Apple revealed that its new artificial intelligence model training uses Google’s Tensor Processing Units (TPUs) instead of Nvidia’s GPUs. This decision is significant because Nvidia dominates the AI chip market with a share of 80%.
Apple deployed 2048 TPUv5p chips in its iPhone AI model and 8192 TPUv4 processors in its server AI model.
Although Apple did not make it clear that it would no longer use Nvidia chips, its research paper did not mention Nvidia hardware. The move highlights Apple’s reliance on Google’s cloud infrastructure for its AI development.
Apple said in a technical paper on Monday that the two artificial intelligence models that support its artificial intelligence system, Apple Intelligence, were pre-trained on Google designed cloud chips. This suggests that large technology companies are looking for alternatives to Nvidia in training cutting-edge artificial intelligence. In addition, Apple released a preview version of Apple Intelligence for some devices on Monday.
Apple said in a report Monday that the AFM-on-device was trained on a single “slice” of 2048 TPU v5p chips. This is the most advanced TPU, first launched in December last year. AFM-server is trained on 8192 TPU v4 chips configured to work together as eight slices through a data center network.
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Original text:https://www.cnbc.com/2024/07/29/apple-says-its-ai-models-were-trained-on-googles-custom-chips-.html
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