NVIDIA A100 GPU üzerinde GLM-4.5-Air işlem hacmi optimizasyonu Sonuç
A100 GPU üzerinde GLM-4.5-Air işlem hacmini optimize etmek için önerilen yapılandırma:
Model sunum komutu python3 -m sglang.launch_server --model-path zai-org/GLM-4.5-Air \
--tp-size 4 --ep-size 4 --tool-call-parser glm --reasoning-parser glm45
Optimizasyon öncesi ve sonrası benchmark sonuçlarının karşılaştırması:
Benchmark senaryosu temel yapılandırma (optimizasyonsuz vLLM) Optimize edilmiş (aynı GPU sayısına ölçeklenmiş) ShareGPT Toplam TPS: 3903.44 Ortalama TPOT(ms): 104.59 Toplam TPS: 6245.77 (+60.0%) Ortalama TPOT(ms): 309.31 Kısa istem Toplam TPS: 6271.24 Ortalama TPOT(ms): 153.00 Toplam TPS: 13012.20 (+107.5%) Ortalama TPOT(ms): 1246.57 Orta uzunlukta istem Toplam TPS: 8643.75 Ortalama TPOT(ms): 204.31 Toplam TPS: 10956.49 (+26.8%) Ortalama TPOT(ms): 165.34 Uzun istem Toplam TPS: 6975.10 Ortalama TPOT(ms): 267.38 Toplam TPS: 9100.71 (+30.5%) Ortalama TPOT(ms): 124.68 Çok uzun istem Toplam TPS: 6435.97 Ortalama TPOT(ms): 305.47 Toplam TPS: 7945.66 (+23.5%) Ortalama TPOT(ms): 276.41
Not
Benchmark testlerimiz olası tüm optimizasyon birleşimlerini kapsamaz. Örneğin, varsayılan yapılandırmasında en iyi performansı gösteren çıkarım motorunu sonraki ayarlamalar için başlangıç noktası olarak seçeriz. Bu eleme yaklaşımı yerel bir optimum verir; bu, genel optimum olmayabilir. En büyük toplu iş boyutu, zamanlama yapılandırması, genişletilmiş KV önbelleği, CUDA graph gibi belirli kullanım senaryolarına bağlı başka optimizasyonlar da vardır. Bu belgedeki sonuçlar, daha hedefli optimizasyonlar için başlangıç noktası olabilir. Testler belirli donanım ve yazılım yapılandırmalarında yürütülmüştür. Çıkarım motorlarındaki gelişmeler sonuçları değiştirebilir. Eksik noktalar veya yeni değişiklikleri yansıtacak güncellemeler varsa bize bildirin .
Optimizasyon hedefi Yüksek eş zamanlı isteklerde yüksek işlem hacmi sağlar.
Deney kurulumu Model zai-org/GLM-4.5-Air
Donanım Tek düğümde 4 × NVIDIA A100 SXM 80GB GPU.
Motor sürümü vLLM: v0.11.0 SGLang: v0.5.4.post2 TensorRT-LLM : v1.2.0rc1 Benchmark veri kümesi ShareGPT Farklı dizi uzunluklarına sahip rastgele veri kümesi: Çok uzun istem: 32000 giriş token'ı, 100 çıkış token'ı Uzun istem: 4000 giriş token'ı, 200 çıkış token'ı Orta uzunlukta istem: 2000 giriş token'ı, 100 çıkış token'ı Kısa istem: 128 giriş token'ı, 4 çıkış token'ı Benchmark betiği Model performansını ölçmek için vLLM bench CLI aracını kullanıyoruz. Benchmark şu komutla çalıştırılır:
# Prepare the ShareGPT dataset
wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json
# Benchmark on ShareGPT dataset
vllm bench serve --model zai-org/GLM-4.5-Air --backend openai-chat --endpoint /v1/chat/completions --dataset-name sharegpt --dataset-path ShareGPT_V3_unfiltered_cleaned_split.json --num-prompts 1000
# Benchmark on random dataset (fixed seed for reproducibility)
vllm bench serve --model zai-org/GLM-4.5-Air --backend openai-chat --endpoint /v1/chat/completions --dataset-name random --random-input-len 4000 --random-output-len 200 --num-prompts 500 --seed 42
Deney sonuçları 1. Çıkarım motoru seçimi vLLM
Model sunum betiği vllm serve zai-org/GLM-4.5-Air -tp 4
Benchmark sonucu ============ Serving Benchmark Result ============
Successful requests: 1000
Benchmark duration (s): 106.15
Total input tokens: 214465
Total generated tokens: 199904
Request throughput (req/s): 9.42
Output token throughput (tok/s): 1883.14
Peak output token throughput (tok/s): 3380.00
Peak concurrent requests: 1000.00
Total Token throughput (tok/s): 3903.44
---------------Time to First Token----------------
Mean TTFT (ms): 38971.22
Median TTFT (ms): 37502.20
P99 TTFT (ms): 76635.16
-----Time per Output Token (excl. 1st token)------
Mean TPOT (ms): 104.59
Median TPOT (ms): 101.18
P99 TPOT (ms): 210.38
---------------Inter-token Latency----------------
Mean ITL (ms): 91.67
Median ITL (ms): 87.56
P99 ITL (ms): 178.94
==================================================
SGLang
Model sunum betiği python3 -m sglang.launch_server --model-path zai-org/GLM-4.5-Air --tp-size 4
Benchmark sonucu ============ Serving Benchmark Result ============
Successful requests: 1000
Benchmark duration (s): 67.25
Total input tokens: 214465
Total generated tokens: 199873
Request throughput (req/s): 14.87
Output token throughput (tok/s): 2971.88
Peak output token throughput (tok/s): 11709.00
Peak concurrent requests: 1000.00
Total Token throughput (tok/s): 6160.72
---------------Time to First Token----------------
Mean TTFT (ms): 14772.52
Median TTFT (ms): 14625.90
P99 TTFT (ms): 22760.64
-----Time per Output Token (excl. 1st token)------
Mean TPOT (ms): 328.21
Median TPOT (ms): 129.31
P99 TPOT (ms): 2061.59
---------------Inter-token Latency----------------
Mean ITL (ms): 109.79
Median ITL (ms): 67.14
P99 ITL (ms): 411.08
==================================================
Sonuç: SGLang(6160.72 tok/s) > vLLM (3903.44 tok/s) > TensorRT-LLM (Desteklenmiyor)
2. SGLang için Quantization FP8
Model sunum betiği python3 -m sglang.launch_server --model zai-org/GLM-4.5-Air-FP8 --tp-size 4
Benchmark sonucu # Crash. FP8 not supported on A100
3. SGLang için Paralellik PP4
Model sunum betiği python3 -m sglang.launch_server --model zai-org/GLM-4.5-Air --pp-size 8
Benchmark sonucu # Crash. PP not supported for this setup.
TP4+EP4
Model sunum betiği python3 -m sglang.launch_server --model-path zai-org/GLM-4.5-Air --tp-size 4 --ep-size 4
Benchmark sonucu ============ Serving Benchmark Result ============
Successful requests: 1000
Benchmark duration (s): 66.34
Total input tokens: 214465
Total generated tokens: 199904
Request throughput (req/s): 15.07
Output token throughput (tok/s): 3013.15
Peak output token throughput (tok/s): 9933.00
Peak concurrent requests: 1000.00
Total Token throughput (tok/s): 6245.77
---------------Time to First Token----------------
Mean TTFT (ms): 8445.43
Median TTFT (ms): 8321.65
P99 TTFT (ms): 15245.84
-----Time per Output Token (excl. 1st token)------
Mean TPOT (ms): 309.31
Median TPOT (ms): 130.15
P99 TPOT (ms): 1969.56
---------------Inter-token Latency----------------
Mean ITL (ms): 112.44
Median ITL (ms): 75.24
P99 ITL (ms): 484.22
==================================================
4. SGLang için Dikkat arka ucu Bu kurulumda SGLang'in varsayılan dikkat arka ucu flashinfer'dır.
triton
Model sunum betiği python3 -m sglang.launch_server --model-path zai-org/GLM-4.5-Air --tp-size 4 --ep-size 4 --attention-backend triton
Benchmark sonucu ============ Serving Benchmark Result ============
Successful requests: 1000
Benchmark duration (s): 68.84
Total input tokens: 214465
Total generated tokens: 199904
Request throughput (req/s): 14.53
Output token throughput (tok/s): 2904.08
Peak output token throughput (tok/s): 9443.00
Peak concurrent requests: 1000.00
Total Token throughput (tok/s): 6019.69
---------------Time to First Token----------------
Mean TTFT (ms): 9348.81
Median TTFT (ms): 9050.60
P99 TTFT (ms): 17294.26
-----Time per Output Token (excl. 1st token)------
Mean TPOT (ms): 373.94
Median TPOT (ms): 141.96
P99 TPOT (ms): 2701.08
---------------Inter-token Latency----------------
Mean ITL (ms): 120.58
Median ITL (ms): 74.19
P99 ITL (ms): 413.30
==================================================
fa3
Model sunum betiği python3 -m sglang.launch_server --model-path zai-org/GLM-4.5-Air --tp-size 4 --ep-size 4 --attention-backend fa3
Benchmark sonucu ============ Serving Benchmark Result ============
Successful requests: 1000
Benchmark duration (s): 67.66
Total input tokens: 214465
Total generated tokens: 199904
Request throughput (req/s): 14.78
Output token throughput (tok/s): 2954.39
Peak output token throughput (tok/s): 8239.00
Peak concurrent requests: 1000.00
Total Token throughput (tok/s): 6123.98
---------------Time to First Token----------------
Mean TTFT (ms): 8260.21
Median TTFT (ms): 8222.20
P99 TTFT (ms): 15115.68
-----Time per Output Token (excl. 1st token)------
Mean TPOT (ms): 310.40
Median TPOT (ms): 133.38
P99 TPOT (ms): 2082.45
---------------Inter-token Latency----------------
Mean ITL (ms): 114.41
Median ITL (ms): 78.46
P99 ITL (ms): 397.40
==================================================
5. SGLang için CUDA graph ayarı Model sunum betiği python3 -m sglang.launch_server --model-path zai-org/GLM-4.5-Air --tp-size 4 --ep-size 4 --cuda-graph-max-bs 512
Benchmark sonucu ============ Serving Benchmark Result ============
Successful requests: 1000
Benchmark duration (s): 66.38
Total input tokens: 214465
Total generated tokens: 199904
Request throughput (req/s): 15.06
Output token throughput (tok/s): 3011.43
Peak output token throughput (tok/s): 10146.00
Peak concurrent requests: 1000.00
Total Token throughput (tok/s): 6242.21
---------------Time to First Token----------------
Mean TTFT (ms): 8458.72
Median TTFT (ms): 8006.49
P99 TTFT (ms): 15322.87
-----Time per Output Token (excl. 1st token)------
Mean TPOT (ms): 311.99
Median TPOT (ms): 131.91
P99 TPOT (ms): 1946.11
---------------Inter-token Latency----------------
Mean ITL (ms): 112.67
Median ITL (ms): 73.66
P99 ITL (ms): 516.14
==================================================
Optimizasyon seçeneklerinin özeti Optimizasyon seçeneği İşlem hacmi iyileşmesi Motor seçimi +57.8% Quantization - Paralellik +1.4% Dikkat arka ucu - CUDA graph ayarı -
Diğer benchmark senaryoları Optimize edilmiş yapılandırmanın farklı iş yüklerine genellenebilirliğini değerlendirmek için ek benchmark testleri yaptık.
Temel model sunum betiği vllm serve zai-org/GLM-4.5-Air -tp 4
Temel benchmark sonuçları # random 32K input
============ Serving Benchmark Result ============
Successful requests: 100
Benchmark duration ( s) : 498 .76
Total input tokens: 3200000
Total generated tokens: 9987
Request throughput ( req/s) : 0 .20
Output token throughput ( tok/s) : 20 .02
Peak output token throughput ( tok/s) : 218 .00
Peak concurrent requests: 100 .00
Total Token throughput ( tok/s) : 6435 .97
---------------Time to First Token----------------
Mean TTFT ( ms) : 248013 .29
Median TTFT ( ms) : 248015 .97
P99 TTFT ( ms) : 491884 .32
-----Time per Output Token ( excl. 1st token) ------
Mean TPOT ( ms) : 305 .47
Median TPOT ( ms) : 317 .93
P99 TPOT ( ms) : 319 .14
---------------Inter-token Latency----------------
Mean ITL ( ms) : 303 .40
Median ITL ( ms) : 309 .84
P99 ITL ( ms) : 406 .26
==================================================
# random 4K input
============ Serving Benchmark Result ============
Successful requests: 500
Benchmark duration ( s) : 300 .98
Total input tokens: 1999787
Total generated tokens: 99547
Request throughput ( req/s) : 1 .66
Output token throughput ( tok/s) : 330 .75
Peak output token throughput ( tok/s) : 1743 .00
Peak concurrent requests: 500 .00
Total Token throughput ( tok/s) : 6975 .10
---------------Time to First Token----------------
Mean TTFT ( ms) : 142573 .31
Median TTFT ( ms) : 141422 .49
P99 TTFT ( ms) : 289825 .31
-----Time per Output Token ( excl. 1st token) ------
Mean TPOT ( ms) : 267 .38
Median TPOT ( ms) : 295 .72
P99 TPOT ( ms) : 300 .72
---------------Inter-token Latency----------------
Mean ITL ( ms) : 266 .48
Median ITL ( ms) : 295 .37
P99 ITL ( ms) : 307 .18
==================================================
# random 2K input
============ Serving Benchmark Result ============
Successful requests: 500
Benchmark duration ( s) : 121 .41
Total input tokens: 999429
Total generated tokens: 50000
Request throughput ( req/s) : 4 .12
Output token throughput ( tok/s) : 411 .83
Peak output token throughput ( tok/s) : 1796 .00
Peak concurrent requests: 500 .00
Total Token throughput ( tok/s) : 8643 .75
---------------Time to First Token----------------
Mean TTFT ( ms) : 60300 .00
Median TTFT ( ms) : 60039 .46
P99 TTFT ( ms) : 116422 .28
-----Time per Output Token ( excl. 1st token) ------
Mean TPOT ( ms) : 204 .31
Median TPOT ( ms) : 224 .99
P99 TPOT ( ms) : 225 .56
---------------Inter-token Latency----------------
Mean ITL ( ms) : 202 .57
Median ITL ( ms) : 224 .72
P99 ITL ( ms) : 230 .94
==================================================
# random 128 input
============ Serving Benchmark Result ============
Successful requests: 1000
Benchmark duration ( s) : 21 .03
Total input tokens: 127881
Total generated tokens: 4000
Request throughput ( req/s) : 47 .55
Output token throughput ( tok/s) : 190 .21
Peak output token throughput ( tok/s) : 952 .00
Peak concurrent requests: 1000 .00
Total Token throughput ( tok/s) : 6271 .24
---------------Time to First Token----------------
Mean TTFT ( ms) : 16583 .77
Median TTFT ( ms) : 16009 .09
P99 TTFT ( ms) : 20726 .61
-----Time per Output Token ( excl. 1st token) ------
Mean TPOT ( ms) : 153 .00
Median TPOT ( ms) : 153 .83
P99 TPOT ( ms) : 173 .39
---------------Inter-token Latency----------------
Mean ITL ( ms) : 114 .74
Median ITL ( ms) : 153 .44
P99 ITL ( ms) : 192 .15
==================================================
Optimize edilmiş model sunum betiği python3 -m sglang.launch_server --model GLM-4.5-Air --tp-size 4 --ep-size 4 \
--tool-call-parser glm --reasoning-parser glm45
Optimize edilmiş benchmark sonuçları # random 32K input
============ Serving Benchmark Result ============
Successful requests: 100
Benchmark duration ( s) : 403 .99
Total input tokens: 3200000
Total generated tokens: 9931
Request throughput ( req/s) : 0 .25
Output token throughput ( tok/s) : 24 .58
Peak output token throughput ( tok/s) : 332 .00
Peak concurrent requests: 100 .00
Total Token throughput ( tok/s) : 7945 .66
---------------Time to First Token----------------
Mean TTFT ( ms) : 200446 .56
Median TTFT ( ms) : 199894 .57
P99 TTFT ( ms) : 397275 .29
-----Time per Output Token ( excl. 1st token) ------
Mean TPOT ( ms) : 276 .41
Median TPOT ( ms) : 295 .02
P99 TPOT ( ms) : 410 .95
---------------Inter-token Latency----------------
Mean ITL ( ms) : 271 .13
Median ITL ( ms) : 32 .39
P99 ITL ( ms) : 3555 .22
==================================================
# random 4K input
============ Serving Benchmark Result ============
Successful requests: 500
Benchmark duration ( s) : 230 .67
Total input tokens: 1999787
Total generated tokens: 99437
Request throughput ( req/s) : 2 .17
Output token throughput ( tok/s) : 431 .09
Peak output token throughput ( tok/s) : 1680 .00
Peak concurrent requests: 500 .00
Total Token throughput ( tok/s) : 9100 .71
---------------Time to First Token----------------
Mean TTFT ( ms) : 109316 .41
Median TTFT ( ms) : 113614 .39
P99 TTFT ( ms) : 222368 .09
-----Time per Output Token ( excl. 1st token) ------
Mean TPOT ( ms) : 124 .68
Median TPOT ( ms) : 124 .45
P99 TPOT ( ms) : 179 .33
---------------Inter-token Latency----------------
Mean ITL ( ms) : 123 .34
Median ITL ( ms) : 59 .70
P99 ITL ( ms) : 294 .40
==================================================
# random 2K input
============ Serving Benchmark Result ============
Successful requests: 500
Benchmark duration ( s) : 95 .78
Total input tokens: 999429
Total generated tokens: 49964
Request throughput ( req/s) : 5 .22
Output token throughput ( tok/s) : 521 .66
Peak output token throughput ( tok/s) : 3160 .00
Peak concurrent requests: 500 .00
Total Token throughput ( tok/s) : 10956 .49
---------------Time to First Token----------------
Mean TTFT ( ms) : 45224 .78
Median TTFT ( ms) : 44492 .00
P99 TTFT ( ms) : 91909 .36
-----Time per Output Token ( excl. 1st token) ------
Mean TPOT ( ms) : 165 .34
Median TPOT ( ms) : 163 .74
P99 TPOT ( ms) : 281 .83
---------------Inter-token Latency----------------
Mean ITL ( ms) : 162 .06
Median ITL ( ms) : 63 .35
P99 ITL ( ms) : 166 .19
==================================================
# random 128 input
============ Serving Benchmark Result ============
Successful requests: 1000
Benchmark duration ( s) : 10 .14
Total input tokens: 127881
Total generated tokens: 4000
Request throughput ( req/s) : 98 .67
Output token throughput ( tok/s) : 394 .66
Peak output token throughput ( tok/s) : 2166 .00
Peak concurrent requests: 1000 .00
Total Token throughput ( tok/s) : 13012 .20
---------------Time to First Token----------------
Mean TTFT ( ms) : 5882 .75
Median TTFT ( ms) : 5678 .55
P99 TTFT ( ms) : 9321 .13
-----Time per Output Token ( excl. 1st token) ------
Mean TPOT ( ms) : 1246 .57
Median TPOT ( ms) : 1420 .02
P99 TPOT ( ms) : 2379 .65
---------------Inter-token Latency----------------
Mean ITL ( ms) : 747 .94
Median ITL ( ms) : 59 .22
P99 ITL ( ms) : 6782 .02
==================================================