CSPC Pharma and AstraZeneca Forge Multibillion-Dollar Partnership to Develop Long-Acting Peptide Drugs 
Nvidia’s $100 Billion OpenAI Investment Faces Internal Doubts, Report Says 
Bob Iger Plans Early Exit as Disney Board Prepares CEO Succession Vote 
Meta Faces Lawsuit Over Alleged Approval of AI Chatbots Allowing Sexual Interactions With Minors 
Apple Forecasts Strong Revenue Growth as iPhone Demand Surges in China and India 
SpaceX Reports $8 Billion Profit as IPO Plans and Starlink Growth Fuel Valuation Buzz 
Advantest Shares Hit Record High on Strong AI-Driven Earnings and Nvidia Demand 
SpaceX Updates Starlink Privacy Policy to Allow AI Training as xAI Merger Talks and IPO Loom 
Boeing Secures New Labor Contract With Former Spirit AeroSystems Employees 
Meta Stock Surges After Q4 2025 Earnings Beat and Strong Q1 2026 Revenue Outlook Despite Higher Capex 
Toyota Retains Global Auto Sales Crown in 2025 With Record 11.3 Million Vehicles Sold 
Elon Musk’s Empire: SpaceX, Tesla, and xAI Merger Talks Spark Investor Debate 
Trump Threatens Aircraft Tariffs as U.S.-Canada Jet Certification Dispute Escalates 
ASML’s EUV Lithography Machines Power Europe’s Most Valuable Tech Company 
Amazon Stock Dips as Reports Link Company to Potential $50B OpenAI Investment 
Nvidia Confirms Major OpenAI Investment Amid AI Funding Race 
Apple Earnings Beat Expectations as iPhone Sales Surge to Four-Year High 
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.
