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5 changes: 1 addition & 4 deletions conf/experimental/ai_dynamo/test/sglang.toml
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@ extra_container_mounts = ["/run/udev:/run/udev"]
dse_excluded_args = ["cmd_args.aiperf_phases"]

[cmd_args]
docker_image_url = "nvcr.io/nvidia/ai-dynamo/sglang-runtime:1.1.1"
docker_image_url = "nvcr.io/nvidia/ai-dynamo/sglang-runtime:1.3.1"
workloads = "aiperf.sh"

[cmd_args.dynamo]
Expand All @@ -40,7 +40,6 @@ workloads = "aiperf.sh"
page-size = 16
tensor-parallel-size = 1
pipeline-parallel-size = 1
disaggregation-mode = "prefill"
disaggregation-bootstrap-port = 12345
host = "0.0.0.0"
port = 40000
Expand All @@ -56,7 +55,6 @@ workloads = "aiperf.sh"
page-size = 16
tensor-parallel-size = 1
pipeline-parallel-size = 1
disaggregation-mode = "decode"
disaggregation-bootstrap-port = 12345
host = "0.0.0.0"
disaggregation-transfer-backend = "nixl"
Expand Down Expand Up @@ -127,7 +125,6 @@ UCX_LOG_LEVEL = "warn"
HF_HUB_OFFLINE = "0"
TRANSFORMERS_OFFLINE = "0"
HF_DATASETS_OFFLINE = "0"
DYNAMO_NODELIST = "$(scontrol show hostname $SLURM_JOB_NODELIST | tr -s '\\n' ',')"
UCX_TLS = "all"
#DYN_LOGGING_JSONL="true"
#OTEL_EXPORT_ENABLED="1"
Expand Down
6 changes: 3 additions & 3 deletions conf/experimental/ai_dynamo/test/vllm.toml
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@ extra_container_mounts = ["/run/udev:/run/udev"]
dse_excluded_args = ["cmd_args.aiperf_phases"]

[cmd_args]
docker_image_url = "nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.1.1"
docker_image_url = "nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.3.1"

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please keep the existing configs as is. only add new scenarios pointing to the existing test tomls, overriding specific values

workloads = "aiperf.sh"

[cmd_args.dynamo]
Expand All @@ -31,7 +31,7 @@ workloads = "aiperf.sh"

[cmd_args.dynamo.prefill_worker]
num-nodes = 1
cmd = 'python3 -m dynamo.vllm --is-prefill-worker'
cmd = 'python3 -m dynamo.vllm'
worker-initialized-regex = 'VllmWorker.*has.been.initialized'
extra-args = "--no-enable-expert-parallel"

Expand Down Expand Up @@ -75,6 +75,7 @@ workloads = "aiperf.sh"
concurrency = 2

[cmd_args.aiperf]
setup-cmd = "python -m pip install --break-system-packages --ignore-installed blinker==1.9.0 && python -m pip install --break-system-packages --upgrade aiperf==0.8.0"
health-check-between-phases = true
continue-on-phase-failure = false
[cmd_args.aiperf.args]
Expand Down Expand Up @@ -125,5 +126,4 @@ UCX_LOG_LEVEL = "warn"
HF_HUB_OFFLINE = "0"
TRANSFORMERS_OFFLINE = "0"
HF_DATASETS_OFFLINE = "0"
DYNAMO_NODELIST = "$(scontrol show hostname $SLURM_JOB_NODELIST | tr -s '\\n' ',')"
UCX_TLS = "all"
Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@ extra_container_mounts = ["/run/udev:/run/udev"]
dse_excluded_args = ["cmd_args.aiperf_phases"]

[Tests.cmd_args]
docker_image_url = "nvcr.io/nvidia/ai-dynamo/sglang-runtime:1.1.1"
docker_image_url = "nvcr.io/nvidia/ai-dynamo/sglang-runtime:1.3.1"
workloads = "aiperf.sh"

[Tests.cmd_args.hicache.plugin.posix]
Expand All @@ -52,7 +52,6 @@ dse_excluded_args = ["cmd_args.aiperf_phases"]
page-size = 64
tensor-parallel-size = 1
pipeline-parallel-size = 1
disaggregation-mode = "prefill"
disaggregation-bootstrap-port = 12345
disaggregation-transfer-backend = "nixl"
host = "0.0.0.0"
Expand All @@ -74,7 +73,6 @@ dse_excluded_args = ["cmd_args.aiperf_phases"]
page-size = 64
tensor-parallel-size = 1
pipeline-parallel-size = 1
disaggregation-mode = "decode"
disaggregation-bootstrap-port = 12345
disaggregation-transfer-backend = "nixl"
host = "0.0.0.0"
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,48 @@
# SPDX-FileCopyrightText: NVIDIA CORPORATION & AFFILIATES
# Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

name = "dynamo-sglang-multinode-worker-slurm"
job_status_check = false

[[Tests]]
id = "test.disagg.multinode-worker"
test_name = "sglang"
time_limit = "00:20:00"

[Tests.cmd_args]
[Tests.cmd_args.dynamo]
model = "Qwen/Qwen3-0.6B"
node-setup-cmd = "hostname"

# Work around the known SGLang multi-node TP overlap-scheduler hang:
# https://github.com/sgl-project/sglang/issues/26454
[Tests.cmd_args.dynamo.prefill_worker]
num-nodes = 2
nodes-per-worker = 2
extra-args = "--trust-remote-code --skip-tokenizer-init --enable-metrics --disable-overlap-schedule"

[Tests.cmd_args.dynamo.prefill_worker.args]
tensor-parallel-size = 8

# Work around the known SGLang multi-node TP CUDA graph replay hang:
# https://github.com/sgl-project/sglang/issues/29548
[Tests.cmd_args.dynamo.decode_worker]
num-nodes = 2
nodes-per-worker = 2
extra-args = "--trust-remote-code --skip-tokenizer-init --enable-metrics --disable-overlap-schedule --disable-cuda-graph"

[Tests.cmd_args.dynamo.decode_worker.args]
tensor-parallel-size = 8
Original file line number Diff line number Diff line change
@@ -0,0 +1,68 @@
# SPDX-FileCopyrightText: NVIDIA CORPORATION & AFFILIATES
# Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

name = "dynamo-sglang-qwen3-30b-a3b-fp8-wideep-slurm"
job_status_check = false

[[Tests]]
id = "test.disagg.1p1d.multinode-wideep"
test_name = "sglang"
time_limit = "00:30:00"

[Tests.cmd_args]
[Tests.cmd_args.dynamo]
model = "Qwen/Qwen3-30B-A3B-FP8"
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node-setup-cmd = "hostname"

# Work around the SGLang multi-node overlap-scheduler hang:
# https://github.com/sgl-project/sglang/issues/26454
[Tests.cmd_args.dynamo.prefill_worker]
num-nodes = 2
nodes-per-worker = 2
extra-args = "--trust-remote-code --skip-tokenizer-init --enable-metrics --enable-dp-attention --disable-overlap-schedule"

[Tests.cmd_args.dynamo.prefill_worker.args]
model-path = "Qwen/Qwen3-30B-A3B-FP8"
served-model-name = "Qwen/Qwen3-30B-A3B-FP8"
tensor-parallel-size = 8
pipeline-parallel-size = 1
data-parallel-size = 8
ep-size = 8
moe-a2a-backend = "deepep"
deepep-mode = "normal"
mem-fraction-static = 0.75
load-balance-method = "round_robin"
watchdog-timeout = 3600

# Work around the SGLang multi-node overlap-scheduler and CUDA graph replay hangs:
# https://github.com/sgl-project/sglang/issues/26454
# https://github.com/sgl-project/sglang/issues/29548
[Tests.cmd_args.dynamo.decode_worker]
num-nodes = 2
nodes-per-worker = 2
extra-args = "--trust-remote-code --skip-tokenizer-init --enable-metrics --enable-dp-attention --prefill-round-robin-balance --disable-overlap-schedule --disable-cuda-graph"

[Tests.cmd_args.dynamo.decode_worker.args]
model-path = "Qwen/Qwen3-30B-A3B-FP8"
served-model-name = "Qwen/Qwen3-30B-A3B-FP8"
tensor-parallel-size = 8
pipeline-parallel-size = 1
data-parallel-size = 8
ep-size = 8
moe-a2a-backend = "deepep"
deepep-mode = "normal"
mem-fraction-static = 0.75
watchdog-timeout = 3600
4 changes: 2 additions & 2 deletions conf/experimental/ai_dynamo/test_scenario/vllm_lmcache.toml
Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,7 @@ dse_excluded_args = [
]

[Tests.cmd_args]
docker_image_url = "nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.1.1"
docker_image_url = "nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.3.1"
# storage_cache_dir = "/lustre/.../install/tmp"
workloads = "aiperf.sh"

Expand Down Expand Up @@ -61,7 +61,7 @@ dse_excluded_args = [

[Tests.cmd_args.dynamo.prefill_worker]
num-nodes = 1
cmd = 'python3 -m dynamo.vllm --is-prefill-worker'
cmd = 'python3 -m dynamo.vllm'
worker-initialized-regex = 'VllmWorker.*has.been.initialized'
extra-args = "--no-enable-expert-parallel"

Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,54 @@
# SPDX-FileCopyrightText: NVIDIA CORPORATION & AFFILIATES
# Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

name = "dynamo-vllm-multinode-worker-slurm"
job_status_check = false

[[Tests]]
id = "test.disagg.multinode-worker"
test_name = "vLLM"
time_limit = "00:10:00"

[Tests.cmd_args]
[Tests.cmd_args.dynamo.dcgm_exporter]
enabled = true
docker-image-url = "nvcr.io/nvidia/k8s/dcgm-exporter:4.5.2-4.8.1-distroless"

[Tests.cmd_args.dynamo.prefill_worker]
num-nodes = 2
nodes-per-worker = 2
[Tests.cmd_args.dynamo.prefill_worker.args]
pipeline-parallel-size = 1

[Tests.cmd_args.dynamo.decode_worker]
num-nodes = 2
nodes-per-worker = 2
[Tests.cmd_args.dynamo.decode_worker.args]
pipeline-parallel-size = 1

[[Tests.cmd_args.aiperf_phases]]
name = "round_1"
[Tests.cmd_args.aiperf_phases.args]
concurrency = 4
request-count = 50
server-metrics = "auto"

[[Tests.cmd_args.aiperf_phases]]
name = "round_2"
[Tests.cmd_args.aiperf_phases.args]
concurrency = 8
request-count = 50
server-metrics = "auto"
Original file line number Diff line number Diff line change
@@ -0,0 +1,55 @@
# SPDX-FileCopyrightText: NVIDIA CORPORATION & AFFILIATES
# Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

name = "dynamo-vllm-qwen3-30b-a3b-wideep-slurm"
job_status_check = false

[[Tests]]
id = "test.disagg.1p1d.multinode-wideep"
test_name = "vLLM"
time_limit = "00:30:00"

[Tests.cmd_args]
[Tests.cmd_args.dynamo]
model = "Qwen/Qwen3-30B-A3B"
node-setup-cmd = "hostname"

# On four-GPU nodes, TP=1 and DP=8 place four DP ranks per node.
# vLLM derives EP=TP*DP=8, so each role's expert group spans both nodes.
[Tests.cmd_args.dynamo.prefill_worker]
num-nodes = 2
nodes-per-worker = 2
extra-args = "--enable-expert-parallel"

[Tests.cmd_args.dynamo.prefill_worker.args]
tensor-parallel-size = 1
pipeline-parallel-size = 1
data-parallel-size = 8
all2all-backend = "allgather_reducescatter"
max-model-len = 8192
kv-events-config = '{"publisher":"zmq","topic":"kv-events","endpoint":"tcp://*:20080","enable_kv_cache_events":true}'

[Tests.cmd_args.dynamo.decode_worker]
num-nodes = 2
nodes-per-worker = 2
extra-args = "--enable-expert-parallel"

[Tests.cmd_args.dynamo.decode_worker.args]
tensor-parallel-size = 1
pipeline-parallel-size = 1
data-parallel-size = 8
all2all-backend = "allgather_reducescatter"
max-model-len = 8192
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