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3 changes: 2 additions & 1 deletion benchmarks/single_node/fixed_seq_len/minimaxm3_fp8_mi355x.sh
Original file line number Diff line number Diff line change
Expand Up @@ -30,6 +30,7 @@ fi

SERVER_LOG=/workspace/server.log
export VLLM_ENGINE_READY_TIMEOUT_S=3600
export VLLM_USE_BREAKABLE_CUDAGRAPH=0

if [ "${EVAL_ONLY}" = "true" ]; then
setup_eval_context
Expand All @@ -52,11 +53,11 @@ set -x
vllm serve "$MODEL" --port "$PORT" \
"${PARALLEL_ARGS[@]}" \
--block-size 128 \
--no-enable-prefix-caching \
--language-model-only \
--max-model-len "$MAX_MODEL_LEN" \
--kv-cache-dtype fp8 \
--attention-backend TRITON_ATTN \
--enforce-eager \
--tool-call-parser minimax_m3 \
--reasoning-parser minimax_m3 \
--enable-auto-tool-choice > "$SERVER_LOG" 2>&1 &
Expand Down
6 changes: 6 additions & 0 deletions perf-changelog.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -3768,3 +3768,9 @@
- "Run the MiniMax-M3 MXFP8 MI300X EAGLE3 MTP recipe with CUDA graphs instead of --enforce-eager"
- "Drop --enforce-eager and set VLLM_USE_BREAKABLE_CUDAGRAPH=0 (matching the non-MTP MI300X recipe, #1750), which avoids the M3-decode breakable-cudagraph path that previously forced eager execution"
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1756

- config-keys:
- minimaxm3-fp8-mi355x-vllm
description:
- "Enable CUDA graphs for MiniMax-M3 MXFP8 on MI355X, set VLLM_USE_BREAKABLE_CUDAGRAPH=0, and disable prefix caching"
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1754
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