Selloff or Market Correction? Either Way, Here's What to Do NextSee Overvalued Stocks

How Apple used Google's help to train its AI models

Published 2024-06-11, 05:12 p/m
© Reuters. FILE PHOTO: Apple logo is seen in this illustration taken March 1, 2022. REUTERS/Dado Ruvic/Illustration/File Photo
GOOGL
-
AAPL
-
NVDA
-

By Max A. Cherney

SAN FRANCISCO (Reuters) - On stage on Monday CEO Tim Cook's Apple (NASDAQ:AAPL) announced a splashy deal with OpenAI to include its powerful artificial intelligence model as a part of its voice assistant, Siri.

But in the fine print of a technical document Apple published after the event, the company makes clear that Alphabet (NASDAQ:GOOGL)'s Google has emerged as another winner in the Cupertino, California, company's quest to catch up in AI.

To build Apple's foundation AI models, the company's engineers used its own framework software with a range of hardware, specifically its own on-premise graphics processing units (GPUs) and chips available only on Google's cloud called tensor processing units (TPUs).

Google has been building TPUs for roughly 10 years, and has publicly discussed two flavors of its fifth-generation chips that can be used for AI training; the performance version of the fifth generation offers performance competitive with Nvidia (NASDAQ:NVDA) H100 AI chips, Google said.

Google announced at its annual developer conference that a sixth generation will launch this year.

The processors are designed specifically to run AI applications and train models, and Google has built cloud computing hardware and software platform around them.

Apple and Google did not immediately return requests for comment.

© Reuters. FILE PHOTO: A 3D printed Google logo is placed on the Apple Macbook in this illustration taken April 12, 2020. REUTERS/Dado Ruvic/Illustration/File Photo

Apple did not discuss the extent to which it relied on Google's chips and software compared with hardware from Nvidia or other AI vendors.

But using Google's chips typically requires a client to purchase access to them through its cloud division, much in the same way customers buy computing time from Amazon.com (NASDAQ:AMZN)'s AWS or Microsoft (NASDAQ:MSFT)'s Azure.

Latest comments

Risk Disclosure: Trading in financial instruments and/or cryptocurrencies involves high risks including the risk of losing some, or all, of your investment amount, and may not be suitable for all investors. Prices of cryptocurrencies are extremely volatile and may be affected by external factors such as financial, regulatory or political events. Trading on margin increases the financial risks.
Before deciding to trade in financial instrument or cryptocurrencies you should be fully informed of the risks and costs associated with trading the financial markets, carefully consider your investment objectives, level of experience, and risk appetite, and seek professional advice where needed.
Fusion Media would like to remind you that the data contained in this website is not necessarily real-time nor accurate. The data and prices on the website are not necessarily provided by any market or exchange, but may be provided by market makers, and so prices may not be accurate and may differ from the actual price at any given market, meaning prices are indicative and not appropriate for trading purposes. Fusion Media and any provider of the data contained in this website will not accept liability for any loss or damage as a result of your trading, or your reliance on the information contained within this website.
It is prohibited to use, store, reproduce, display, modify, transmit or distribute the data contained in this website without the explicit prior written permission of Fusion Media and/or the data provider. All intellectual property rights are reserved by the providers and/or the exchange providing the data contained in this website.
Fusion Media may be compensated by the advertisers that appear on the website, based on your interaction with the advertisements or advertisers.
© 2007-2024 - Fusion Media Limited. All Rights Reserved.