| 0.40 |
roseinfer (+chunk1024, +batch16, +warmup cg16, +prefill meta, +fast plan) |
8.06/11.51/14.80 |
1.33/1.44/1.58 |
1.27/1.52/2.55 |
172.45/186.81/207.18 |
| 0.40 |
roseinfer (+chunk1024, +chunk bucket, +batch16, +warmup cg16, +prefill meta, +fast plan) |
8.11/11.64/17.40 |
1.18/1.35/1.52 |
1.13/1.38/2.36 |
154.02/169.88/203.97 |
| 0.40 |
roseinfer (in-proc, +chunk1024, +batch16, +prefill meta, +fast plan) |
8.35/12.24/30.55 |
1.35/1.48/1.96 |
1.28/1.53/2.79 |
174.09/192.99/257.87 |
| 0.40 |
SGLang |
7.80/9.39/14.89 |
1.10/1.21/1.35 |
1.07/1.28/2.85 |
144.13/156.65/170.35 |
| 0.40 |
TensorRT-LLM |
5.82/6.30/8.03 |
1.40/1.44/1.90 |
1.40/1.53/2.62 |
182.62/187.42/193.03 |
| 0.40 |
vLLM |
9.20/10.15/14.54 |
1.59/1.83/1.99 |
1.53/1.87/3.41 |
201.93/234.64/253.63 |
| 0.80 |
roseinfer (+chunk1024, +batch16, +warmup cg16, +prefill meta, +fast plan) |
5.16/6.31/7.28 |
1.27/1.35/1.36 |
1.24/1.42/1.77 |
162.43/175.53/179.23 |
| 0.80 |
roseinfer (+chunk1024, +chunk bucket, +batch16, +warmup cg16, +prefill meta, +fast plan) |
5.19/5.96/7.05 |
1.12/1.19/1.24 |
1.10/1.27/1.62 |
145.69/155.80/160.19 |
| 0.80 |
roseinfer (in-proc, +chunk1024, +batch16, +prefill meta, +fast plan) |
4.00/5.15/5.45 |
1.28/1.36/1.38 |
1.25/1.42/2.14 |
162.59/175.32/179.33 |
| 0.80 |
SGLang |
8.63/9.83/14.13 |
1.07/1.15/1.27 |
1.06/1.21/2.02 |
142.70/149.64/160.67 |
| 0.80 |
TensorRT-LLM |
5.71/6.28/6.90 |
1.39/1.41/1.51 |
1.38/1.50/2.02 |
181.14/184.33/188.56 |
| 0.80 |
vLLM |
9.19/10.36/10.99 |
1.45/1.66/1.78 |
1.42/1.69/2.38 |
186.06/211.76/232.81 |
| 1.60 |
roseinfer (+chunk1024, +batch16, +warmup cg16, +prefill meta, +fast plan) |
5.29/6.20/6.63 |
1.26/1.33/1.44 |
1.23/1.40/1.70 |
161.71/173.39/188.51 |
| 1.60 |
roseinfer (+chunk1024, +chunk bucket, +batch16, +warmup cg16, +prefill meta, +fast plan) |
5.21/5.89/6.38 |
1.11/1.18/1.25 |
1.09/1.24/1.53 |
144.36/154.56/163.51 |
| 1.60 |
roseinfer (in-proc, +chunk1024, +batch16, +prefill meta, +fast plan) |
4.03/4.60/5.61 |
1.28/1.35/1.44 |
1.24/1.39/2.01 |
161.72/173.67/185.27 |
| 1.60 |
SGLang |
8.87/9.98/14.93 |
1.06/1.16/1.34 |
1.05/1.20/2.02 |
142.46/151.47/166.25 |
| 1.60 |
TensorRT-LLM |
5.88/6.43/7.02 |
1.38/1.41/1.53 |
1.38/1.50/1.86 |
180.76/184.17/199.04 |
| 1.60 |
vLLM |
9.44/10.73/11.37 |
1.37/1.56/1.78 |
1.38/1.60/2.02 |
182.80/201.53/230.43 |