diff --git a/docs/source/getting_started/amd-installation.rst b/docs/source/getting_started/amd-installation.rst
index 5d9fdf4056709..3d736bf7120ec 100644
--- a/docs/source/getting_started/amd-installation.rst
+++ b/docs/source/getting_started/amd-installation.rst
@@ -100,7 +100,7 @@ You can build and install vLLM from source:
 
 Build a docker image from `Dockerfile.rocm`, and launch a docker container.
 
-The `Dokerfile.rocm` is designed to support both ROCm 5.7 and ROCm 6.0 and later versions. It provides flexibility to customize the build of docker image using the following arguments:
+The `Dockerfile.rocm` is designed to support both ROCm 5.7 and ROCm 6.0 and later versions. It provides flexibility to customize the build of docker image using the following arguments:
 
 * `BASE_IMAGE`: specifies the base image used when running ``docker build``, specifically the PyTorch on ROCm base image. We have tested ROCm 5.7 and ROCm 6.0. The default is `rocm/pytorch:rocm6.0_ubuntu20.04_py3.9_pytorch_2.1.1`
 * `FX_GFX_ARCHS`: specifies the GFX architecture that is used to build flash-attention, for example, `gfx90a;gfx942` for MI200 and MI300. The default is `gfx90a;gfx942`