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[deps][LLM] Upgrade vLLM to 0.15.0 #60253

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[deps][LLM] Upgrade vLLM to 0.15.0 #60253

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cd095ee
[LLM] Point vLLM dependency to v0.14.0rc1 for upgrade testing
nrghosh Jan 17, 2026
758b2c9
overriding vllm torch requirement
elliot-barn Jan 18, 2026
923dabc
including torch and vllm
elliot-barn Jan 19, 2026
fc6b087
[LLM] Update vLLM from rc1 to 0.14.0 release
nrghosh Jan 21, 2026
c1c11e7
wip - compile deps
nrghosh Jan 21, 2026
d18c71c
wip - fix test - PoolingParams.normalize deprecated in favor of use_a…
nrghosh Jan 21, 2026
52c45be
Fix multi-gpu llm tests
nrghosh Jan 22, 2026
3190ad1
use smaller MoE model to avoid OOms in CI
nrghosh Jan 22, 2026
eca9898
Upgrade to vLLM 0.15.0 take 2
jeffreywang88 Jan 30, 2026
24e1d99
Take 3
jeffreywang88 Jan 30, 2026
231de88
Remove extra-index-url
jeffreywang88 Jan 30, 2026
04eb5d2
Attempt to fix CUDA version incompatibility
jeffreywang88 Jan 30, 2026
4cd9ecc
OpenAI protocol adjustment
jeffreywang88 Jan 30, 2026
0d9957c
linter
jeffreywang88 Jan 30, 2026
b749a9f
Trim
jeffreywang88 Jan 30, 2026
9f9958c
Run bazel run //ci/raydepsets:raydepsets -- build --all-configs --che…
jeffreywang88 Jan 30, 2026
8248ad7
Use parse_chat_messages_async
jeffreywang88 Jan 30, 2026
6711055
Clean up
jeffreywang88 Jan 31, 2026
cda414a
Recompile locally
jeffreywang88 Jan 31, 2026
3ae3f3e
Clean up
jeffreywang88 Feb 1, 2026
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4 changes: 2 additions & 2 deletions ci/compile_llm_requirements.sh
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Expand Up @@ -6,9 +6,9 @@ CONFIG_PATH="${1:-ci/raydepsets/configs/rayllm.depsets.yaml}"

mkdir -p /tmp/ray-deps

# Remove the GPU constraints
# Remove the GPU constraints, numpy pin, scipy pin, and pandas pin (LLM requires numpy>=2, compatible scipy, and pandas>=2.0)
cp python/requirements_compiled.txt /tmp/ray-deps/requirements_compiled.txt
sed -e '/^--extra-index-url /d' -e '/^--find-links /d' /tmp/ray-deps/requirements_compiled.txt > /tmp/ray-deps/requirements_compiled.txt.tmp
sed -e '/^--extra-index-url /d' -e '/^--find-links /d' -e '/^numpy==/d' -e '/^scipy==/d' -e '/^pandas==/d' /tmp/ray-deps/requirements_compiled.txt > /tmp/ray-deps/requirements_compiled.txt.tmp
mv /tmp/ray-deps/requirements_compiled.txt.tmp /tmp/ray-deps/requirements_compiled.txt

bazel run //ci/raydepsets:raydepsets -- build "${CONFIG_PATH}"
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4 changes: 3 additions & 1 deletion ci/raydepsets/configs/llm_release_tests.depsets.yaml
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Expand Up @@ -8,8 +8,10 @@ build_arg_sets:
append_flags:
- --python-version=3.11
- --unsafe-package ray
- --python-platform=linux
# Use manylinux_2_31 for vllm 0.15.0 wheel compatibility

@jeffreywang88 jeffreywang88 Jan 31, 2026

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hint: Wheels are available for `vllm` (v0.15.0) on the following platforms: `manylinux_2_31_aarch64`, `manylinux_2_31_x86_64`

@jeffreywang88 jeffreywang88 Jan 31, 2026 •
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linux defaults to manylinux_2_28_x86_64 which vllm 0.15.0 does not support

@jeffreywang88 jeffreywang88 Jan 31, 2026

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This is necessary.

- --python-platform=x86_64-manylinux_2_31
- --extra-index-url https://download.pytorch.org/whl/${CUDA_CODE}
- --override python/requirements/llm/torch-override.txt
build_arg_sets:
- cu128

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5 changes: 3 additions & 2 deletions ci/raydepsets/configs/rayimg.depsets.yaml
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Expand Up @@ -39,8 +39,8 @@ depsets:
- release/ray_release/byod/requirements_byod_${PYTHON_VERSION}.in
- docker/base-deps/requirements.in
- docker/base-extra/requirements.in
constraints:
- /tmp/ray-deps/requirements_compiled_py${PYTHON_VERSION}.txt
# constraints:
# - /tmp/ray-deps/requirements_compiled_py${PYTHON_VERSION}.txt
depsets:
- ray_img_depset_${PYTHON_SHORT}
output: python/deplocks/base_extra_testdeps/ray-base_extra_testdeps_py${PYTHON_VERSION}.lock
Expand All @@ -67,6 +67,7 @@ depsets:
- --unsafe-package ray
- --python-version=${PYTHON_VERSION}
- --python-platform=linux
- --prerelease=allow
build_arg_sets:
- py311

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4 changes: 3 additions & 1 deletion ci/raydepsets/configs/rayllm.depsets.yaml
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Expand Up @@ -11,8 +11,10 @@ build_arg_sets:
append_flags:
- --python-version=3.11
- --unsafe-package ray
- --python-platform=linux
# Use manylinux_2_31 for vllm 0.15.0 wheel compatibility
- --python-platform=x86_64-manylinux_2_31
- --extra-index-url https://download.pytorch.org/whl/${CUDA_CODE}
- --override python/requirements/llm/torch-override.txt
build_arg_sets:
- cpu
- cu128
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4 changes: 2 additions & 2 deletions ci/raydepsets/pre_hooks/remove-compiled-headers.sh
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Expand Up @@ -12,7 +12,7 @@ fi

mkdir -p /tmp/ray-deps

# Remove the GPU constraints
# Remove the GPU constraints, numpy pin, scipy pin, and pandas pin (LLM requires numpy>=2, compatible scipy, and pandas>=2.0)
cp "python/${FILENAME}" "/tmp/ray-deps/${FILENAME}"
sed -e '/^--extra-index-url /d' -e '/^--find-links /d' "/tmp/ray-deps/${FILENAME}" > "/tmp/ray-deps/${FILENAME}.tmp"
sed -e '/^--extra-index-url /d' -e '/^--find-links /d' -e '/^numpy==/d' -e '/^scipy==/d' -e '/^pandas==/d' "/tmp/ray-deps/${FILENAME}" > "/tmp/ray-deps/${FILENAME}.tmp"

@aslonnie aslonnie Feb 2, 2026

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this should not be here..

first, this is a generic file used not only for llm images, it is used for all images. this PR should not change how other images are built.

second, the name of this file says "remove-compiled-headers". this is doing more than that.

third, why not just upgrade? why do relaxing?

@jeffreywang88 jeffreywang88 Feb 2, 2026

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I was trying to avoid from modifying this, but it seems like I'm actually touching something with broader impacts.

ray/python/requirements/test-requirements.txt

Line 73 in d0b1d15

numpy==1.26.4

Do you think it's fine to upgrade this ^?

mv "/tmp/ray-deps/${FILENAME}.tmp" "/tmp/ray-deps/${FILENAME}"
2 changes: 1 addition & 1 deletion doc/source/llm/doc_code/serve/multi_gpu/dp_basic_example.py
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Expand Up @@ -42,7 +42,7 @@ def _testing_build_dp_openai_app(builder_config, **kwargs):
# Configure the model with data parallel settings
config = LLMConfig(
model_loading_config={
"model_id": "Qwen/Qwen2.5-0.5B-Instruct"
"model_id": "microsoft/Phi-tiny-MoE-instruct"
},
engine_kwargs={
"data_parallel_size": 2, # Number of DP replicas
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4 changes: 2 additions & 2 deletions doc/source/llm/doc_code/serve/multi_gpu/dp_pd_example.py
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Expand Up @@ -57,7 +57,7 @@ def _testing_build_dp_deployment(llm_config, **kwargs):
# Configure prefill with data parallel attention
prefill_config = LLMConfig(
model_loading_config={
"model_id": "Qwen/Qwen2.5-0.5B-Instruct"
"model_id": "microsoft/Phi-tiny-MoE-instruct"
},
engine_kwargs={
"data_parallel_size": 2, # 2 DP replicas for prefill
Expand All @@ -78,7 +78,7 @@ def _testing_build_dp_deployment(llm_config, **kwargs):
# Configure decode with data parallel attention
decode_config = LLMConfig(
model_loading_config={
"model_id": "Qwen/Qwen2.5-0.5B-Instruct"
"model_id": "microsoft/Phi-tiny-MoE-instruct"
},
engine_kwargs={
"data_parallel_size": 2, # 2 DP replicas for decode (adjusted for 4 GPU limit)
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6 changes: 4 additions & 2 deletions docker/ray-llm/Dockerfile
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Expand Up @@ -7,7 +7,7 @@ COPY python/deplocks/llm/rayllm_*.lock ./

# vLLM version tag to use for EP kernel and DeepGEMM install scripts
# Keep in sync with vllm version in python/requirements/llm/llm-requirements.txt
ARG VLLM_SCRIPTS_REF="v0.12.0"
ARG VLLM_SCRIPTS_REF="v0.15.0"

RUN <<EOF
#!/bin/bash
Expand Down Expand Up @@ -44,7 +44,9 @@ export UV_SYSTEM_PYTHON=1
export TORCH_CUDA_ARCH_LIST="9.0a 10.0a"

# Install EP kernels (PPLX, DeepEP, and NVSHMEM)
curl -fsSL "${VLLM_RAW}/tools/ep_kernels/install_python_libraries.sh" | bash -s -- --workspace /home/ray/llm_ep_support
# Fix CUDA version mismatch: Use nvshmem 3.3.20 which was compiled with CUDA 12.8
curl -fsSL "${VLLM_RAW}/tools/ep_kernels/install_python_libraries.sh" | \
bash -s -- --workspace /home/ray/llm_ep_support --nvshmem-ver 3.3.20

# Install DeepGEMM
curl -fsSL "${VLLM_RAW}/tools/install_deepgemm.sh" | bash
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