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@ -44,10 +44,24 @@ Excited to introduce **DeepEP** - the first open-source EP communication library
✅ Native FP8 dispatch support ✅ Native FP8 dispatch support
✅ Flexible GPU resource control for computation-communication overlapping ✅ Flexible GPU resource control for computation-communication overlapping
### Day 3 - [DeepGEMM](https://github.com/deepseek-ai/DeepGEMM)
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
✅ No heavy dependency, as clean as a tutorial
✅ Fully Just-In-Time compiled
✅ Core logic at ~300 lines - yet outperforms expert-tuned kernels across most matrix sizes
✅ Supports dense layout and two MoE layouts
🔗 GitHub: https://github.com/deepseek-ai/DeepGEMM
### Ongoing Releases... ### Ongoing Releases...
## 2024 AI Infrastructure Paper (SC24) ## 2024 AI Infrastructure Paper (SC24)
### Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning ### Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning
<a href="https://dl.acm.org/doi/10.1109/SC41406.2024.00089"><b>📄 Paper Link</b></a> <a href="https://dl.acm.org/doi/10.1109/SC41406.2024.00089"><b>📄 Paper Link</b></a>
<a href="https://arxiv.org/abs/2408.14158"><b>📄 Arxiv Paper Link</b></a> <a href="https://arxiv.org/abs/2408.14158"><b>📄 Arxiv Paper Link</b></a>