How do advancements in CPU technology and software optimizations challenge the traditional belief that GPUs are essential for running AI algorithms?
What are some key differences between GPUs and CPUs in terms of architecture and functionality that may impact their performance in AI tasks?
How can AI researchers and developers leverage the capabilities of modern CPUs to improve the efficiency and scalability of AI applications, without relying heavily on GPU acceleration?
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