Add Qwen3.5-397B-A17B BF16 B200 SGLang benchmark (STP only)

.github/configs/nvidia-master.yaml

@@ -1782,6 +1782,28 @@ dsr1-fp8-b200-sglang:
     - { tp: 8, ep: 1, conc-start: 4, conc-end: 4 }
     - { tp: 4, ep: 1, conc-start: 4, conc-end: 32 }
 
+qwen3.5-bf16-b200-sglang:
+  image: lmsysorg/sglang:nightly-dev-20260216-d3bae71e
+  model: Qwen/Qwen3.5-397B-A17B
+  model-prefix: qwen3.5
+  runner: b200
+  precision: bf16
+  framework: sglang
+  multinode: false
+  seq-len-configs:
+  - isl: 1024
+    osl: 1024
+    search-space:
+    - { tp: 8, ep: 1, conc-start: 4, conc-end: 64 }
+  - isl: 1024
+    osl: 8192
+    search-space:
+    - { tp: 8, ep: 1, conc-start: 4, conc-end: 64 }
+  - isl: 8192
+    osl: 1024
+    search-space:
+    - { tp: 8, ep: 1, conc-start: 4, conc-end: 64 }
+
 dsr1-fp8-b200-sglang-mtp:
   image: lmsysorg/sglang:v0.5.8-cu130-amd64
   model: deepseek-ai/DeepSeek-R1-0528

benchmarks/qwen3.5_bf16_b200.sh

@@ -0,0 +1,62 @@
+#!/usr/bin/env bash
+
+source "$(dirname "$0")/benchmark_lib.sh"
+
+check_env_vars \
+    MODEL \
+    TP \
+    CONC \
+    ISL \
+    OSL \
+    RANDOM_RANGE_RATIO \
+    RESULT_FILENAME
+
+if [[ -n "$SLURM_JOB_ID" ]]; then
+  echo "JOB $SLURM_JOB_ID running on $SLURMD_NODENAME"
+fi
+
+nvidia-smi
+
+hf download "$MODEL"
+
+SERVER_LOG=/workspace/server.log
+PORT=${PORT:-8888}
+
+MEM_FRAC_STATIC=0.8
+
+ps aux
+
+set -x
+PYTHONNOUSERSITE=1 python3 -m sglang.launch_server \
+    --model-path=$MODEL \
+    --host=0.0.0.0 \
+    --port=$PORT \
+    --tensor-parallel-size=$TP \
+    --mem-fraction-static $MEM_FRAC_STATIC \
+    > $SERVER_LOG 2>&1 &
+
+SERVER_PID=$!
+
+# Wait for server to be ready
+wait_for_server_ready --port "$PORT" --server-log "$SERVER_LOG" --server-pid "$SERVER_PID"
+
+pip install -q datasets pandas
+
+run_benchmark_serving \
+    --model "$MODEL" \
+    --port "$PORT" \
+    --backend vllm \
+    --input-len "$ISL" \
+    --output-len "$OSL" \
+    --random-range-ratio "$RANDOM_RANGE_RATIO" \
+    --num-prompts "$((CONC * 10))" \
+    --max-concurrency "$CONC" \
+    --result-filename "$RESULT_FILENAME" \
+    --result-dir /workspace/
+
+# After throughput, run evaluation only if RUN_EVAL is true
+if [ "${RUN_EVAL}" = "true" ]; then
+    run_eval --framework lm-eval --port "$PORT" --concurrent-requests $CONC
+    append_lm_eval_summary
+fi
+set +x

perf-changelog.yaml

@@ -636,3 +636,11 @@
   description:
     - "Bump MI355X disagg FP8 recipe commit to fix perf regression on 8k1k DEP8"
   pr-link: https://github.com/InferenceMAX/InferenceMAX/pull/701
+
+- config-keys:
+    - qwen3.5-bf16-b200-sglang
+  description:
+    - "Add Qwen3.5-397B-A17B BF16 B200 SGLang benchmark"
+    - "Image: lmsysorg/sglang:nightly-dev-20260216-d3bae71e"
+    - "TP=8, concurrency 4-64 for 1k1k, 1k8k, and 8k1k sequence lengths"
+  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/704