@@ -199,7 +199,7 @@ It is recommended to use [NGC PyTorch Container](https://catalog.ngc.nvidia.com/
> [!Note]
> Ensure that you select a PyTorch container image version that matches the version of TensorRT-LLM you are using.
> For example, if you are using `tensorrt-llm==1.0.0rc6`, use the PyTorch container image version `25.06`.
> For example, if you are using `tensorrt-llm==1.1.0rc3`, use the PyTorch container image version `25.06`.
> To find the correct PyTorch container version for your desired `tensorrt-llm` release, visit the [TensorRT-LLM Dockerfile.multi](https://github.com/NVIDIA/TensorRT-LLM/blob/main/docker/Dockerfile.multi) on GitHub. Switch to the branch that matches your `tensorrt-llm` version, and look for the `BASE_TAG` line to identify the recommended PyTorch container tag.