Time: 2024-08-05
Apple recently confirmed that it is utilizing Google 's TPU chips for its AI development , opting for them over Nvidia 's chips . This decision was highlighted in a research paper by Apple that discussed the use of TPUv5p chips from Google for its iPhone AI . While Nvidia chips continue to be in high demand , Apple 's choice to use Google 's chips is significant.
In the research paper , Apple detailed the foundation language models that power its Apple Intelligence features , revealing that they used TPUv4 and TPUv5p chips from Google for training their Artificial intelligence tools . The tech giant notably did not mention Nvidia in the paper , indicating a shift towards Google 's Tensor Processing Units for their AI development.
This move by Apple is a departure from the norm , as Nvidia 's GPUs have traditionally been the preferred choice for training AI models . However , Apple 's decision to use Google 's custom AI chips signals a change in the landscape of the AI accelerator market.
Apple 's Embrace of AI Features and Models
Apple 's Apple Intelligence platform , set to go into beta later this year , includes various AI - powered features such as writing tools , image creation capabilities , and an enhanced version of Siri . The company has trained multiple AI models , both server - based and on - device , using Google 's TPU chips , marking a significant shift away from Nvidia 's GPUs.
The Impact on Nvidia 's Dominance in the AI Market
Nvidia 's nearly trillion valuation has been largely based on its dominance in the AI accelerator market . However , with Apple 's decision to avoid Nvidia 's GPUs entirely for its AI development , the company faces a significant challenge to its profitability and market share . The growing competition in the AI chip market poses a risk to Nvidia 's long - term sustainability and profitability.
In conclusion , Apple 's choice to use Google 's TPU chips over Nvidia 's GPUs for its AI development underscores the shifting dynamics in the AI accelerator market . As companies like Apple embrace alternative solutions for training AI models , Nvidia may face increasing challenges in maintaining its dominance in the industry.