Trends
Apple employs Google’s chips for AI model training
OUR TAKEApple’s decision to use Google’s TPUs instead of Nvidia’s GPUs for AI model training marks a significant shift in its AI infrastructure strategy, leveraging Google’s tailored AI chips. This move highlights Apple’s aim to diversify its hardware reliance and explore alternative technologies am…
Headline
OUR TAKEApple’s decision to use Google’s TPUs instead of Nvidia’s GPUs for AI model training marks a significant shift in its AI infrastructure strategy, leveraging Google’s tailored AI chips. This move highlights Apple’s aim to diversify its hardware reliance and explore…
Context
OUR TAKE Apple’s decision to use Google’s TPUs instead of Nvidia’s GPUs for AI model training marks a significant shift in its AI infrastructure strategy, leveraging Google’s tailored AI chips. This move highlights Apple’s aim to diversify its hardware reliance and explore alternative technologies amidst Nvidia’s market dominance. -Vivienne Xie, BTW reporter According to a research paper published on Monday, Apple has opted to use chips designed by Google , rather than those from industry leader Nvidia , to develop two essential components of its artificial intelligence (AI) software infrastructure. The decision to rely on Google’s cloud infrastructure is notable given Nvidia’s dominance in the AI processor market.
Evidence
Pending intelligence enrichment.
Analysis
Nvidia, known for its highly sought-after AI processors, commands roughly 80% of the market alongside chips from other cloud computing companies like Google and Amazon . Despite Nvidia’s prominence, Apple’s research paper did not mention the use of Nvidia hardware. Instead, it underlined its reliance on Google’s tensor processing units (TPUs). To train its AI models, Apple utilised two types of Google’s TPUs, organised in large clusters. Specifically, Apple used 2,048 TPUv5p chips for the AI model intended for iPhones and other devices, and 8,192 TPUv4 processors for its server AI model. Unlike Nvidia, which focuses on graphics processing units (GPUs) sold as standalone products, Google offers access to TPUs through its Google Cloud Platform, requiring customers to build software within this platform to use the chips. Also read: Apple commits to AI safety in White House Initiative Also read: Amazon develops AI chips to challenge Nvidia’s market leadership Apple’s move is significant as it represents a shift away from Nvidia’s GPUs, which are widely used for AI applications. Google tailors TPUs for specific AI tasks, making them a viable alternative for companies like Apple.
Key Points
- Apple has decided to use Google’s chips to develop two key constituent parts of its artificial intelligence software infrastructure.
- This collaboration highlights the application of Google’s tensor processing units (TPUs) for developing key AI components, as Apple rolls out its new AI suite.
Actions
Pending intelligence enrichment.
