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@ -49,9 +49,13 @@ Excited to introduce **DeepEP** - the first open-source EP communication library
Introducing DeepGEMM - an FP8 GEMM library that supports both dense and MoE GEMMs, powering V3/R1 training and inference. Introducing DeepGEMM - an FP8 GEMM library that supports both dense and MoE GEMMs, powering V3/R1 training and inference.
⚡ Up to 1350+ FP8 TFLOPS on Hopper GPUs ⚡ Up to 1350+ FP8 TFLOPS on Hopper GPUs
✅ No heavy dependency, as clean as a tutorial ✅ No heavy dependency, as clean as a tutorial
✅ Fully Just-In-Time compiled ✅ Fully Just-In-Time compiled
✅ Core logic at ~300 lines - yet outperforms expert-tuned kernels across most matrix sizes ✅ Core logic at ~300 lines - yet outperforms expert-tuned kernels across most matrix sizes
✅ Supports dense layout and two MoE layouts ✅ Supports dense layout and two MoE layouts
🔗 GitHub: https://github.com/deepseek-ai/DeepGEMM 🔗 GitHub: https://github.com/deepseek-ai/DeepGEMM