CPU vs GPU for Running LLMs Locally

Researchers and developers need to run large language models (LLMs) such as GPT (Generative Pre-trained Transformer) efficiently and quickly. This efficiency heavily depends on the hardware used for training and inference tasks. Central Processing Units (CPUs) and Graphics Processing Units (GPUs) are the main contenders in this arena. Each has strengths and weaknesses in processing […]

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