算力商业
developer.nvidia.com ·
@Tanya Lenz
如何用 NVIDIA GPUDirect Storage 在 Python 中把数据读入 GPU 显存
NVIDIA 开发者博客发布技术教程，介绍在 Python 中借助 GPUDirect Storage 将数据直接读入 GPU 显存，以应对 AI 模型算力与训练数据规模同步增长带来的存储到 GPU 的数据搬运瓶颈。正文片段仅给出背景数据，未展示具体实现细节。
AI推荐理由 NVIDIA 开发者博客的官方技术教程，主题是用 Python 通过 GPUDirect Storage 把数据直接读入 GPU 显存，属于可复现的工程实践内容，对处理大规模数据集的 AI 开发者有直接参考价值。局限在于提供的正文片段只有背景铺垫（引用 2025 Stanford AI Index 的算力与数据规模增长数据），没有给出具体 API、代码或性能数据，无法据此判断教程深度和实际效果。
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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...
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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