ask.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

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

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.