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12 changes: 10 additions & 2 deletions benchmarks/single_node/fixed_seq_len/minimaxm2.5_fp8_h200.sh
Original file line number Diff line number Diff line change
Expand Up @@ -42,6 +42,14 @@ else
EP=()
fi

if [ "$ISL" = "8192" ]; then
ATTN_BACKEND="FLASH_ATTN"
AUTOTUNE_FLAG=()
else
ATTN_BACKEND="FLASHINFER"
AUTOTUNE_FLAG=(--enable-flashinfer-autotune)
fi

# Start GPU monitoring (power, temperature, clocks every second)
start_gpu_monitor

Expand All @@ -55,8 +63,8 @@ vllm serve "$MODEL" --port "$PORT" \
--max-num-batched-tokens "$MAX_NUM_BATCHED_TOKENS" \
--kv-cache-dtype fp8 \
--moe-backend triton \
--attention-backend FLASHINFER \
--enable-flashinfer-autotune \
--attention-backend "$ATTN_BACKEND" \
"${AUTOTUNE_FLAG[@]}" \
--compilation-config "$COMPILATION_CONFIG" \
--no-enable-prefix-caching \
--trust-remote-code > "$SERVER_LOG" 2>&1 &
Expand Down
7 changes: 7 additions & 0 deletions perf-changelog.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -3474,3 +3474,10 @@
- "Use scheduler-recv-interval values 2/60/30/1200/600/1920 for conc 1-4/8/16/32/64/128-256"
- "Set max-running-requests=256, chunked-prefill-size=16384, mem-fraction-static=0.8, cuda-graph-max-bs=CONC, and enable symm-mem"
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1544

- config-keys:
- minimaxm2.5-fp8-h200-vllm
description:
- "Switch attention backend from FLASHINFER to FLASH_ATTN for the 8k/1k cell of MiniMax-M2.5 FP8 H200 vLLM."
- "1k/1k cell not changed in this PR: at 1k/1k all three measured configs."
pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1668