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Add fused MoE kernel tuning configs (fp8_w8a8) for DeepSeek V3/R1 on a single-node 8x NVIDIA H20 96GB setup #18333

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@sunyicode0012 sunyicode0012 commented May 19, 2025

Add fused MoE kernel tuning configs (fp8_w8a8) for DeepSeek V3/R1 on a single-node 8x NVIDIA H20 96GB setup
#5196
Fused MoE kernel configuration tuned on a single-node system with 8× NVIDIA H20 GPUs
The command used is:
python benchmark_moe.py
--model /datacenter/model/DeepSeek-R1/
--trust-remote-code
--dtype fp8_w8a8
--tp-size 8
--tune

Add fused MoE kernel tuning configs (fp8_w8a8) for DeepSeek V3/R1 on a single-node 8x NVIDIA H20 96GB setup
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@sunyicode0012
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Warning messages appear during the execution of the vLLM server when running inference for DeepSeek V3/R1 on a single-node system with 8× H20 GPUs.
1747637631234_EE930203-4F41-48d5-8BB6-D084A3375B2F

After applying the configuration:

Snipaste_2025-05-19_15-02-30

@github-project-automation github-project-automation bot moved this from Backlog to Done in DeepSeek V3/R1 May 19, 2025
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mergify bot commented May 19, 2025

⚠️ The sha of the head commit of this PR conflicts with #18337. Mergify cannot evaluate rules on this PR. ⚠️

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