• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • Articles
  • News
  • Events
  • Advertize
  • Jobs
  • Courses
  • Contact
  • (0)
  • LoginRegister
    • Facebook
    • LinkedIn
    • RSS
      Articles
      News
      Events
      Job Posts
    • Twitter
Datafloq

Datafloq

Data and Technology Insights

  • Categories
    • Big Data
    • Blockchain
    • Cloud
    • Internet Of Things
    • Metaverse
    • Robotics
    • Cybersecurity
    • Startups
    • Strategy
    • Technical
  • Big Data
  • Blockchain
  • Cloud
  • Metaverse
  • Internet Of Things
  • Robotics
  • Cybersecurity
  • Startups
  • Strategy
  • Technical

Cerebras Systems connects its huge chips to make AI more power-efficient

Reuters / 1 min read.
August 25, 2021
floq.to/NUWK2

By Stephen Nellis

(Reuters) – Cerebras Systems, the Silicon Valley startup making the world’s largest computer chip, said on Tuesday it can now weave together almost 200 of the chips to drastically reduce the power consumed by artificial-intelligence work.

Cerebras is one of a number of startups making chips specifically designed for AI and aiming to challenge current market leaders Nvidia Corp and Alphabet Inc’s Google. The company has raised about $475 million in venture capital and has secured deals with pharmaceutical firms GlaxoSmithKline Plc and AstraZeneca Plc to use its chips to speed up drug discovery.

Traditionally, hundreds or even thousands of computer chips are manufactured on a 12-inch (30 cm) silicon disc called a wafer, which is later sliced up into individual chips. Cerebras, by contrast, uses the entire wafer. The huge Cerebras chip can hold more data at once.

But artificial intelligence researchers now have AI models called “neural networks” too big for any single chip to hold, so they must split them up across many chips. The biggest current neural networks are still only a fraction of the complexity of a human brain, but they use much more energy than human brains because the systems that run them become less power-efficient as more chips are added.

Cerebras said on Wednesday that it can put together 192 of its chips to train huge neural networks, but that the power efficiency will stay the same as chips are added. In other words, Cerebras can double the amount of computing its chips do for double the power, unlike current systems that need more than twice as much power to double their computing capacity.

Current AI systems “are in the realm where you’re talking about tens of megawatts of power, and you’re doing it over months. You’re using a the equivalent of a small city’s power to train these networks,” Cerebras Chief Executive Andrew Feldman told Reuters. “Power is extremely important.”

(Reporting by Stephen Nellis in San Francisco; Editing by Matthew Lewis)

Categories: News
Tags: BI, Data, research, startup, startups

About Reuters

Primary Sidebar

E-mail Newsletter

Sign up to receive email updates daily and to hear what's going on with us!

Publish
AN Article
Submit
a press release
List
AN Event
Create
A Job Post

Jobs

  • Software Engineer | South Yorkshire, GB - February 07, 2023
  • Software Engineer with C# .net Investment House | London, GB - February 07, 2023
  • Senior Java Developer | London, GB - February 07, 2023
  • Software Engineer – Growing Digital Media Company | London, GB - February 07, 2023
  • LBG Returners – Senior Data Analyst | Chester Moor, GB - February 07, 2023
More Jobs

Tags

AI Amazon analysis analytics application Artificial Intelligence BI Big Data business China Cloud Companies company crypto customers Data design development digital engineer engineering environment experience future Google+ government Group health information learning machine learning mobile news public research security services share skills social social media software solutions strategy technology

News

  • Renault customers to lodge criminal complaint in France over faulty engines
  • Tech shares see biggest-ever weekly inflow on AI boom-BofA
  • Kenya central bank says digital currency not a ‘compelling priority’
  • Netflix, Disney, Amazon to challenge India’s tobacco rules for streaming-sources
  • SentinelOne’s disappointing forecast slams shares
More News

Related Online Courses

  • Oracle Cloud Data Management Foundations Workshop
  • Data Science at Scale
  • Statistics with Python
More courses

Footer


Datafloq is the one-stop source for big data, blockchain and artificial intelligence. We offer information, insights and opportunities to drive innovation with emerging technologies.

  • Facebook
  • LinkedIn
  • RSS
  • Twitter

Recent

  • 5 Reasons Why Modern Data Integration Gives You a Competitive Advantage
  • 5 Most Common Database Structures for Small Businesses
  • 6 Ways to Reduce IT Costs Through Observability
  • How is Big Data Analytics Used in Business? These 5 Use Cases Share Valuable Insights
  • How Realistic Are Self-Driving Cars?

Search

Tags

AI Amazon analysis analytics application Artificial Intelligence BI Big Data business China Cloud Companies company crypto customers Data design development digital engineer engineering environment experience future Google+ government Group health information learning machine learning mobile news public research security services share skills social social media software solutions strategy technology

Copyright © 2023 Datafloq
HTML Sitemap| Privacy| Terms| Cookies

  • Facebook
  • Twitter
  • LinkedIn
  • WhatsApp

In order to optimize the website and to continuously improve Datafloq, we use cookies. For more information click here.

settings

Dear visitor,
Thank you for visiting Datafloq. If you find our content interesting, please subscribe to our weekly newsletter:

Did you know that you can publish job posts for free on Datafloq? You can start immediately and find the best candidates for free! Click here to get started.

Not Now Subscribe

Thanks for visiting Datafloq
If you enjoyed our content on emerging technologies, why not subscribe to our weekly newsletter to receive the latest news straight into your mailbox?

Subscribe

No thanks

Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.

If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.

Marketing cookies

This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.

Keeping this cookie enabled helps us to improve our website.

Please enable Strictly Necessary Cookies first so that we can save your preferences!