CUPERTINO, Calif. Sunday, August, 04, 2024 – Apple has unexpectedly opted for Google’s Tensor Processing Units (TPUs) over Nvidia’s GPUs to train its latest AI models, reports said last week.
The tech giant’s decision marks a departure from industry norms, where Nvidia chips are the preferred choice for most AI development.
Apple’s Intelligent Foundation Language Models can be seen here.
Apple’s research paper detailing the training process for its Apple Intelligence Foundation Language Models revealed the use of Google’s TPUv4 and TPUv5 processors.
This unexpected move has raised eyebrows in the tech industry, given the intense competition between Apple and Google in other domains.
While the reasons for Apple’s choice remain unclear, the decision could potentially influence the AI chip market and the broader tech landscape.
However in recent times Nvidia has emerged as the undisputed leader in the AI chip market.
The company’s powerful GPUs have become the go-to choice for training complex AI models, driving its meteoric rise in recent years.
Nvidia’s market capitalization surpassed both Apple and Microsoft, solidifying its position as a tech industry titan. The company’s chips are essential for powering the AI revolution across various sectors, from autonomous vehicles to scientific research.
On the other hand Google’s Tensor Processing Units (TPUs) have become a cornerstone of the company’s AI strategy.
Designed specifically for machine learning workloads, TPUs excel at handling complex calculations and large datasets.
This specialized hardware has been instrumental in powering Google’s advancements in areas such as image recognition, natural language processing, and other AI applications.
