[Rebase] Rebase to vLLM 0.30.0 (#7820)

Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
Signed-off-by: Gao Han <hgaoaf@connect.ust.hk>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
Co-authored-by: Gao Han <hgaoaf@connect.ust.hk>

docs/getting_started/installation/gpu/rocm.inc.md

@@ -10,8 +10,8 @@
 
 For ROCm, vLLM-Omni currently recommends the setup steps through Docker Images.
 
-vLLM-Omni depends on the matching major/minor release of vLLM. The 0.29
-development line uses vLLM 0.29.x. Published 0.28.0 wheels and images use vLLM
+vLLM-Omni depends on the matching major/minor release of vLLM. The 0.30
+development line uses vLLM 0.30.x. Published 0.28.0 wheels and images use vLLM
 0.28.x.
 
 The Dockerfile's `BASE_IMAGE` pin applies only to Docker builds. The
@@ -23,7 +23,7 @@ installing vLLM-Omni, as shown below.
 
 #### Installation of vLLM
 
-These pre-built wheel instructions install the published vLLM-Omni 0.28.0 release. For the 0.29 development line, use the source-install instructions below.
+These pre-built wheel instructions install the published vLLM-Omni 0.28.0 release. For the 0.30 development line, use the source-install instructions below.
 
 vLLM-Omni is built based on vLLM. Please install it with command below.
 
@@ -50,13 +50,13 @@ uv pip install onnxruntime-rocm
 
 #### Installation of vLLM
 
-If you do not need to modify source code of vLLM, you can directly install the stable 0.29.0 release version of the library
+If you do not need to modify source code of vLLM, you can directly install the stable 0.30.0 release version of the library
 
 ```bash
-uv pip install vllm==0.29.0+rocm723 --extra-index-url https://wheels.vllm.ai/rocm/0.29.0/rocm723
+uv pip install vllm==0.30.0+rocm723 --extra-index-url https://wheels.vllm.ai/rocm/0.30.0/rocm723
 ```
 
-The pre-built 0.29.0 vLLM wheel targets ROCm 7.2.3. If you need a different ROCm stack or want to reuse an existing PyTorch installation, build vLLM from source instead.
+The pre-built 0.30.0 vLLM wheel targets ROCm 7.2.3. If you need a different ROCm stack or want to reuse an existing PyTorch installation, build vLLM from source instead.
 
 #### Installation of vLLM-Omni
 
@@ -76,7 +76,7 @@ If you want to check, modify or debug with source code of vLLM, install the libr
 ```bash
 git clone https://github.com/vllm-project/vllm.git
 cd vllm
-git checkout v0.29.0
+git checkout v0.30.0
 python3 -m pip install -r requirements/rocm.txt
 python3 setup.py develop
 ```
@@ -88,7 +88,7 @@ python3 setup.py develop
 #### Build docker image
 
 The source build defaults to the published upstream base image
-`vllm/vllm-openai-rocm:v0.29.0`, aligned with the vLLM release used by CI.
+`vllm/vllm-openai-rocm:v0.30.0`, aligned with the vLLM release used by CI.
 Older or custom bases must provide the vLLM APIs checked by the Dockerfile's
 image-build canary. This upstream base is distinct from the prebuilt
 `vllm/vllm-omni-rocm` images discussed below; their published-tag availability
@@ -103,7 +103,7 @@ To select the upstream ROCm base explicitly, pass `BASE_IMAGE`:
 ```bash
 DOCKER_BUILDKIT=1 docker build \
   -f docker/Dockerfile.rocm \
-  --build-arg BASE_IMAGE=vllm/vllm-openai-rocm:v0.29.0 \
+  --build-arg BASE_IMAGE=vllm/vllm-openai-rocm:v0.30.0 \
   -t vllm-omni-rocm .
 ```