如何用 NVIDIA GPUDirect 存储在 Python 中将数据读入 GPU 内存

GPU应用正在用越来越强大的加速器处理不断增加的数据集。 根据2025年斯坦福AI指数，显著AI模型的计算大约每5个月翻一番，而用于训练LLMs的数据集大小大约每8个月翻一番。 随着计算和数据尺度的组合，从存储中高效移动数据变得。..

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GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 2025 Stanford AI Index, compute for notable AI models has been doubling approximately every five months, while the size of datasets used to train LLMs has been doubling approximately every eight months. As computation and data scale together, moving data efficiently from storage becomes…

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