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@ -48,20 +48,15 @@ Excited to introduce **DeepEP** - the first open-source EP communication library
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Introducing DeepGEMM - an FP8 GEMM library that supports both dense and MoE GEMMs, powering V3/R1 training and inference.
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Introducing DeepGEMM - an FP8 GEMM library that supports both dense and MoE GEMMs, powering V3/R1 training and inference.
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⚡ Up to 1350+ FP8 TFLOPS on Hopper GPUs
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⚡ Up to 1350+ FP8 TFLOPS on Hopper GPUs
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✅ No heavy dependency, as clean as a tutorial
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✅ No heavy dependency, as clean as a tutorial
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✅ Fully Just-In-Time compiled
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✅ Core logic at ~300 lines - yet outperforms expert-tuned kernels across most matrix sizes
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✅ Fully Just-In-Time compiled
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✅ Supports dense layout and two MoE layouts
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✅ Core logic at ~300 lines - yet outperforms expert-tuned kernels across most matrix sizes
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✅ Supports dense layout and two MoE layouts
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🔗 GitHub: https://github.com/deepseek-ai/DeepGEMM
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🔗 GitHub: https://github.com/deepseek-ai/DeepGEMM
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### Ongoing Releases...
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### Ongoing Releases...
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## 2024 AI Infrastructure Paper (SC24)
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## 2024 AI Infrastructure Paper (SC24)
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