The rivalry between Apple and Google continues at full speed. Although we usually hear about the competition between Android and iOS, this race is expanding into different categories with advancing technology. The latest of these is undoubtedly artificial intelligence, despite being a relatively new technology.
However, it seems that this animosity doesn’t mean they can’t benefit from each other. In fact, a new AI research paper published by Apple reveals that Apple is using Google hardware to lay the first foundations of Apple Intelligence. Here are the details…
Apple Apple Uses Google’s TPU Clusters to train Apple Intelligence
Apple and Google are often considered rivals in the tech world, but it is noteworthy that Apple is using Google hardware in its AI research. It has been revealed that Apple is developing its AI models using Google’s v4 and v5p Cloud TPU clusters.
This information was disclosed in a newly published research paper by Apple. The study, titled “Apple Intelligence Foundation Language Models,” details the sources and development processes underlying Apple’s new AI technology.
The paper explains the data sources Apple used to train its AI models and the techniques applied during this process. However, the most striking detail is that Apple initially utilized Google’s v4 and v5p Cloud TPU clusters.
For those who may not know, Google’s Cloud TPU clusters are designed to meet high-performance computing needs, making them an ideal platform for intensive computational tasks such as training large language models.
The likely reason behind Apple’s move is “speed.” Although many of us may have forgotten, the AI craze that began with the announcement of ChatGPT is not even two years old.
This means companies need time to develop their own technologies. While some may act more quickly in this regard, Apple might have wanted to save time by using its competitor’s technologies.
Nevertheless, this is only a temporary solution. Apple plans to invest over $5 billion in AI developments over the next two years. This investment is seen as part of Apple’s goal to catch up with the technological capabilities of industry leaders like Microsoft and Meta.
Whether they will succeed remains to be seen.
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