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Merged
juney-nvidia merged 1 commit into from
May 18, 2025
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Refine doc #4420

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2 changes: 1 addition & 1 deletion ...ng_Latency_Boundaries_Optimizing_DeepSeek-R1_Performance_on_NVIDIA_B200_GPUs.md
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Expand Up @@ -136,7 +136,7 @@ The modules in the diagram are:
| Optimize CUTLASS Flow: Sparse Experts as GEMMs | 249 | The code is not open-source yet due to the dependency with internal base environment and we are planning to make it decoupled from internal base environment thus to be able to open-source in the future.|
| Introduce EP4TP2 for better workload balance | 253 | Use `--tp 8 --ep 4` when benchmarking |
| Introduce moe_backend=TRTLLM, EP2TP4 for better balance | 299 | [PR #4280](https://github.com/NVIDIA/TensorRT-LLM/pull/4280) |
| Optimize Fuse_A_GEMM and Router_GEMM | 340 | WIP: [PR #4115](https://github.com/NVIDIA/TensorRT-LLM/pull/4115) |
| Optimize Fuse_A_GEMM and Router_GEMM | 340 | WIP) |
| Relax Acceptance | **368** | [deepseek_v3#multi-token-prediction-mtp](https://github.com/NVIDIA/TensorRT-LLM/tree/main/examples/models/core/deepseek_v3#multi-token-prediction-mtp) |

### System Level optimizations
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