From b2b0f785840b12f5d33a919b1525da9a7d8fce28 Mon Sep 17 00:00:00 2001 From: Ankur-singh Date: Wed, 15 Apr 2026 18:28:12 -0700 Subject: [PATCH] Add B300 config: qwen3.5-fp8-sglang-mtp --- .github/configs/nvidia-master.yaml | 19 ++++ .github/workflows/benchmark-tmpl.yml | 2 +- .../single_node/qwen3.5_fp8_b300_mtp.sh | 87 +++++++++++++++++++ perf-changelog.yaml | 9 ++ runners/launch_b300-nv.sh | 25 ++++++ 5 files changed, 141 insertions(+), 1 deletion(-) create mode 100644 benchmarks/single_node/qwen3.5_fp8_b300_mtp.sh diff --git a/.github/configs/nvidia-master.yaml b/.github/configs/nvidia-master.yaml index 27ee51eef..ae7785f65 100644 --- a/.github/configs/nvidia-master.yaml +++ b/.github/configs/nvidia-master.yaml @@ -1863,6 +1863,25 @@ qwen3.5-fp8-b200-sglang-mtp: search-space: - { tp: 4, ep: 1, conc-start: 4, conc-end: 256, spec-decoding: mtp } + +qwen3.5-fp8-b300-sglang-mtp: + image: lmsysorg/sglang:v0.5.10.post1-cu130 + model: Qwen/Qwen3.5-397B-A17B-FP8 + model-prefix: qwen3.5 + runner: b300 + precision: fp8 + framework: sglang + multinode: false + seq-len-configs: + - isl: 1024 + osl: 1024 + search-space: + - { tp: 4, ep: 1, conc-start: 4, conc-end: 256, spec-decoding: mtp } + - isl: 8192 + osl: 1024 + search-space: + - { tp: 4, ep: 1, conc-start: 4, conc-end: 256, spec-decoding: mtp } + kimik2.5-int4-b200-vllm: image: vllm/vllm-openai:v0.15.1 model: moonshotai/Kimi-K2.5 diff --git a/.github/workflows/benchmark-tmpl.yml b/.github/workflows/benchmark-tmpl.yml index 05ab23ef8..d5a6cc1f4 100644 --- a/.github/workflows/benchmark-tmpl.yml +++ b/.github/workflows/benchmark-tmpl.yml @@ -116,7 +116,7 @@ jobs: # Cleanup SLURM resources if command -v squeue >/dev/null 2>&1; then - if [[ "${{ runner.name }}" == mi355x-amds* || "${{ runner.name }}" == mi325x-amd* || "${{ runner.name }}" == mi300x-amds* || "${{ runner.name }}" == gb200-nv* || "${{ runner.name }}" == gb300-nv* || "${{ runner.name }}" == h100-cw* || "${{ runner.name }}" == h200-cw* || "${{ runner.name }}" == b200-nb* || "${{ runner.name }}" == h200-nb* || "${{ runner.name }}" == h100-dgxc-slurm* || "${{ runner.name }}" == h200-dgxc-slurm* || "${{ runner.name }}" == b200-dgxc-slurm* ]]; then + if [[ "${{ runner.name }}" == mi355x-amds* || "${{ runner.name }}" == mi325x-amd* || "${{ runner.name }}" == mi300x-amds* || "${{ runner.name }}" == gb200-nv* || "${{ runner.name }}" == gb300-nv* || "${{ runner.name }}" == h100-cw* || "${{ runner.name }}" == h200-cw* || "${{ runner.name }}" == b200-nb* || "${{ runner.name }}" == h200-nb* || "${{ runner.name }}" == h100-dgxc-slurm* || "${{ runner.name }}" == h200-dgxc-slurm* || "${{ runner.name }}" == b200-dgxc-slurm* || "${{ runner.name }}" == b300-nv* ]]; then echo "[Slurm] Cleaning up jobs with name: ${{ runner.name }} ..." scancel --name="${{ runner.name }}" || true while [ -n "$(squeue --name='${{ runner.name }}' --noheader --format='%i')" ]; do diff --git a/benchmarks/single_node/qwen3.5_fp8_b300_mtp.sh b/benchmarks/single_node/qwen3.5_fp8_b300_mtp.sh new file mode 100644 index 000000000..a0c5f4828 --- /dev/null +++ b/benchmarks/single_node/qwen3.5_fp8_b300_mtp.sh @@ -0,0 +1,87 @@ +#!/usr/bin/env bash + +source "$(dirname "$0")/../benchmark_lib.sh" + +check_env_vars \ + MODEL \ + TP \ + CONC \ + ISL \ + OSL \ + RANDOM_RANGE_RATIO \ + RESULT_FILENAME \ + EP_SIZE + +if [[ -n "$SLURM_JOB_ID" ]]; then + echo "JOB $SLURM_JOB_ID running on $SLURMD_NODENAME" +fi + +nvidia-smi + +SERVER_LOG=/workspace/server.log +PORT=${PORT:-8888} + +CONTEXT_LENGTH=$((ISL + OSL + 20)) +if [ "${EVAL_ONLY}" = "true" ]; then + setup_eval_context + CONTEXT_LENGTH="$EVAL_MAX_MODEL_LEN" +fi + +# Start GPU monitoring (power, temperature, clocks every second) +start_gpu_monitor + +set -x +SGLANG_ENABLE_SPEC_V2=1 PYTHONNOUSERSITE=1 python3 -m sglang.launch_server --model-path=$MODEL --host=0.0.0.0 --port=$PORT \ +--trust-remote-code \ +--tensor-parallel-size=$TP --data-parallel-size=1 --expert-parallel-size=$EP_SIZE \ +--enable-symm-mem \ +--disable-radix-cache \ +--quantization fp8 \ +--kv-cache-dtype fp8_e4m3 \ +--mamba-ssm-dtype bfloat16 \ +--attention-backend trtllm_mha \ +--moe-runner-backend flashinfer_trtllm \ +--cuda-graph-max-bs $CONC \ +--max-running-requests $CONC \ +--max-prefill-tokens 16384 \ +--chunked-prefill-size 16384 \ +--mem-fraction-static 0.8 \ +--stream-interval 50 \ +--scheduler-recv-interval 10 \ +--tokenizer-worker-num 6 \ +--tokenizer-path $MODEL \ +--speculative-algorithm EAGLE \ +--speculative-num-steps 3 \ +--speculative-eagle-topk 1 \ +--speculative-num-draft-tokens 4 \ +--context-length $CONTEXT_LENGTH > $SERVER_LOG 2>&1 & + +SERVER_PID=$! + +# 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 "$RESULT_FILENAME" \ + --result-dir /workspace/ \ + --use-chat-template + +# After throughput, run evaluation only if RUN_EVAL is true +if [ "${RUN_EVAL}" = "true" ]; then + run_eval --framework lm-eval --port "$PORT" + append_lm_eval_summary +fi + +# Stop GPU monitoring +stop_gpu_monitor +set +x diff --git a/perf-changelog.yaml b/perf-changelog.yaml index 6721dbb1e..0cfb71883 100644 --- a/perf-changelog.yaml +++ b/perf-changelog.yaml @@ -1358,3 +1358,12 @@ description: - "Enable SGLANG_ENABLE_SPEC_V2=1 for Qwen3.5 FP8 H200 SGLang MTP" pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1017 + +- config-keys: + - qwen3.5-fp8-b300-sglang-mtp + description: + - "Add Qwen3.5-397B-A17B-FP8 B300 SGLang MTP benchmark" + - "Image: lmsysorg/sglang:v0.5.10.post1-cu130" + - "EAGLE speculative decoding with MTP, TP=4, concurrency 4-256 for 1k1k and 8k1k" + pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/XXX + diff --git a/runners/launch_b300-nv.sh b/runners/launch_b300-nv.sh index 68da9f2b7..4bb623780 100644 --- a/runners/launch_b300-nv.sh +++ b/runners/launch_b300-nv.sh @@ -6,6 +6,8 @@ SLURM_ACCOUNT="benchmark" set -x +if [[ "$IS_MULTINODE" == "true" ]]; then + # Validate framework if [[ $FRAMEWORK != "dynamo-sglang" && $FRAMEWORK != "dynamo-trt" ]]; then echo "Unsupported framework: $FRAMEWORK. Supported frameworks are: dynamo-trt, dynamo-sglang" @@ -211,3 +213,26 @@ for i in 1 2 3 4 5; do sleep 10 done find . -name '.nfs*' -delete 2>/dev/null || true + +else + + HF_HUB_CACHE_MOUNT="/scratch/models" + export MODEL="/scratch/models/${MODEL#*/}" + SQUASH_FILE="/data/squash/$(echo "$IMAGE" | sed 's/[\/:@#]/_/g').sqsh" + FRAMEWORK_SUFFIX=$([[ "$FRAMEWORK" == "trt" ]] && printf '_trt' || printf '') + SPEC_SUFFIX=$([[ "$SPEC_DECODING" == "mtp" ]] && printf '_mtp' || printf '') + + salloc --partition=$SLURM_PARTITION --account=$SLURM_ACCOUNT --gres=gpu:$TP --exclusive --time=180 --no-shell --job-name="$RUNNER_NAME" + JOB_ID=$(squeue --name="$RUNNER_NAME" -u "$USER" -h -o %A | head -n1) + + srun --jobid=$JOB_ID bash -c "enroot import -o $SQUASH_FILE docker://$IMAGE" + + srun --jobid=$JOB_ID \ + --container-image=$SQUASH_FILE \ + --container-mounts=$GITHUB_WORKSPACE:/workspace/,$HF_HUB_CACHE_MOUNT:$HF_HUB_CACHE_MOUNT \ + --no-container-mount-home \ + --container-workdir=/workspace/ \ + --no-container-entrypoint --export=ALL,PORT=8888 \ + bash benchmarks/single_node/${EXP_NAME%%_*}_${PRECISION}_b300${FRAMEWORK_SUFFIX}${SPEC_SUFFIX}.sh + +fi