AMD Q1 Earnings Surge on AI Demand, Stock Jumps After Strong Guidance 
JD Sports Backs Nike CEO Elliott Hill Amid Brand Turnaround Efforts 
Hua Hong Semiconductor Stock Surges to Multi-Year High Amid AI Boom 
Broadcom Eyes $35 Billion AI Chip Financing Deal With Apollo and Blackstone 
Orsted Q1 EBITDA Beats Expectations Despite U.S. Impairments 
Sony Forecasts Lower 2027 Profit Despite Strong Music and Sensor Growth 
Dell Stock Hits Record High After Trump Endorsement, AI Server Demand Fuels Rally 
Apple Explores Intel and Samsung Partnerships to Diversify Chip Supply Chain 
Maersk Q1 Earnings Beat Expectations as Iran Conflict Clouds Shipping Outlook 
Armani Group Eyes Strategic Stake Sale to Luxury Giants 
Trump Invites Top CEOs Including Nvidia, Apple, Boeing to China Summit With Xi Jinping 
Continental AG Shares Jump After Q1 Profit Beats Expectations 
Lufthansa Q1 Loss Narrows as Strong Summer Travel Demand Boosts Outlook 
Anthropic’s $1.5B AI Venture with Wall Street Firms Targets Private Equity Market 
Taiwan Activates Backup Communications After Undersea Cable Break on Dongyin Island 
Samsung Appoints New TV Business Head Amid Rising Competition from Chinese Rivals 
CoreWeave Q1 2026 Revenue Surges as AI Infrastructure Demand Grows 
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.
