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Nvidia Developer Blog October 22, 2026 positive

How to Read Data into GPU Memory in Python with NVIDIA GPUDirect Storage

NVIDIAAI / LLMNVIDIA / GPUMemoryData Center
<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-768x432.png" class="webfeedsFeaturedVisual wp-post-image" alt="Deocrative image." style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-768x432.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-179x101.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-300x169.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-625x352.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-1536x864.png 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-645x363.png 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-660x370.png 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-500x281.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-160x90.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-362x204.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-196x110.png 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-1024x576.png 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-960x540.png 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data.webp 1920w" sizes="(max-width: 768px) 100vw, 768px" title="ai-data" />GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 2025 Stanford AI Index, compute for notable AI...<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-768x432.png" class="webfeedsFeaturedVisual wp-post-image" alt="Deocrative image." style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" loading="lazy" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-768x432.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-179x101.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-300x169.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-625x352.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-1536x864.png 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-645x363.png 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-660x370.png 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-500x281.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-160x90.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-362x204.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-196x110.png 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-1024x576.png 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data-960x540.png 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/03/ai-data.webp 1920w" sizes="auto, (max-width: 768px) 100vw, 768px" title="ai-data" /><p>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…</p> <p><a href="https://developer.nvidia.com/blog/how-to-read-data-into-gpu-memory-in-python-with-nvidia-gpudirect-storage/" rel="nofollow" data-wpel-link="internal" target="_self">Source</a></p>
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