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[NPU] Optimized the wording in the npu docs (#21998)

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amote-i
2026-04-03 11:51:40 +08:00
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parent efa7b2d5d3
commit 81efcc353a
3 changed files with 54 additions and 55 deletions
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docs/platforms/ascend/ascend_npu.md
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@@ -170,7 +170,7 @@ export SGLANG_SET_CPU_AFFINITY=1
python3 -m sglang.launch_server --model-path meta-llama/Llama-3.1-8B-Instruct --attention-backend ascend python3 -m sglang.launch_server --model-path meta-llama/Llama-3.1-8B-Instruct --attention-backend ascend
``` ```
#### PD Separation Scene #### PD Disaggregation Scene
1. Launch Prefill Server 1. Launch Prefill Server
```shell ```shell
# Enabling CPU Affinity # Enabling CPU Affinity
docs/platforms/ascend/ascend_npu_best_practice.md
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@@ -8,22 +8,22 @@ you encounter issues or have any questions, please [open an issue](https://githu
### Low Latency ### Low Latency
| Model | Hardware | Cards | Deploy Mode | Dataset | TPOT | Quantization | Configuration | | Model | Hardware | Cards | Deploy Mode | Dataset | TPOT | Quantization | Configuration |
|-------------------|---------------|-------|---------------|-----------|------|--------------|---------------------------------------------------------------------------------------| |-------------------|---------------|-------|-------------------|-----------|------|--------------|-------------------------------------------------------------------------------------------|
| Deepseek-R1 | Atlas 800I A3 | 32 | PD Separation | 6K+1.6K | 20ms | W8A8 INT8 | [Optimal Configuration](#deepseek-r1-6k-1_6k-20ms-on-a3-32-cards-separation-mode) | | Deepseek-R1 | Atlas 800I A3 | 32 | PD Disaggregation | 6K+1.6K | 20ms | W8A8 INT8 | [Optimal Configuration](#deepseek-r1-6k-1_6k-20ms-on-a3-32-cards-disaggregation-mode) |
| Deepseek-R1 | Atlas 800I A3 | 32 | PD Separation | 3.9K+1K | 20ms | W8A8 INT8 | [Optimal Configuration](#deepseek-r1-3_9k-1k-20ms-on-a3-32-cards-separation-mode) | | Deepseek-R1 | Atlas 800I A3 | 32 | PD Disaggregation | 3.9K+1K | 20ms | W8A8 INT8 | [Optimal Configuration](#deepseek-r1-3_9k-1k-20ms-on-a3-32-cards-disaggregation-mode) |
| Deepseek-R1 | Atlas 800I A3 | 32 | PD Separation | 3.5K+1.5K | 20ms | W8A8 INT8 | [Optimal Configuration](#deepseek-r1-3_5k-1_5k-20ms-on-a3-32-cards-separation-mode) | | Deepseek-R1 | Atlas 800I A3 | 32 | PD Disaggregation | 3.5K+1.5K | 20ms | W8A8 INT8 | [Optimal Configuration](#deepseek-r1-3_5k-1_5k-20ms-on-a3-32-cards-disaggregation-mode) |
| Deepseek-R1 | Atlas 800I A3 | 32 | PD Separation | 3.5K+1K | 20ms | W8A8 INT8 | [Optimal Configuration](#deepseek-r1-3_5k-1k-20ms-on-a3-32-cards-separation-mode) | | Deepseek-R1 | Atlas 800I A3 | 32 | PD Disaggregation | 3.5K+1K | 20ms | W8A8 INT8 | [Optimal Configuration](#deepseek-r1-3_5k-1k-20ms-on-a3-32-cards-disaggregation-mode) |
| DeepSeek-V3.2 | Atlas 800I A3 | 32 | PD Separation | 128K+1K | 20ms | W8A8 INT8 | [Optimal Configuration](#deepseek-v32-128k-1k-20ms-on-a3-32-cards-separation-mode) | | DeepSeek-V3.2 | Atlas 800I A3 | 32 | PD Disaggregation | 128K+1K | 20ms | W8A8 INT8 | [Optimal Configuration](#deepseek-v32-128k-1k-20ms-on-a3-32-cards-disaggregation-mode) |
### High Throughput ### High Throughput
| Model | Hardware | Cards | Deploy Mode | Dataset | TPOT | Quantization | Configuration | | Model | Hardware | Cards | Deploy Mode | Dataset | TPOT | Quantization | Configuration |
|-------------|---------------|-------|---------------|-----------|------|--------------|-------------------------------------------------------------------------------------| |-------------|---------------|-------|-------------------|-----------|------|--------------|-----------------------------------------------------------------------------------------|
| Deepseek-R1 | Atlas 800I A3 | 32 | PD Separation | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#deepseek-r1-3_5k-1_5k-50ms-on-a3-32-cards-separation-mode) | | Deepseek-R1 | Atlas 800I A3 | 32 | PD Disaggregation | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#deepseek-r1-3_5k-1_5k-50ms-on-a3-32-cards-disaggregation-mode) |
| Deepseek-R1 | Atlas 800I A3 | 8 | PD Mixed | 2K+2K | 50ms | W4A8 INT8 | [Optimal Configuration](#deepseek-r1-2k-2k-50ms-on-a3-8-cards-mixed-mode) | | Deepseek-R1 | Atlas 800I A3 | 8 | PD Mixed | 2K+2K | 50ms | W4A8 INT8 | [Optimal Configuration](#deepseek-r1-2k-2k-50ms-on-a3-8-cards-mixed-mode) |
| Deepseek-R1 | Atlas 800I A3 | 16 | PD Separation | 2K+2K | 50ms | W4A8 INT8 | [Optimal Configuration](#deepseek-r1-2k-2k-50ms-on-a3-16-cards-separation-mode) | | Deepseek-R1 | Atlas 800I A3 | 16 | PD Disaggregation | 2K+2K | 50ms | W4A8 INT8 | [Optimal Configuration](#deepseek-r1-2k-2k-50ms-on-a3-16-cards-disaggregation-mode) |
| Deepseek-R1 | Atlas 800I A3 | 8 | PD Mixed | 3.5K+1.5K | 50ms | W4A8 INT8 | [Optimal Configuration](#deepseek-r1-3_5k-1_5k-50ms-on-a3-8-cards-mixed-mode) | | Deepseek-R1 | Atlas 800I A3 | 8 | PD Mixed | 3.5K+1.5K | 50ms | W4A8 INT8 | [Optimal Configuration](#deepseek-r1-3_5k-1_5k-50ms-on-a3-8-cards-mixed-mode) |
| Deepseek-R1 | Atlas 800I A3 | 16 | PD Separation | 3.5K+1.5K | 50ms | W4A8 INT8 | [Optimal Configuration](#deepseek-r1-3_5k-1_5k-50ms-on-a3-16-cards-separation-mode) | | Deepseek-R1 | Atlas 800I A3 | 16 | PD Disaggregation | 3.5K+1.5K | 50ms | W4A8 INT8 | [Optimal Configuration](#deepseek-r1-3_5k-1_5k-50ms-on-a3-16-cards-disaggregation-mode) |
## Qwen Series Models ## Qwen Series Models
@@ -41,8 +41,8 @@ you encounter issues or have any questions, please [open an issue](https://githu
### High Throughput ### High Throughput
| Model | Hardware | Cards | Deploy Mode | Dataset | TPOT | Quantization | Configuration | | Model | Hardware | Cards | Deploy Mode | Dataset | TPOT | Quantization | Configuration |
|--------------------------------|---------------|-------|---------------|-----------|-------|--------------|--------------------------------------------------------------------------------------------------------| |--------------------------------|---------------|-------|-------------------|-----------|-------|--------------|------------------------------------------------------------------------------------------------------------|
| Qwen3-235B-A22B | Atlas 800I A3 | 24 | PD Separation | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-235b-a22b-3_5k-1_5k-50ms-on-a3-24-cards-separation-mode) | | Qwen3-235B-A22B | Atlas 800I A3 | 24 | PD Disaggregation | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-235b-a22b-3_5k-1_5k-50ms-on-a3-24-cards-disaggregation-mode) |
| Qwen3-235B-A22B | Atlas 800I A3 | 8 | PD Mixed | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-235b-a22b-3_5k-1_5k-50ms-on-a3-8-cards-mixed-mode) | | Qwen3-235B-A22B | Atlas 800I A3 | 8 | PD Mixed | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-235b-a22b-3_5k-1_5k-50ms-on-a3-8-cards-mixed-mode) |
| Qwen3-235B-A22B | Atlas 800I A3 | 8 | PD Mixed | 2K+2K | 100ms | W8A8 INT8 | [Optimal Configuration](#qwen3-235b-a22b-2k-2k-100ms-on-a3-8-cards-mixed-mode) | | Qwen3-235B-A22B | Atlas 800I A3 | 8 | PD Mixed | 2K+2K | 100ms | W8A8 INT8 | [Optimal Configuration](#qwen3-235b-a22b-2k-2k-100ms-on-a3-8-cards-mixed-mode) |
| Qwen3-235B-A22B | Atlas 800I A3 | 8 | PD Mixed | 2K+2K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-235b-a22b-2k-2k-50ms-on-a3-8-cards-mixed-mode) | | Qwen3-235B-A22B | Atlas 800I A3 | 8 | PD Mixed | 2K+2K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-235b-a22b-2k-2k-50ms-on-a3-8-cards-mixed-mode) |
@@ -50,7 +50,7 @@ you encounter issues or have any questions, please [open an issue](https://githu
| Qwen3-32B | Atlas 800I A3 | 2 | PD Mixed | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-32b-3_5k-1_5k-50ms-on-a3-2-cards-mixed-mode) | | Qwen3-32B | Atlas 800I A3 | 2 | PD Mixed | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-32b-3_5k-1_5k-50ms-on-a3-2-cards-mixed-mode) |
| Qwen3-32B | Atlas 800I A3 | 2 | PD Mixed | 2K+2K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-32b-2k-2k-50ms-on-a3-2-cards-mixed-mode) | | Qwen3-32B | Atlas 800I A3 | 2 | PD Mixed | 2K+2K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-32b-2k-2k-50ms-on-a3-2-cards-mixed-mode) |
| Qwen3-30B-A3B | Atlas 800I A3 | 1 | PD Mixed | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-30b-a3b-3_5k-1_5k-50ms-on-a3-1-card-mixed-mode) | | Qwen3-30B-A3B | Atlas 800I A3 | 1 | PD Mixed | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-30b-a3b-3_5k-1_5k-50ms-on-a3-1-card-mixed-mode) |
| Qwen3-Coder-480B-A35B-Instruct | Atlas 800I A3 | 24 | PD Separation | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-coder-480b-a35b-instruct-3_5k-1_5k-50ms-on-a3-24-cards-separation-mode) | | Qwen3-Coder-480B-A35B-Instruct | Atlas 800I A3 | 24 | PD Disaggregation | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-coder-480b-a35b-instruct-3_5k-1_5k-50ms-on-a3-24-cards-disaggregation-mode) |
| Qwen3-Coder-480B-A35B-Instruct | Atlas 800I A3 | 16 | PD Mixed | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-coder-480b-a35b-instruct-3_5k-1_5k-50ms-on-a3-16-cards-mixed-mode) | | Qwen3-Coder-480B-A35B-Instruct | Atlas 800I A3 | 16 | PD Mixed | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-coder-480b-a35b-instruct-3_5k-1_5k-50ms-on-a3-16-cards-mixed-mode) |
| Qwen3-Coder-480B-A35B-Instruct | Atlas 800I A3 | 8 | PD Mixed | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-coder-480b-a35b-instruct-3_5k-1_5k-50ms-on-a3-8-cards-mixed-mode) | | Qwen3-Coder-480B-A35B-Instruct | Atlas 800I A3 | 8 | PD Mixed | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-coder-480b-a35b-instruct-3_5k-1_5k-50ms-on-a3-8-cards-mixed-mode) |
| Qwen3-Next-80B-A3B-Instruct | Atlas 800I A3 | 2 | PD Mixed | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-next-80B-a3b-instruct-3_5k-1_5k-50ms-on-a3-2-cards-mixed-mode) | | Qwen3-Next-80B-A3B-Instruct | Atlas 800I A3 | 2 | PD Mixed | 3.5K+1.5K | 50ms | W8A8 INT8 | [Optimal Configuration](#qwen3-next-80B-a3b-instruct-3_5k-1_5k-50ms-on-a3-2-cards-mixed-mode) |
@@ -59,13 +59,13 @@ you encounter issues or have any questions, please [open an issue](https://githu
## Optimal Configuration ## Optimal Configuration
### DeepSeek-R1 3_5K-1_5K 50ms on A3 32 Cards Separation Mode ### DeepSeek-R1 3_5K-1_5K 50ms on A3 32 Cards Disaggregation Mode
Model: Deepseek R1 Model: Deepseek R1
Hardware: Atlas 800I A3 32Card Hardware: Atlas 800I A3 32Card
DeployMode: PD Separation DeployMode: PD Disaggregation
Dataset: random Dataset: random
@@ -177,13 +177,13 @@ We tested it based on the `RANDOM` dataset.
python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 6688 --max-concurrency 768 --random-input-len 3500 --random-output-len 1500 --num-prompts 3072 --random-range-ratio 1 --request-rate 16 python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 6688 --max-concurrency 768 --random-input-len 3500 --random-output-len 1500 --num-prompts 3072 --random-range-ratio 1 --request-rate 16
``` ```
### DeepSeek-R1 6K-1_6K 20ms on A3 32 Cards Separation Mode ### DeepSeek-R1 6K-1_6K 20ms on A3 32 Cards Disaggregation Mode
Model: Deepseek R1 Model: Deepseek R1
Hardware: Atlas 800I A3 32Card Hardware: Atlas 800I A3 32Card
DeployMode: PD Separation DeployMode: PD Disaggregation
Dataset: random Dataset: random
@@ -293,13 +293,13 @@ We tested it based on the `RANDOM` dataset.
python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 6688 --max-concurrency 32 --random-input-len 6000 --random-output-len 1600 --num-prompts 32 --random-range-ratio 1 python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 6688 --max-concurrency 32 --random-input-len 6000 --random-output-len 1600 --num-prompts 32 --random-range-ratio 1
``` ```
### DeepSeek-R1 3_9K-1K 20ms on A3 32 Cards Separation Mode ### DeepSeek-R1 3_9K-1K 20ms on A3 32 Cards Disaggregation Mode
Model: Deepseek R1 Model: Deepseek R1
Hardware: Atlas 800I A3 32Card Hardware: Atlas 800I A3 32Card
DeployMode: PD Separation DeployMode: PD Disaggregation
Dataset: random Dataset: random
@@ -309,7 +309,7 @@ TPOT: 20ms
#### Model Deployment #### Model Deployment
Please Turn to [DeepSeek-R1 6K-1_6K 20ms on A3 32 Cards Separation Mode](#deepseek-r1-6k-1_6k-20ms-on-a3-32-cards-separation-mode) Please Turn to [DeepSeek-R1 6K-1_6K 20ms on A3 32 Cards Disaggregation Mode](#deepseek-r1-6k-1_6k-20ms-on-a3-32-cards-disaggregation-mode)
#### Benchmark #### Benchmark
@@ -319,13 +319,13 @@ We tested it based on the `RANDOM` dataset.
python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 6688 --max-concurrency 768 --random-input-len 3900 --random-output-len 1000 --num-prompts 768 --random-range-ratio 1 --request-rate 16 python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 6688 --max-concurrency 768 --random-input-len 3900 --random-output-len 1000 --num-prompts 768 --random-range-ratio 1 --request-rate 16
``` ```
### DeepSeek-R1 3_5K-1_5K 20ms on A3 32 Cards Separation Mode ### DeepSeek-R1 3_5K-1_5K 20ms on A3 32 Cards Disaggregation Mode
Model: Deepseek R1 Model: Deepseek R1
Hardware: Atlas 800I A3 32Card Hardware: Atlas 800I A3 32Card
DeployMode: PD Separation DeployMode: PD Disaggregation
Dataset: random Dataset: random
@@ -335,7 +335,7 @@ TPOT: 20ms
#### Model Deployment #### Model Deployment
Please Turn to [DeepSeek-R1 6K-1_6K 20ms on A3 32 Cards Separation Mode](#deepseek-r1-6k-1_6k-20ms-on-a3-32-cards-separation-mode) Please Turn to [DeepSeek-R1 6K-1_6K 20ms on A3 32 Cards Disaggregation Mode](#deepseek-r1-6k-1_6k-20ms-on-a3-32-cards-disaggregation-mode)
#### Benchmark #### Benchmark
@@ -345,13 +345,13 @@ We tested it based on the `RANDOM` dataset.
python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 6688 --max-concurrency 768 --random-input-len 3500 --random-output-len 1500 --num-prompts 768 --random-range-ratio 1 --request-rate 16 python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 6688 --max-concurrency 768 --random-input-len 3500 --random-output-len 1500 --num-prompts 768 --random-range-ratio 1 --request-rate 16
``` ```
### DeepSeek-R1 3_5K-1K 20ms on A3 32 Cards Separation Mode ### DeepSeek-R1 3_5K-1K 20ms on A3 32 Cards Disaggregation Mode
Model: Deepseek R1 Model: Deepseek R1
Hardware: Atlas 800I A3 32Card Hardware: Atlas 800I A3 32Card
DeployMode: PD Separation DeployMode: PD Disaggregation
Dataset: random Dataset: random
@@ -361,7 +361,7 @@ TPOT: 20ms
#### Model Deployment #### Model Deployment
Please Turn to [DeepSeek-R1 6K-1_6K 20ms on A3 32 Cards Separation Mode](#deepseek-r1-6k-1_6k-20ms-on-a3-32-cards-separation-mode) Please Turn to [DeepSeek-R1 6K-1_6K 20ms on A3 32 Cards Disaggregation Mode](#deepseek-r1-6k-1_6k-20ms-on-a3-32-cards-disaggregation-mode)
#### Benchmark #### Benchmark
@@ -451,13 +451,13 @@ We tested it based on the `RANDOM` dataset.
python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 6699 --max-concurrency 256 --random-input-len 2048 --random-output-len 2048 --num-prompts 1024 --random-range-ratio 1 python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 6699 --max-concurrency 256 --random-input-len 2048 --random-output-len 2048 --num-prompts 1024 --random-range-ratio 1
``` ```
### DeepSeek-R1 2K-2K 50ms on A3 16 Cards Separation Mode ### DeepSeek-R1 2K-2K 50ms on A3 16 Cards Disaggregation Mode
Model: Deepseek R1 Model: Deepseek R1
Hardware: Atlas 800I A3 16Card Hardware: Atlas 800I A3 16Card
DeployMode: PD Separation DeployMode: PD Disaggregation
Dataset: random Dataset: random
@@ -652,13 +652,13 @@ We tested it based on the `RANDOM` dataset.
python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 6699 --max-concurrency 144 --random-input-len 3500 --random-output-len 1500 --num-prompts 576 --random-range-ratio 1 python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 6699 --max-concurrency 144 --random-input-len 3500 --random-output-len 1500 --num-prompts 576 --random-range-ratio 1
``` ```
### DeepSeek-R1 3_5K-1_5K 50ms on A3 16 Cards Separation Mode ### DeepSeek-R1 3_5K-1_5K 50ms on A3 16 Cards Disaggregation Mode
Model: Deepseek R1 Model: Deepseek R1
Hardware: Atlas 800I A3 16Card Hardware: Atlas 800I A3 16Card
DeployMode: PD Separation DeployMode: PD Disaggregation
Dataset: random Dataset: random
@@ -775,13 +775,13 @@ We tested it based on the `RANDOM` dataset.
python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 6688 --max-concurrency 384 --random-input-len 3500 --random-output-len 1500 --num-prompts 1536 --random-range-ratio 1 python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 6688 --max-concurrency 384 --random-input-len 3500 --random-output-len 1500 --num-prompts 1536 --random-range-ratio 1
``` ```
### DeepSeek-V3.2 128K-1K 20ms on A3 32 Cards Separation Mode ### DeepSeek-V3.2 128K-1K 20ms on A3 32 Cards Disaggregation Mode
Model: DeepSeek-V3.2-W8A8 Model: DeepSeek-V3.2-W8A8
Hardware: Atlas 800I A3 32Card Hardware: Atlas 800I A3 32Card
DeployMode: PD Separation DeployMode: PD Disaggregation
Dataset: random Dataset: random
@@ -931,13 +931,13 @@ We tested it based on the `RANDOM` dataset.
python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 6688 --max-concurrency 8 --random-input-len 131076 --random-output-len 1024 --num-prompts 8 --random-range-ratio 1 python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 6688 --max-concurrency 8 --random-input-len 131076 --random-output-len 1024 --num-prompts 8 --random-range-ratio 1
``` ```
### Qwen3-235B-A22B 3_5K-1_5K 50ms on A3 24 Cards Separation Mode ### Qwen3-235B-A22B 3_5K-1_5K 50ms on A3 24 Cards Disaggregation Mode
Model: Qwen3-235B-A22B-W8A8 Model: Qwen3-235B-A22B-W8A8
Hardware: Atlas 800I A3 24Card Hardware: Atlas 800I A3 24Card
DeployMode: PD Separation DeployMode: PD Disaggregation
Dataset: random Dataset: random
@@ -1860,13 +1860,13 @@ We tested it based on the `RANDOM` dataset.
python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 7239 --max-concurrency 156 --random-input-len 3500 --random-output-len 1500 --num-prompts 624 --random-range-ratio 1 python -m sglang.bench_serving --dataset-name random --backend sglang --host 127.0.0.1 --port 7239 --max-concurrency 156 --random-input-len 3500 --random-output-len 1500 --num-prompts 624 --random-range-ratio 1
``` ```
### Qwen3-Coder-480B-A35B-Instruct 3_5K-1_5K 50ms on A3 24 Cards Separation Mode ### Qwen3-Coder-480B-A35B-Instruct 3_5K-1_5K 50ms on A3 24 Cards Disaggregation Mode
Model: Qwen3-Coder-480B-A35B-Instruct Model: Qwen3-Coder-480B-A35B-Instruct
Hardware: Atlas 800I A3 24Card Hardware: Atlas 800I A3 24Card
DeployMode: PD Separation DeployMode: PD Disaggregation
Dataset: random Dataset: random
docs/platforms/ascend/ascend_npu_support_features.md
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@@ -104,7 +104,6 @@ click [Server Arguments](https://docs.sglang.io/advanced_features/server_argumen
| `--base-gpu-id` | `0` | Type: int | A2, A3 | | `--base-gpu-id` | `0` | Type: int | A2, A3 |
| `--gpu-id-step` | `1` | Type: int | A2, A3 | | `--gpu-id-step` | `1` | Type: int | A2, A3 |
| `--sleep-on-idle` | `False` | bool flag (set to enable) | A2, A3 | | `--sleep-on-idle` | `False` | bool flag (set to enable) | A2, A3 |
| `--custom-sigquit-handler` | `None` | Optional[Callable] | A2, A3 |
## Logging ## Logging