diff --git a/.github/backend-matrix.yml b/.github/backend-matrix.yml
index a9a6c47fc..e7bada4b4 100644
--- a/.github/backend-matrix.yml
+++ b/.github/backend-matrix.yml
@@ -2584,7 +2584,7 @@ include:
     tag-latest: 'auto'
     tag-suffix: '-gpu-intel-vllm'
     runs-on: 'ubuntu-latest'
-    base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
+    base-image: "intel/oneapi-basekit:2025.3.2-0-devel-ubuntu24.04"
     skip-drivers: 'false'
     backend: "vllm"
     dockerfile: "./backend/Dockerfile.python"
diff --git a/backend/python/vllm/install.sh b/backend/python/vllm/install.sh
index ca9b98f6a..009ef5b02 100755
--- a/backend/python/vllm/install.sh
+++ b/backend/python/vllm/install.sh
@@ -168,7 +168,7 @@ if [ "$(uname -s)" = "Darwin" ]; then
 
 # Intel XPU has no upstream-published vllm wheels, so we always build vllm
 # from source against torch-xpu and replace the default triton with
-# triton-xpu (matching torch 2.11). Mirrors the upstream procedure:
+# triton-xpu. Mirrors the upstream procedure:
 # https://github.com/vllm-project/vllm/blob/main/docs/getting_started/installation/gpu.xpu.inc.md
 elif [ "x${BUILD_TYPE}" == "xintel" ]; then
     # Hide requirements-intel-after.txt so installRequirements doesn't
@@ -194,18 +194,23 @@ elif [ "x${BUILD_TYPE}" == "xintel" ]; then
 
     _vllm_src=$(mktemp -d)
     trap 'rm -rf "${_vllm_src}"' EXIT
-    git clone --depth 1 https://github.com/vllm-project/vllm "${_vllm_src}/vllm"
+    # Keep the source build aligned with the version shipped by the other
+    # accelerator profiles. Building the moving main branch can silently pull
+    # a newer torch/XPU runtime than the selected oneAPI base image supports.
+    VLLM_VERSION="0.26.0"
+    git clone --depth 1 --branch "v${VLLM_VERSION}" \
+        https://github.com/vllm-project/vllm "${_vllm_src}/vllm"
     pushd "${_vllm_src}/vllm"
         # Install vllm's own runtime deps (torch-xpu, vllm_xpu_kernels,
         # pydantic, fastapi, …) from upstream's requirements/xpu.txt — the
         # canonical source of truth. Avoids re-pinning everything ourselves.
         uv pip install ${EXTRA_PIP_INSTALL_FLAGS:-} -r requirements/xpu.txt
         # Stock triton (NVIDIA-only) may have come in transitively; replace
-        # with triton-xpu==3.7.0 which matches torch 2.11.
+        # with the version vLLM 0.26.0 specifies for torch 2.12.
         uv pip uninstall triton triton-xpu 2>/dev/null || true
         uv pip install ${EXTRA_PIP_INSTALL_FLAGS:-} \
             --extra-index-url https://download.pytorch.org/whl/xpu \
-            triton-xpu==3.7.0
+            triton-xpu==3.7.1
         export CMAKE_PREFIX_PATH="$(python -c 'import site; print(site.getsitepackages()[0])'):${CMAKE_PREFIX_PATH:-}"
         VLLM_TARGET_DEVICE=xpu uv pip install ${EXTRA_PIP_INSTALL_FLAGS:-} --no-deps .
     popd