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17 changes: 15 additions & 2 deletions tests/integration/test_lists/qa/llm_perf_core.yml
Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,8 @@ llm_perf_core:
# ===============================================================================
# 1: All GPUs common tests(L20, L40S, H100, H20, H200, GB200, B200, B300, GB300, RTX-6000D, RTX-6000-Server test cases)
# 2: L20, L40S, H100, H20, H200
# 3: L40S, H100, H20, H200
# 3: L40S, H100, H20, H200 (4 GPUs)
# 3b: L40S, H100, H20, H200 (8 GPUs)
# 4: H100, H20, H200 test cases
# 5: H100, H20, H200, GB200, B200, B300, GB300, RTX6000-D, RTX6000-Server test cases
# 6: GB200, B200, B300, GB300, RTX6000-Server test cases
Expand Down Expand Up @@ -136,6 +137,17 @@ llm_perf_core:
- perf/test_perf.py::test_perf[llama_v3.3_70b_instruct_fp8-bench-pytorch-float8-input_output_len:2000,500-gpus:4]
- perf/test_perf.py::test_perf[llama_v3.3_70b_instruct_fp8-bench-pytorch-float8-input_output_len:128,128-gpus:4]
- perf/test_perf.py::test_perf[llama_v3.3_70b_instruct_fp8-bench-pytorch-float8-input_output_len:512,32-gpus:4] #llama_v3.3_70b_instruct_fp8


# 3b: H100, H20, H200 (8 GPUs)
- condition:
ranges:
system_gpu_count:
gte: 8
compute_capability:
gt: 8.0
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Suggested change
gt: 8.0
gte: 9.0

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maybe remove 8XL40S because it's low-priority and 8XGPU is SYS topo which lead to unstable

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if remove 8XL40S, maybe you can merge 3b into 4

lte: 9.0
tests:
- perf/test_perf.py::test_perf[llama_v3.3_70b_instruct_fp8-bench-pytorch-streaming-float8-input_output_len:512,32-gpus:8]
- perf/test_perf.py::test_perf[llama_v3.3_70b_instruct_fp8-bench-pytorch-float8-input_output_len:512,32-gpus:8]
- perf/test_perf.py::test_perf[llama_v3.3_70b_instruct_fp8-bench-pytorch-float8-input_output_len:2000,200-gpus:8]
Expand Down Expand Up @@ -185,7 +197,6 @@ llm_perf_core:
- perf/test_perf.py::test_perf[phi_4_multimodal_instruct_audio-bench-pytorch-bfloat16-input_output_len:1000,1000-loras:1-con:250]
- perf/test_perf.py::test_perf[phi_4_multimodal_instruct_image-bench-pytorch-bfloat16-input_output_len:1000,1000-loras:1-con:250]
- perf/test_perf.py::test_perf[deepseek_v3_lite_fp8-bench-pytorch-float8-input_output_len:128,128]
- perf/test_perf.py::test_perf[qwen3_235b_a22b_fp8-bench-pytorch-float8-input_output_len:1000,2000-con:256-ep:8-gpus:8]


# 6: GB200, B200, B300, GB300, RTX6000-Server test cases
Expand Down Expand Up @@ -381,6 +392,8 @@ llm_perf_core:
lte: 12.0
tests:
- perf/test_perf.py::test_perf[llama_v4_maverick_17b_128e_instruct_fp8-bench-pytorch-float8-input_output_len:128,128-ep:8-tp:8-gpus:8]
# qwen3_235b_a22b_fp8
- perf/test_perf.py::test_perf[qwen3_235b_a22b_fp8-bench-pytorch-float8-input_output_len:1000,2000-con:256-ep:8-gpus:8]


# 12: RTX-6000D, RTX-6000 Server test cases
Expand Down
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