Monthly Trending Repositories of Cuda on GitHub Mon, 14 Sep 2026 05:38:10 GMT https://mshibanami.github.io/GitHubTrendingRSS https://github.com/flashinfer-ai/flashinfer <p>FlashInfer: Kernel Library for LLM Serving</p><p><img src="https://mshibanami.github.io/GitHubTrendingRSS/assets/icons/link.png" width="20" height="20" alt="link" style="margin: 0 8px 0 0; padding: 0; display: inline-block; vertical-align: middle;" /><a href="https://flashinfer.ai">https://flashinfer.ai</a></p><hr> https://github.com/deepseek-ai/DeepEP <p>DeepEP: an efficient expert-parallel communication library</p><hr> https://github.com/NVlabs/instant-ngp <p>Instant neural graphics primitives: lightning fast NeRF and more</p><p><img src="https://mshibanami.github.io/GitHubTrendingRSS/assets/icons/link.png" width="20" height="20" alt="link" style="margin: 0 8px 0 0; padding: 0; display: inline-block; vertical-align: middle;" /><a href="https://nvlabs.github.io/instant-ngp">https://nvlabs.github.io/instant-ngp</a></p><hr> https://github.com/deepseek-ai/DeepGEMM <p>DeepGEMM: clean and efficient BLAS kernel library on GPU</p><hr> https://github.com/NVIDIA/cuopt <p>GPU accelerated decision optimization</p><p><img src="https://mshibanami.github.io/GitHubTrendingRSS/assets/icons/link.png" width="20" height="20" alt="link" style="margin: 0 8px 0 0; padding: 0; display: inline-block; vertical-align: middle;" /><a href="https://docs.nvidia.com/cuopt/user-guide/latest/introduction.html">https://docs.nvidia.com/cuopt/user-guide/latest/introduction.html</a></p><hr> https://github.com/thu-ml/SageAttention <p>[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.</p><p><img src="https://mshibanami.github.io/GitHubTrendingRSS/assets/icons/link.png" width="20" height="20" alt="link" style="margin: 0 8px 0 0; padding: 0; display: inline-block; vertical-align: middle;" /><a href="https://arxiv.org/abs/2410.02367">https://arxiv.org/abs/2410.02367</a></p><hr> https://github.com/NVIDIA/cuvs <p>cuVS - a library for vector search and clustering on the GPU</p><p><img src="https://mshibanami.github.io/GitHubTrendingRSS/assets/icons/link.png" width="20" height="20" alt="link" style="margin: 0 8px 0 0; padding: 0; display: inline-block; vertical-align: middle;" /><a href="https://docs.nvidia.com/cuvs/">https://docs.nvidia.com/cuvs/</a></p><hr> https://github.com/karpathy/llm.c <p>LLM training in simple, raw C/CUDA</p><hr> https://github.com/NVIDIA/raft <p>RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.</p><p><img src="https://mshibanami.github.io/GitHubTrendingRSS/assets/icons/link.png" width="20" height="20" alt="link" style="margin: 0 8px 0 0; padding: 0; display: inline-block; vertical-align: middle;" /><a href="https://docs.rapids.ai/api/raft/stable/">https://docs.rapids.ai/api/raft/stable/</a></p><hr> https://github.com/HazyResearch/ThunderKittens <p>Tile primitives for speedy kernels</p><hr> https://github.com/NVIDIA/cuCollections <p style="color:#586069;"><em>No description/README provided.</em></p> https://github.com/mirage-project/mirage <p>Mirage Persistent Kernel: Compiling LLMs into a MegaKernel</p><p><img src="https://mshibanami.github.io/GitHubTrendingRSS/assets/icons/link.png" width="20" height="20" alt="link" style="margin: 0 8px 0 0; padding: 0; display: inline-block; vertical-align: middle;" /><a href="https://mirage-project.readthedocs.io/">https://mirage-project.readthedocs.io/</a></p><hr> https://github.com/NVIDIA/nccl-tests <p>NCCL Tests</p><hr> https://github.com/BBuf/how-to-optim-algorithm-in-cuda <p>how to optimize some algorithm in cuda.</p><hr> https://github.com/NVIDIA/cudf-spark-jni <p>NVIDIA cuDF plugin JNI For Apache Spark</p><hr> https://github.com/rapidsai/cugraph <p>cuGraph - RAPIDS Graph Analytics Library</p><p><img src="https://mshibanami.github.io/GitHubTrendingRSS/assets/icons/link.png" width="20" height="20" alt="link" style="margin: 0 8px 0 0; padding: 0; display: inline-block; vertical-align: middle;" /><a href="https://docs.rapids.ai/api/cugraph/stable/">https://docs.rapids.ai/api/cugraph/stable/</a></p><hr>