Model
stringclasses
3 values
Framework
stringclasses
1 value
Accuracy
stringclasses
1 value
Inferential Mode
stringclasses
1 value
TP
int64
1
4
Max_Input_Output
stringclasses
4 values
Concurrency
int64
3
92
TTFT
float64
144
4.46k
TPOT
float64
49.7
55
Generate TPS
float64
44.8
1.79k
Total TPS
float64
1.33k
6.79k
QPS
float64
0.11
4.5
Llama-3.1-8B-Instruct
vllm
FP8
server
1
(1000, 500)
92
144.027
49.7313
1,793.1533
5,836.0988
4.501
Llama-3.1-8B-Instruct
vllm
FP8
server
1
(2000, 500)
62
264.4247
49.7329
1,201.3084
6,617.8854
3.0138
Llama-3.1-8B-Instruct
vllm
FP8
server
1
(3600, 500)
38
445.2348
49.7002
731.0105
6,789.137
1.8406
Llama-3.1-8B-Instruct
vllm
FP8
server
1
(20000, 500)
7
2,493.5093
50.0167
122.3333
5,592.8262
0.3022
Qwen2.5-72B-Instruct_FP8_TP4
vllm
FP8
server
4
(1000, 500)
23
326.0608
49.6567
407.1565
1,331.8259
1.0289
Qwen2.5-72B-Instruct_FP8_TP8
vllm
FP8
server
4
(3600, 500)
9
802.3972
49.8334
164.919
1,548.7753
0.4186
Qwen2.5-72B-Instruct_FP8_TP8
vllm
FP8
server
4
(20000, 500)
3
4,463.8949
55.0398
44.771
2,011.0025
0.1092