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Alright, folks, let's talk about the *brain* behind the AI operation: **AI chips**! These aren't your grandpa's old computer chips; they're specially designed to handle the heavy-duty computations required by AI algorithms. Think of them as the engines that power everything from self-driving cars to advanced medical diagnoses. Now, why are these chips so important? Well, AI systems, especially those using deep learning, require an insane amount of processing power. They need to crunch through vast amounts of data, analyze complex patterns, and make quick decisions. This is where **GPUs and AI accelerators** come in handy. These chips are designed to perform the parallel processing needed for AI tasks, making them far more efficient than traditional CPUs. Nvidia has been a **major player in this field**, with its GPUs dominating the market. Their chips are known for their performance, energy efficiency, and software ecosystem, making them a top choice for AI developers and researchers. But, as China's AI ambitions continue to grow, the demand for these high-performance chips has skyrocketed. The catch? Access to these advanced chips isn't always guaranteed, especially with those pesky **export controls** in the mix.
