<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:media="http://search.yahoo.com/mrss/">
  <channel>
    
    <title>GitHub Cuda Daily Trending Repositories</title>
    <description>Daily Trending Repositories of Cuda on GitHub</description>
    
    <pubDate>Sun, 11 Oct 2026 06:42:14 GMT</pubDate>
    <link>https://mshibanami.github.io/GitHubTrendingRSS</link>
    
    <item>
      <title>deepseek-ai/DeepEP</title>
      <link>https://github.com/deepseek-ai/DeepEP</link>
      <description>&lt;p&gt;DeepEP: an efficient expert-parallel communication library&lt;/p&gt;&lt;hr&gt;</description>
      
      <media:content url="https://opengraph.githubassets.com/0595c41328c856378106b15d4203b4bee131f6be369b6c73a3267646c6f2c795/deepseek-ai/DeepEP" medium="image" />
      
    </item>
    
    <item>
      <title>flashinfer-ai/flashinfer</title>
      <link>https://github.com/flashinfer-ai/flashinfer</link>
      <description>&lt;p&gt;FlashInfer: Kernel Library for LLM Serving&lt;/p&gt;&lt;p&gt;&lt;img src=&quot;https://mshibanami.github.io/GitHubTrendingRSS/assets/icons/link.png&quot; width=&quot;20&quot; height=&quot;20&quot; alt=&quot;link&quot; style=&quot;margin: 0 8px 0 0; padding: 0; display: inline-block; vertical-align: middle;&quot; /&gt;&lt;a href=&quot;https://flashinfer.ai&quot;&gt;https://flashinfer.ai&lt;/a&gt;&lt;/p&gt;&lt;hr&gt;</description>
      
      <media:content url="https://opengraph.githubassets.com/63346d28a0e2c553bd410decdbee6f20172549d7459a4e7f277cf72112c3eb8a/flashinfer-ai/flashinfer" medium="image" />
      
    </item>
    
    <item>
      <title>NVIDIA/nccl-tests</title>
      <link>https://github.com/NVIDIA/nccl-tests</link>
      <description>&lt;p&gt;NCCL Tests&lt;/p&gt;&lt;hr&gt;</description>
      
      <media:content url="https://opengraph.githubassets.com/958f9547ab297af09a3ea63d2e8b0f7fe924f6a3579c6f13591d7d005ed141d0/NVIDIA/nccl-tests" medium="image" />
      
    </item>
    
    <item>
      <title>NVIDIA/cuopt</title>
      <link>https://github.com/NVIDIA/cuopt</link>
      <description>&lt;p&gt;GPU accelerated decision optimization&lt;/p&gt;&lt;p&gt;&lt;img src=&quot;https://mshibanami.github.io/GitHubTrendingRSS/assets/icons/link.png&quot; width=&quot;20&quot; height=&quot;20&quot; alt=&quot;link&quot; style=&quot;margin: 0 8px 0 0; padding: 0; display: inline-block; vertical-align: middle;&quot; /&gt;&lt;a href=&quot;https://docs.nvidia.com/cuopt/user-guide/latest/introduction.html&quot;&gt;https://docs.nvidia.com/cuopt/user-guide/latest/introduction.html&lt;/a&gt;&lt;/p&gt;&lt;hr&gt;</description>
      
      <media:content url="https://opengraph.githubassets.com/3875baff321a01fef1217ff2ee895516700b9a6b8c452a28a6838ac77a79effb/NVIDIA/cuopt" medium="image" />
      
    </item>
    
    <item>
      <title>karpathy/llm.c</title>
      <link>https://github.com/karpathy/llm.c</link>
      <description>&lt;p&gt;LLM training in simple, raw C/CUDA&lt;/p&gt;&lt;hr&gt;</description>
      
      <media:content url="https://opengraph.githubassets.com/99e2f38501f1af638393b0614a8b5680c4bf88c9364fbe0cf875b6b9f2c02798/karpathy/llm.c" medium="image" />
      
    </item>
    
    <item>
      <title>thu-ml/SageAttention</title>
      <link>https://github.com/thu-ml/SageAttention</link>
      <description>&lt;p&gt;[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.&lt;/p&gt;&lt;p&gt;&lt;img src=&quot;https://mshibanami.github.io/GitHubTrendingRSS/assets/icons/link.png&quot; width=&quot;20&quot; height=&quot;20&quot; alt=&quot;link&quot; style=&quot;margin: 0 8px 0 0; padding: 0; display: inline-block; vertical-align: middle;&quot; /&gt;&lt;a href=&quot;https://arxiv.org/abs/2410.02367&quot;&gt;https://arxiv.org/abs/2410.02367&lt;/a&gt;&lt;/p&gt;&lt;hr&gt;</description>
      
      <media:content url="https://opengraph.githubassets.com/e08a0a130254e14e03b1bdd539f953f3e6e6db86c804ae7166ef4cde72b584d2/thu-ml/SageAttention" medium="image" />
      
    </item>
    
    <item>
      <title>brucefan1983/GPUMD</title>
      <link>https://github.com/brucefan1983/GPUMD</link>
      <description>&lt;p&gt;Graphics Processing Units Molecular Dynamics&lt;/p&gt;&lt;p&gt;&lt;img src=&quot;https://mshibanami.github.io/GitHubTrendingRSS/assets/icons/link.png&quot; width=&quot;20&quot; height=&quot;20&quot; alt=&quot;link&quot; style=&quot;margin: 0 8px 0 0; padding: 0; display: inline-block; vertical-align: middle;&quot; /&gt;&lt;a href=&quot;https://gpumd.org/dev&quot;&gt;https://gpumd.org/dev&lt;/a&gt;&lt;/p&gt;&lt;hr&gt;</description>
      
      <media:content url="https://opengraph.githubassets.com/70ab60be908807193bbabccfe4f3b1339197a922b15ce8d1ad6823222955de82/brucefan1983/GPUMD" medium="image" />
      
    </item>
    
  </channel>
</rss>
