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The AI chip war is coming, with players like NVIDIA, Samsung Semiconductor, Rebellion, OpenAI, Huawei, and Qualcomm. Who do you think will dominate? Many Investment Banking Institutions are investing Billions of Dollars in AI Chips Companies like Ti

This can be a game changer. A new AI chip by California based Cerebras Solutions that beats Nvidia, AMD and Intel with 20x faster speeds and over 4 Trillion transistors! Cerebras chips manufactures Water-Scale Engine chips which are generally more

Meta also launched their First Custom AI chip and what do you think 🤔? What is the future of AI chips industry because one side NVIDIA is dominating their Industry leading GPU's and Companies like OpenAI also is trying to raising funds from Venture

Nvidia is expected to generate $12 billion in revenue from the sale of artificial intelligence chips in China this year, despite facing export controls imposed by the US. These controls have significantly impacted. Nvidia's business in one of the

Do you think that , Investing in future gives you the best interest ♥️. Same is happening with NVIDIA !! In 2006, NVIDIA had heavily invested billions of dollars in AI chips tech , CUDA and Various Graphics related technologies.. Now NVIDIA is gett

Nvidia AMD TSMC Data Centers, Electricity Providers Nuclear Plants High tech employees And godfather of AI It is the whole secret sauce of AI, other than this is just a decorative wrapper !! What did I miss !

This is crazy 🤣😧 , firstly USA banned china and now China banned USA , China restricted NVIDIA,Intel Chips in China . Now they are promoted their companies to make AI Chips like Huawei , UniSOC etc. Tit For Tat 🤣😅🤑. Business Is War ♥️ 🚀 ♥️

In 2005, Intel skipped buying Nvidia for $20B and bet $10B on Larrabee. It failed. 2025: Intel trades at $115B after $23B in losses. Nvidia is $4.1T, owning 95% of AI chips. Now Nvidia invests $5B in Intel - not rescue money, but insurance. Patents

Let's Start With Today's Topic : How AI Chips Work , Uses , Companies Working On It? ° How AI Chips Work? •Large arrays of specialized processing cores for AI operations. •High-speed on-chip memory for storing AI models and data. •Fast interconn