add mimo best practice (#27665)

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ming_wang
2026-06-11 10:15:31 +08:00
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parent 475e9d25bf
commit ce0ff154a5
@@ -776,6 +776,106 @@ you encounter issues or have any questions, please [open an issue](https://githu
</tbody>
</table>
## MiMo-V2-Flash Series Models
### Low Latency
<table style={{width: "100%", borderCollapse: "collapse", tableLayout: "fixed"}}>
<colgroup>
<col style={{width: "13%"}} />
<col style={{width: "13%"}} />
<col style={{width: "13%"}} />
<col style={{width: "13%"}} />
<col style={{width: "12%"}} />
<col style={{width: "12%"}} />
<col style={{width: "12%"}} />
<col style={{width: "12%"}} />
</colgroup>
<thead>
<tr style={{borderBottom: "2px solid #d55816"}}>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>Model</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>Hardware</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>Cards</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>Deploy Mode</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>Dataset</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>TTFT</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>Quantization</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>Configuration</th>
</tr>
</thead>
<tbody>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>MiMo-V2-Flash</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>Atlas 800I A3</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>24</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>PD Disaggregation</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>16K+1</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>974ms</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>W8A8 INT8</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><a href="#mimo-v2-flash-16k-1-974ms-on-a3-24-cards-disaggregation-mode">Optimal Configuration</a></td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>MiMo-V2-Flash</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>Atlas 800I A3</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>24</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>PD Disaggregation</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>32K+1</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>2,147ms</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>W8A8 INT8</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><a href="#mimo-v2-flash-32k-1-2147ms-on-a3-24-cards-disaggregation-mode">Optimal Configuration</a></td>
</tr>
</tbody>
</table>
### High Throughput
<table style={{width: "100%", borderCollapse: "collapse", tableLayout: "fixed"}}>
<colgroup>
<col style={{width: "13%"}} />
<col style={{width: "13%"}} />
<col style={{width: "13%"}} />
<col style={{width: "13%"}} />
<col style={{width: "12%"}} />
<col style={{width: "12%"}} />
<col style={{width: "12%"}} />
<col style={{width: "12%"}} />
</colgroup>
<thead>
<tr style={{borderBottom: "2px solid #d55816"}}>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>Model</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>Hardware</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>Cards</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>Deploy Mode</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>Dataset</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>TPOT</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.02)"}}>Quantization</th>
<th style={{textAlign: "left", padding: "10px 12px", fontWeight: 700, whiteSpace: "nowrap", backgroundColor: "rgba(255,255,255,0.05)"}}>Configuration</th>
</tr>
</thead>
<tbody>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>MiMo-V2-Flash</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>Atlas 800I A3</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>24</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>PD Disaggregation</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>16K+1K</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>16ms</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>W8A8 INT8</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><a href="#mimo-v2-flash-16k-1k-16ms-on-a3-24-cards-disaggregation-mode">Optimal Configuration</a></td>
</tr>
<tr>
<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}>MiMo-V2-Flash</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>Atlas 800I A3</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>24</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>PD Disaggregation</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>32K+1K</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}>12ms</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>W8A8 INT8</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><a href="#mimo-v2-flash-32k-1k-12ms-on-a3-24-cards-disaggregation-mode">Optimal Configuration</a></td>
</tr>
</tbody>
</table>
## Kimi Series Models
### Low Latency
@@ -6655,3 +6755,229 @@ We tested it based on the `RANDOM` dataset (90% cache hit), this dataset is gene
```bash Command
python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 8003 --random-range-ratio 1 --random-output-len 1000 --random-input-len 131072 --num-prompts 192
```
### MiMo-V2-Flash 16K+1 974ms on A3 24 Cards Disaggregation Mode
**Model:** MiMo-V2-Flash
**Hardware:** Atlas 800I A3 24 Cards (8 cards for prefill node, 16 cards for decode node)
**Deploy Mode:** PD Disaggregation
**Dataset:** random
**Input/Output Length:** 16K+1
**TTFT:** 974ms (P99: 2,068ms)
**Quantization:** W8A8 INT8
#### Model Deployment
**Prefill Node:**
```bash
# High performance CPU configuration
echo performance | tee /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor
sysctl -w vm.swappiness=0
sysctl -w kernel.numa_balancing=0
sysctl -w kernel.sched_migration_cost_ns=50000
# Bind CPU
export SGLANG_SET_CPU_AFFINITY=1
# Proxy settings (unset if needed)
unset https_proxy
unset http_proxy
unset HTTPS_PROXY
unset HTTP_PROXY
unset ASCEND_LAUNCH_BLOCKING
# Performance environment variables
export STREAMS_PER_DEVICE=32
export SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK=32
export HCCL_BUFFSIZE=1024
export HCCL_OP_EXPANSION_MODE=AIV
export HCCL_SOCKET_IFNAME=lo
export GLOO_SOCKET_IFNAME=lo
export SGLANG_NPU_PROFILING=0
export SGLANG_NPU_PROFILING_STAGE="prefill"
export DEEPEP_NORMAL_LONG_SEQ_ROUND=32
export DEEPEP_NORMAL_LONG_SEQ_PER_ROUND_TOKENS=3584
export ASCEND_MF_STORE_URL="tcp://<PREFILL_IP>:24669"
export SGLANG_DISAGGREGATION_BOOTSTRAP_TIMEOUT=3600
export SGLANG_DISAGGREGATION_WAITING_TIMEOUT=3600
export SGLANG_ENABLE_SPEC_V2=1
export SGLANG_ENABLE_OVERLAP_PLAN_STREAM=0
export DEEP_NORMAL_MODE_USE_INT8_QUANT=1
export SGLANG_DEEPEP_BF16_DISPATCH=0
export SGLANG_DISAGGREGATION_FORCE_QUERY_PREFILL_DP_RANK=1
export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
export HCCL_CONNECT_TIMEOUT=1800
export ASCEND_USE_FIA=1
# Launch prefill server
python3 -m sglang.launch_server \
--model-path /path/to/MiMo-V2-Flash-w8a8-all-0512 \
--attention-backend ascend \
--device npu \
--tp-size 8 --nnodes 1 --node-rank 0 \
--chunked-prefill-size 8192 \
--trust-remote-code --port 10000 \
--host <PREFILL_IP> --max-running-requests 64 \
--mem-fraction-static 0.8 \
--swa-full-tokens-ratio 0.3 \
--disaggregation-mode prefill --disaggregation-transfer-backend ascend \
--disaggregation-bootstrap-port 8996 \
--disable-radix-cache \
--disable-cuda-graph \
--disable-piecewise-cuda-graph \
--dp-size 2
```
**Decode Node:**
```bash
# High performance CPU configuration
echo performance | tee /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor
sysctl -w vm.swappiness=0
sysctl -w kernel.numa_balancing=0
sysctl -w kernel.sched_migration_cost_ns=50000
# Bind CPU
export SGLANG_SET_CPU_AFFINITY=1
# Proxy settings (unset if needed)
unset https_proxy
unset http_proxy
unset HTTPS_PROXY
unset HTTP_PROXY
unset ASCEND_LAUNCH_BLOCKING
# Performance environment variables
export STREAMS_PER_DEVICE=32
export SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK=128
export HCCL_BUFFSIZE=800
export HCCL_OP_EXPANSION_MODE=AIV
export HCCL_SOCKET_IFNAME=lo
export GLOO_SOCKET_IFNAME=lo
export SGLANG_NPU_PROFILING=0
export SGLANG_NPU_PROFILING_STAGE="prefill"
export DEEPEP_NORMAL_LONG_SEQ_ROUND=32
export DEEPEP_NORMAL_LONG_SEQ_PER_ROUND_TOKENS=3584
export ASCEND_MF_STORE_URL="tcp://<PREFILL_IP>:24669"
export SGLANG_DISAGGREGATION_BOOTSTRAP_TIMEOUT=3600
export SGLANG_DISAGGREGATION_WAITING_TIMEOUT=3600
export SGLANG_ENABLE_SPEC_V2=1
export SGLANG_ENABLE_OVERLAP_PLAN_STREAM=0
export DEEP_NORMAL_MODE_USE_INT8_QUANT=1
export SGLANG_DEEPEP_BF16_DISPATCH=0
export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
export HCCL_CONNECT_TIMEOUT=1800
export SGLANG_PROFILE_WITH_STACK=True
export ASCEND_USE_FIA=1
# Launch decode server
python3 -m sglang.launch_server \
--model-path /path/to/MiMo-V2-Flash-w8a8-all-0512/ \
--attention-backend ascend \
--device npu \
--tp-size 16 --nnodes 1 --node-rank 0 \
--trust-remote-code --port 10001 \
--host <DECODE_IP> --max-running-requests 64 \
--mem-fraction-static 0.8 \
--swa-full-tokens-ratio 0.3 \
--cuda-graph-bs 1 2 4 8 12 16 20 24 28 32 \
--disaggregation-mode decode --disaggregation-transfer-backend ascend \
--disaggregation-bootstrap-port 8996 \
--speculative-algorithm EAGLE --speculative-num-steps 3 --speculative-eagle-topk 1 --speculative-num-draft-tokens 4 \
--enable-multi-layer-eagle \
--disable-radix-cache \
--dp-size 2 --enable-dp-attention --enable-dp-lm-head \
--moe-a2a-backend deepep --deepep-mode low_latency
```
**Router:**
```bash
python -m sglang_router.launch_router \
--pd-disaggregation \
--prefill http://<PREFILL_IP>:10000 \
--decode http://<DECODE_IP>:10001 \
--host <ROUTER_IP> \
--port 9903 \
--health-check-interval-secs 3600 \
--mini-lb
```
#### Benchmark
We tested it based on the `RANDOM` dataset with throughput focus (infinite request rate).
```bash
python3 -m sglang.bench_serving --backend sglang --host <ROUTER_IP> --port 9903 --dataset-path /path/to/ShareGPT_V3_unfiltered_cleaned_split.json --dataset-name random --random-input-len 16000 --random-output-len 1 --request-rate inf --random-range-ratio 1 --num-prompts 128 --max-concurrency 64
```
### MiMo-V2-Flash 32K+1 2,147ms on A3 24 Cards Disaggregation Mode
**Model:** MiMo-V2-Flash
**Hardware:** Atlas 800I A3 24 Cards (8 cards for prefill node, 16 cards for decode node)
**Deploy Mode:** PD Disaggregation
**Dataset:** random
**Input/Output Length:** 32K+1
**TTFT:** 2,147ms (P99: 4,546ms)
**Quantization:** W8A8 INT8
#### Model Deployment
Same deployment configuration as [MiMo-V2-Flash 16K+1 974ms](#mimo-v2-flash-16k-1-974ms-on-a3-24-cards-disaggregation-mode).
### MiMo-V2-Flash 16K+1K 16ms on A3 24 Cards Disaggregation Mode
**Model:** MiMo-V2-Flash
**Hardware:** Atlas 800I A3 24 Cards (8 cards for prefill node, 16 cards for decode node)
**Deploy Mode:** PD Disaggregation
**Dataset:** random
**Input/Output Length:** 16K+1K
**TTFT:** 11,326ms (P99: 28,160ms)
**TPOT:** 16ms (P99: 23ms)
**Quantization:** W8A8 INT8
#### Model Deployment
Same deployment configuration as [MiMo-V2-Flash 16K+1 974ms](#mimo-v2-flash-16k-1-974ms-on-a3-24-cards-disaggregation-mode).
### MiMo-V2-Flash 32K+1K 12ms on A3 24 Cards Disaggregation Mode
**Model:** MiMo-V2-Flash
**Hardware:** Atlas 800I A3 24 Cards (8 cards for prefill node, 16 cards for decode node)
**Deploy Mode:** PD Disaggregation
**Dataset:** random
**Input/Output Length:** 32K+1K
**TTFT:** 35,144ms (P99: 55,004ms)
**TPOT:** 12ms (P99: 17ms)
**Quantization:** W8A8 INT8
#### Model Deployment
Same deployment configuration as [MiMo-V2-Flash 16K+1 974ms](#mimo-v2-flash-16k-1-974ms-on-a3-24-cards-disaggregation-mode).