Nvidia, ByteDance, and the U.S.-China AI Chip Standoff Over H200 Exports 
Baidu Approves $5 Billion Share Buyback and Plans First-Ever Dividend in 2026 
Alphabet’s Massive AI Spending Surge Signals Confidence in Google’s Growth Engine 
Tencent Shares Slide After WeChat Restricts YuanBao AI Promotional Links 
Anthropic Eyes $350 Billion Valuation as AI Funding and Share Sale Accelerate 
SoftBank Shares Slide After Arm Earnings Miss Fuels Tech Stock Sell-Off 
Uber Ordered to Pay $8.5 Million in Bellwether Sexual Assault Lawsuit 
AMD Shares Slide Despite Earnings Beat as Cautious Revenue Outlook Weighs on Stock 
Oracle Plans $45–$50 Billion Funding Push in 2026 to Expand Cloud and AI Infrastructure 
Global PC Makers Eye Chinese Memory Chip Suppliers Amid Ongoing Supply Crunch 
Nintendo Shares Slide After Earnings Miss Raises Switch 2 Margin Concerns 
TSMC Eyes 3nm Chip Production in Japan with $17 Billion Kumamoto Investment 
Instagram Outage Disrupts Thousands of U.S. Users 
Nvidia CEO Jensen Huang Says AI Investment Boom Is Just Beginning as NVDA Shares Surge 
Toyota’s Surprise CEO Change Signals Strategic Shift Amid Global Auto Turmoil 
Rio Tinto Shares Hit Record High After Ending Glencore Merger Talks 
Nvidia Confirms Major OpenAI Investment Amid AI Funding Race 
A startling revelation from Apple’s latest research paper shows the tech giant using Google’s TPUs instead of Nvidia’s GPUs to train its innovative AI models, signaling a major shift in AI development strategy.
Apple’s Strategic Shift to Google Chips
According to a research paper published on Monday by Apple, the tech company used chips made by Google instead of market leader Nvidia to construct two critical parts of its AI software architecture for its upcoming AI toolkit and features.
Due to Nvidia's dominance in the artificial intelligence processor market, Apple's choice to employ Google's cloud infrastructure stands out.
Nvidia controls around 80% of the industry, which includes processors manufactured by cloud computing businesses like Google, Amazon, and others.
Nvidia Chips Not Mentioned by Apple
MSN shares that although Apple did not state that it did not employ Nvidia chips in the research report, the description of the AI tools and features' software and hardware infrastructure did not include any reference to Nvidia technology.
According to Apple, their AI models were trained using two variants of Google's tensor processing unit (TPU) distributed across massive clusters of processors.
In order to construct the AI model that will function on many devices, including iPhones, Apple utilized 2,048 TPUv5p chips. The server AI model that Apple used used 8,192 TPUv4 processors.
Nvidia Focuses on GPUs for AI
The graphics processing units (GPUs) utilized extensively in artificial intelligence (AI) are Nvidia's primary focus, not the design of TPUs.
Instead of selling chips and systems separately as Nvidia does, Google offers TPU access through its Cloud Platform. In order to utilize the chips, customers that are interested in purchasing access must develop software using Google's cloud platform.
Apple Relied Heavily on Google Tech
Reuters first mentioned the TPU processors in June, but it wasn't until Monday's research article that Apple revealed just how much it relied on Google technology.
In the document, Apple's developers mentioned that Google's chips could be used to create even more advanced and larger models than the two that were presented.
Among the many new artificial intelligence features introduced by Apple at its June developer conference was the incorporation of OpenAI's ChatGPT technology.
