Apple made a recent announcement stating that its AI system, Apple Intelligence, utilizes artificial intelligence models that were pretrained on Google’s Tensor Processing Units (TPUs). This move signifies a shift in the industry, as Big Tech companies are exploring alternatives to Nvidia for cutting-edge AI training.
In a technical paper released by Apple, it was revealed that the company opted to use Google’s TPU for training Apple Intelligence. Google’s TPUs are known for their efficiency and scalability, offering a cost-effective solution for AI training. Additionally, Google’s TPUs are among the most advanced custom chips designed for artificial intelligence, making them a popular choice among tech companies.
Nvidia’s GPUs have long dominated the market for high-end AI training chips. However, due to high demand and supply chain issues, companies like Apple are exploring other options for AI training. Despite Nvidia’s popularity, Apple’s decision to use Google’s TPUs signals a changing landscape in the AI chip industry.
Major players in the tech industry, such as Meta, Microsoft, and Oracle, have also been utilizing Nvidia’s GPUs for their AI models. However, with companies like Apple turning to Google’s TPUs, it raises questions about the future of AI infrastructure and the importance of diversifying chip suppliers.
Apple recently unveiled Apple Intelligence, a system that includes various new features aimed at enhancing user experience. These features include a revamped Siri interface, improved natural language processing, and AI-generated summaries in text fields. Over the next year, Apple plans to introduce functions based on generative AI, such as image and emoji generation, as well as enhanced Siri capabilities.
Google’s latest TPUs are cost-effective, priced at under $2 per hour when booked for three years in advance. This affordability, coupled with the efficiency and scalability of Google’s TPUs, makes them an attractive option for companies looking to train cutting-edge AI models without breaking the bank.
Apple’s decision to leverage Google’s TPUs for training its AI system signifies a shift in the industry away from Nvidia’s GPUs. As more companies seek alternatives for AI training chips, it will be interesting to see how this trend impacts the development and deployment of AI technologies in the future.
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