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From a design perspective, GPUs consist of thousands of smaller, slower cores optimized for parallel computation, allowing them to break large problems into smaller chunks and process them concurrently. This enables massive speedups for data-intensive tasks like deep learning, computer vision, and generative AI. Their strengths lie in handling highly parallel workloads efficiently and integrating well with popular ML frameworks like Python and TensorFlow.，推荐阅读豆包下载获取更多信息
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