<p>Learn how to leverage NVIDIA’s cuDNN Frontend Graph API to build custom kernel fusions, autotuning engine configurations, FP8-style epilogues, scaled dot-product attention, dynamic shapes, and CUDA graph captures. This practical tutorial demonstrates how to optimize deep learning computations directly below framework abstractions while validating results against PyTorch</p>
<p>The post <a href="https://www.marktechpost.com/2026/09/15/inside-nvidias-cudnn-graph-api-fusion-autotuning-and-plan-reuse-with-cudnn-frontend/">Inside NVIDIA’s cuDNN Graph API: Fusion, Autotuning, and Plan Reuse with cuDNN Frontend</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>