[Doc] Update README and docs for v0.30.0 (#8175)

Signed-off-by: hsliu_ustc <hsliu_ustc@noreply.gitcode.com>
Co-authored-by: hsliu_ustc <hsliu_ustc@noreply.gitcode.com>

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

@@ -5,7 +5,7 @@
 # --8<-- [end:requirements]
 # --8<-- [start:set-up-using-python]
 
-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.
+vLLM-Omni depends on the matching major/minor release of vLLM. The vLLM-Omni 0.30.x release line uses vLLM 0.30.x.
 
 !!! note
     PyTorch installed via `conda` will statically link `NCCL` library, which can cause issues when vLLM tries to use `NCCL`. See <gh-issue:8420> for more details.
@@ -18,22 +18,22 @@ Therefore, it is recommended to install vLLM and vLLM-Omni with a **fresh new**
 
 #### Installation of vLLM
 
-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.
+These pre-built wheel instructions install the published vLLM-Omni 0.30.0 release.
 
 vLLM-Omni is built based on vLLM. Please install it with command below.
 ```bash
-uv pip install vllm==0.28.0 --torch-backend=auto
+uv pip install vllm==0.30.0 --torch-backend=auto
 ```
 
 #### Installation of vLLM-Omni
 
 ```bash
-uv pip install vllm-omni==0.28.0
+uv pip install vllm-omni==0.30.0
 ```
 
 To run Gradio demos, also install the optional extras:
 ```bash
-uv pip install 'vllm-omni[demo]==0.28.0'
+uv pip install 'vllm-omni[demo]==0.30.0'
 ```
 
 # --8<-- [end:pre-built-wheels]
@@ -111,7 +111,7 @@ docker run --runtime nvidia --gpus 2 \
     --env "HF_TOKEN=$HF_TOKEN" \
     -p 8091:8091 \
     --ipc=host \
-    vllm/vllm-omni:v0.28.0 \
+    vllm/vllm-omni:v0.30.0 \
     vllm serve Qwen/Qwen3-Omni-30B-A3B-Instruct --omni --port 8091
 ```
 

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

@@ -10,9 +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 0.30
-development line uses vLLM 0.30.x. Published 0.28.0 wheels and images use vLLM
-0.28.x.
+vLLM-Omni depends on the matching major/minor release of vLLM. The vLLM-Omni
+0.30.x release line uses vLLM 0.30.x.
 
 The Dockerfile's `BASE_IMAGE` pin applies only to Docker builds. The
 `vllm-omni` package does not install vLLM as a dependency, so non-Docker source
@@ -23,12 +22,12 @@ 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 0.30 development line, use the source-install instructions below.
+These pre-built wheel instructions install the published vLLM-Omni 0.30.0 release.
 
 vLLM-Omni is built based on vLLM. Please install it with command below.
 
 ```bash
-uv pip install vllm==0.28.0+rocm723 --extra-index-url https://wheels.vllm.ai/rocm/0.28.0/rocm723
+uv pip install vllm==0.30.0+rocm723 --extra-index-url https://wheels.vllm.ai/rocm/0.30.0/rocm723
 ```
 
 #### Installation of vLLM-Omni
@@ -37,7 +36,7 @@ uv pip install vllm==0.28.0+rocm723 --extra-index-url https://wheels.vllm.ai/roc
 # we need to add --no-build-isolation as the torch
 # is not obtained from pypi, we have to install using the
 # torch installed in our environment
-uv pip install vllm-omni==0.28.0
+uv pip install vllm-omni==0.30.0
 
 # Optional if want to run Qwen3 TTS
 uv pip uninstall onnxruntime # should be removed before we can install onnxruntime-rocm
@@ -150,6 +149,8 @@ vllm-omni-rocm
 
 vLLM-Omni offers an official docker image for deployment. These images are built on top of vLLM docker images and available on Docker Hub as [vllm/vllm-omni-rocm](https://hub.docker.com/r/vllm/vllm-omni-rocm/tags). The version of vLLM-Omni indicates which release of vLLM it is based on.
 
+The prebuilt ROCm image is published separately from the release pipeline: `v0.28.0` is the latest tag currently available on Docker Hub, and newer-tag availability is tracked in [#7405](https://github.com/vllm-project/vllm-omni/issues/7405).
+
 #### Launch vLLM-Omni Server
 
 Here's an example deployment command that has been verified on 2 x MI300's: