NVIDIA / cuopt
GPU accelerated decision optimization
See what the GitHub community is most excited about this week.
GPU accelerated decision optimization
DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling
RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.
LLM training in simple, raw C/CUDA
Instant neural graphics primitives: lightning fast NeRF and more
cuVS - a library for vector search and clustering on the GPU
NCCL Tests
[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.
Mirage Persistent Kernel: Compiling LLMs into a MegaKernel
Fast CUDA matrix multiplication from scratch