SAN FRANCISCO, CA – Apple’s approach to its artificial intelligence infrastructure has raised eyebrows, as the tech giant opted to utilize chips from Google rather than the leading industry player, Nvidia. In a recent research paper, Apple revealed details about the use of Google-designed chips in the development of its upcoming suite of AI tools and features.

Nvidia, known for producing highly sought-after AI processors, holds a dominant position in the market, commanding roughly 80%. However, Apple’s decision to rely on Google’s cloud infrastructure for its AI models signals a notable departure from the norm.

In the research paper, Apple detailed its use of Google’s tensor processing units (TPUs), with clusters of these chips forming the backbone of its AI model for both server and device operations. This choice of hardware suggests a strategic collaboration between Apple and Google in the realm of artificial intelligence development.

While Nvidia focuses on graphics processing units (GPUs) and does not design TPUs, Google’s approach involves offering TPUs through its Google Cloud Platform. This partnership allows customers to access and utilize Google’s hardware for AI applications, a model divergent from Nvidia’s standalone product sales approach.

Apple’s unveiling of new AI features, including integration of OpenAI’s ChatGPT technology, signifies the company’s commitment to advancing AI capabilities in its products. Despite using Google chips, Apple remains at the forefront of innovation in the tech industry, continuously pushing boundaries in AI development.

The revelation that Apple heavily relies on Google hardware for its AI infrastructure sheds light on the evolving landscape of tech partnerships and collaborations. As Apple prepares to roll out its AI tools to beta users, the industry awaits further developments in this dynamic and competitive field.