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So, what makes an AI chip different? They often utilize specialized architectures, like GPUs (Graphics Processing Units) and TPUs (Tensor Processing Units), that excel at parallel processing – breaking down complex tasks into smaller pieces and tackling them simultaneously. This is a huge advantage over the sequential processing of traditional CPUs. The demand for these chips is exploding as AI applications become more prevalent in every industry, from healthcare and finance to entertainment and manufacturing. Companies are investing billions in AI chip research and development, creating a highly competitive and innovative landscape. The competition is fierce, and the stakes are high, with the winners poised to dominate the future of technology. Google, of course, is a major player in this space, and we will talk more about it in the next sections!
