diff --git a/docs/getting_started/installation/gpu.md b/docs/getting_started/installation/gpu.md
index f8a3acef784fc..1be7557b79e5f 100644
--- a/docs/getting_started/installation/gpu.md
+++ b/docs/getting_started/installation/gpu.md
@@ -42,7 +42,7 @@ vLLM is a Python library that supports the following GPU variants. Select your G
 
 === "NVIDIA CUDA"
 
-    --8<-- "docs/getting_started/installation/gpu/cuda.inc.md:create-a-new-python-environment"
+    --8<-- "docs/getting_started/installation/gpu/cuda.inc.md:set-up-using-python"
 
 === "AMD ROCm"
 
diff --git a/docs/getting_started/installation/gpu/cuda.inc.md b/docs/getting_started/installation/gpu/cuda.inc.md
index 409efece30888..4503bb443188d 100644
--- a/docs/getting_started/installation/gpu/cuda.inc.md
+++ b/docs/getting_started/installation/gpu/cuda.inc.md
@@ -10,8 +10,6 @@ vLLM contains pre-compiled C++ and CUDA (12.8) binaries.
 # --8<-- [end:requirements]
 # --8<-- [start:set-up-using-python]
 
-### Create a new Python environment
-
 !!! 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.