Add H20-3e fused MoE kernel tuning configs for GLM-4.5

[JaceyShao]

Essential Elements of an Effective PR Description Checklist

• The purpose of the PR, such as "Fix some issue (link existing issues this PR will resolve)".
• The test plan, such as providing test command.
• The test results, such as pasting the results comparison before and after, or e2e results

Purpose

H20-3e is H20 GPU with 141G memory. Add Moe tuning configs for GLM-4.5

Test Plan

Tuning command:

python3 /mnt/workspace/repos/vllm/benchmarks/kernels/benchmark_moe.py --model /mnt/models/ZhipuAI/GLM-4.5 -tp 8 --dtype auto --tune

Deploy GLM-4.5:

vllm serve /mnt/workspace/GLM-4.5 --host 0.0.0.0 --port 8000 --root '/' --no-enable-prefix-caching --trust-remote-code --tensor-parallel-size 8 --served-model-name GLM-4.5

Benchmark:

python3 -m sglang.bench_serving --tokenizer /mnt/models/ZhipuAI/GLM-4.5 --host 0.0.0.0 --port 8000 --backend vllm --dataset-name random --random-input 1024 --random-output 512 --max-concurrency 8 --num-prompt 200

Test Result

Results without Moe tuning:

============ Serving Benchmark Result ============
Backend:                                 vllm      
Traffic request rate:                    inf       
Max request concurrency:                 8         
Successful requests:                     200       
Benchmark duration (s):                  188.34    
Total input tokens:                      103005    
Total generated tokens:                  53590     
Total generated tokens (retokenized):    53521     
Request throughput (req/s):              1.06      
Input token throughput (tok/s):          546.92    
Output token throughput (tok/s):         284.54    
Total token throughput (tok/s):          831.46    
Concurrency:                             7.80      
----------------End-to-End Latency----------------
Mean E2E Latency (ms):                   7342.70   
Median E2E Latency (ms):                 7227.67   
---------------Time to First Token----------------
Mean TTFT (ms):                          132.61    
Median TTFT (ms):                        130.02    
P99 TTFT (ms):                           467.44    
---------------Inter-Token Latency----------------
Mean ITL (ms):                           27.05     
Median ITL (ms):                         25.35     
P95 ITL (ms):                            25.84     
P99 ITL (ms):                            108.98    
Max ITL (ms):                            413.55    
==================================================

Results with Moe tuning:

============ Serving Benchmark Result ============
Backend:                                 vllm      
Traffic request rate:                    inf       
Max request concurrency:                 8         
Successful requests:                     200       
Benchmark duration (s):                  174.84    
Total input tokens:                      103005    
Total generated tokens:                  53590     
Total generated tokens (retokenized):    53521     
Request throughput (req/s):              1.14      
Input token throughput (tok/s):          589.13    
Output token throughput (tok/s):         306.51    
Total token throughput (tok/s):          895.64    
Concurrency:                             7.79      
----------------End-to-End Latency----------------
Mean E2E Latency (ms):                   6811.83   
Median E2E Latency (ms):                 6722.36   
---------------Time to First Token----------------
Mean TTFT (ms):                          162.75    
Median TTFT (ms):                        129.51    
P99 TTFT (ms):                           1099.86   
---------------Inter-Token Latency----------------
Mean ITL (ms):                           24.95     
Median ITL (ms):                         22.98     
P95 ITL (ms):                            23.65     
P99 ITL (ms):                            111.87    
Max ITL (ms):                            1048.71   
==================================================

[gemini-code-assist]

Code Review

This pull request adds a new fused MoE kernel tuning configuration for the NVIDIA H20-3e GPU, specifically for the GLM-4.5 model. The new configuration file is generated from a tuning process, and the included benchmark results clearly demonstrate a performance improvement with increased request and token throughput. The changes are well-documented, and the new configuration file adheres to the project's existing format and naming conventions. The pull request is a valuable performance enhancement and is ready for merging.

[github-actions]

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[jeejeelee]

Thank you

[jeejeelee]

@DarkLight1337 The CI documentation failure seems unrelated to this PR.