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Merged
kimbochen merged 1 commit into from
Sep 18, 2025
Merged

[NVIDIA] Added NV Docker Nodes #21

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17 changes: 8 additions & 9 deletions .github/workflows/runner-sweep-test.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -23,31 +23,30 @@ on:
type: choice
options:
- 'kedarpotdar147/vllm0.1:latest'
- 'kedarpotdar147/vllm:05'
- 'vllm/vllm-openai:v0.10.2'
- 'rocm/7.0-preview:rocm7.0_preview_ubuntu_22.04_vllm_0.10.1_instinct_rc1'
- 'rocm/vllm-dev:open-mi300-08052025'
- 'rocm/vllm-dev:open-mi355-08052025'
- 'lmsysorg/sglang:v0.4.9.post1-cu126'
- 'lmsysorg/sglang:v0.5.0rc1-cu128-b200'
- 'rocm/7.0-preview:rocm7.0_preview_ubuntu_22.04_sgl-dev-v0.5.2rc2-mi30x_rc1'
- 'nvcr.io#nvidia/tensorrt-llm/release:1.1.0rc2'
- 'nvcr.io#nvidia/tensorrt-llm/release:1.1.0rc2.post1'
- 'nvcr.io#nvidia/tensorrt-llm/release:1.1.0rc2.post2'
- 'rocm/7.0-preview:rocm7.0_preview_ubuntu_22.04_vllm_0.10.1_instinct_rc1'
- 'rocm/7.0-preview:rocm7.0_preview_ubuntu_22.04_sgl-dev-v0.5.2rc2-mi30x_rc1'
- 'rocm/vllm-dev:open-mi300-08052025'
- 'rocm/vllm-dev:open-mi355-08052025'
- 'vllm/vllm-openai:v0.10.2'

model:
description: 'Model'
required: true
type: choice
options:
- 'nvidia/Llama-3.3-70B-Instruct-FP8'
- 'nvidia/Llama-3.3-70B-Instruct-FP4'
- 'amd/DeepSeek-R1-0528-MXFP4-Preview'
- 'amd/Llama-3.3-70B-Instruct-FP8-KV'
- 'amd/Llama-3.3-70B-Instruct-MXFP4-Preview'
- 'deepseek-ai/DeepSeek-R1-0528'
- 'nvidia/Llama-3.3-70B-Instruct-FP8'
- 'nvidia/Llama-3.3-70B-Instruct-FP4'
- 'nvidia/DeepSeek-R1-0528-FP4'
- 'nvidia/DeepSeek-R1-0528-FP4-v2'
- 'amd/DeepSeek-R1-0528-MXFP4-Preview'
- 'openai/gpt-oss-120b'

framework:
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19 changes: 10 additions & 9 deletions .github/workflows/runner-test.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,8 @@ on:
- 'h200-nv_3'
- 'b200-nv_0'
- 'b200-nv_1'
- 'b200-nvd_0'
- 'b200-nvd_1'
- 'b200-tg_0'
- 'mi300x-amd_0'
- 'mi300x-amd_1'
Expand All @@ -46,31 +48,30 @@ on:
type: choice
options:
- 'kedarpotdar147/vllm0.1:latest'
- 'kedarpotdar147/vllm:05'
- 'vllm/vllm-openai:v0.10.2'
- 'rocm/7.0-preview:rocm7.0_preview_ubuntu_22.04_vllm_0.10.1_instinct_rc1'
- 'rocm/vllm-dev:open-mi300-08052025'
- 'rocm/vllm-dev:open-mi355-08052025'
- 'lmsysorg/sglang:v0.4.9.post1-cu126'
- 'lmsysorg/sglang:v0.5.0rc1-cu128-b200'
- 'rocm/7.0-preview:rocm7.0_preview_ubuntu_22.04_sgl-dev-v0.5.2rc2-mi30x_rc1'
- 'nvcr.io#nvidia/tensorrt-llm/release:1.1.0rc2'
- 'nvcr.io#nvidia/tensorrt-llm/release:1.1.0rc2.post1'
- 'nvcr.io#nvidia/tensorrt-llm/release:1.1.0rc2.post2'
- 'rocm/7.0-preview:rocm7.0_preview_ubuntu_22.04_vllm_0.10.1_instinct_rc1'
- 'rocm/7.0-preview:rocm7.0_preview_ubuntu_22.04_sgl-dev-v0.5.2rc2-mi30x_rc1'
- 'rocm/vllm-dev:open-mi300-08052025'
- 'rocm/vllm-dev:open-mi355-08052025'
- 'vllm/vllm-openai:v0.10.2'

model:
description: 'Model'
required: true
type: choice
options:
- 'nvidia/Llama-3.3-70B-Instruct-FP8'
- 'nvidia/Llama-3.3-70B-Instruct-FP4'
- 'amd/DeepSeek-R1-0528-MXFP4-Preview'
- 'amd/Llama-3.3-70B-Instruct-FP8-KV'
- 'amd/Llama-3.3-70B-Instruct-MXFP4-Preview'
- 'deepseek-ai/DeepSeek-R1-0528'
- 'nvidia/Llama-3.3-70B-Instruct-FP8'
- 'nvidia/Llama-3.3-70B-Instruct-FP4'
- 'nvidia/DeepSeek-R1-0528-FP4'
- 'nvidia/DeepSeek-R1-0528-FP4-v2'
- 'amd/DeepSeek-R1-0528-MXFP4-Preview'
- 'openai/gpt-oss-120b'

framework:
Expand Down
54 changes: 54 additions & 0 deletions runners/launch_b200-nvd.sh
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@@ -0,0 +1,54 @@
#!/usr/bin/bash

HF_HUB_CACHE_MOUNT="/raid/hf_hub_cache/"
PORT=8888

network_name="bmk-net"
server_name="bmk-server"
client_name="bmk-client"

docker network create $network_name

set -x
docker run --rm -d --network $network_name --name $server_name \
--runtime nvidia --gpus all --ipc host --privileged --shm-size=16g --ulimit memlock=-1 --ulimit stack=67108864 \
-v $HF_HUB_CACHE_MOUNT:$HF_HUB_CACHE \
-v $GITHUB_WORKSPACE:/workspace/ -w /workspace/ \
-e HF_TOKEN -e HF_HUB_CACHE -e MODEL -e TP -e CONC -e MAX_MODEL_LEN -e PORT=$PORT \
-e TORCH_CUDA_ARCH_LIST="10.0" -e CUDA_DEVICE_ORDER=PCI_BUS_ID -e CUDA_VISIBLE_DEVICES="0,1,2,3,4,5,6,7" \
--entrypoint=/bin/bash \
$IMAGE \
benchmarks/"${EXP_NAME%%_*}_${PRECISION}_b200_docker.sh"

set +x
while IFS= read -r line; do
printf '%s\n' "$line"
if [[ "$line" =~ Application\ startup\ complete ]]; then
break
fi
done < <(docker logs -f --tail=0 $server_name 2>&1)

git clone https://github.com/kimbochen/bench_serving.git

set -x
docker run --rm --network $network_name --name $client_name \
-v $GITHUB_WORKSPACE:/workspace/ -w /workspace/ \
-e HF_TOKEN -e PYTHONPYCACHEPREFIX=/tmp/pycache/ \
--entrypoint=/bin/bash \
$IMAGE \
-lc "pip install -q datasets pandas && \
python3 bench_serving/benchmark_serving.py \
--model $MODEL --backend vllm --base-url http://$server_name:$PORT \
--dataset-name random \
--random-input-len $ISL --random-output-len $OSL --random-range-ratio $RANDOM_RANGE_RATIO \
--num-prompts $(( $CONC * 10 )) \
--max-concurrency $CONC \
--request-rate inf --ignore-eos \
--save-result --percentile-metrics 'ttft,tpot,itl,e2el' \
--result-dir /workspace/ --result-filename $RESULT_FILENAME.json"

while [ -n "$(docker ps -aq)" ]; do
docker stop $server_name
docker network rm $network_name
sleep 5
done