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Nvidia Developer Blog October 19, 2026 neutral

Accelerating Mamba-2 with High-Performance Forward Pass Kernels in NVIDIA CUDA Tile

NVIDIANVIDIA / GPU
<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-768x432.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="Decorative math 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/2025/11/Solving-Math-768x432.jpg 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-300x169.jpg 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-625x351.jpg 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-179x101.jpg 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-1536x864.jpg 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-2048x1152.jpg 2048w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-645x363.jpg 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-660x370.jpg 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-500x281.jpg 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-160x90.jpg 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-362x204.jpg 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-196x110.jpg 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-1024x576.jpg 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-960x540.jpg 960w" sizes="(max-width: 768px) 100vw, 768px" title="Solving-Math" />NVIDIA CUDA Tile (cuTile) is a Python-based DSL and parallel programming model for NVIDIA GPUs that automatically leverages advanced hardware capabilities to...<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-768x432.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="Decorative math 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/2025/11/Solving-Math-768x432.jpg 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-300x169.jpg 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-625x351.jpg 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-179x101.jpg 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-1536x864.jpg 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-2048x1152.jpg 2048w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-645x363.jpg 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-660x370.jpg 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-500x281.jpg 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-160x90.jpg 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-362x204.jpg 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-196x110.jpg 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-1024x576.jpg 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/Solving-Math-960x540.jpg 960w" sizes="auto, (max-width: 768px) 100vw, 768px" title="Solving-Math" /><p>NVIDIA CUDA Tile (cuTile) is a Python-based DSL and parallel programming model for NVIDIA GPUs that automatically leverages advanced hardware capabilities to deliver peak performance for tile-level GPU programming. By abstracting thread- and warp-level scheduling behind high-level, tile-centric primitives, cuTile enables you to write GPU kernels in Python while compiler optimizations automatically…</p> <p><a href="https://developer.nvidia.com/blog/accelerating-mamba-2-with-high-performance-forward-pass-kernels-in-nvidia-cuda-tile/" rel="nofollow" data-wpel-link="internal" target="_self">Source</a></p>
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