diff --git a/README.md b/README.md
index de1ab477..8a5d7d79 100644
--- a/README.md
+++ b/README.md
@@ -27,8 +27,25 @@ You can use a Docker container to try Optimum-NVIDIA today. Images are available
 docker pull huggingface/optimum-nvidia
 ```
 
-<!-- You can also build from source with the Dockerfile provided here. 
+An Optimum-NVIDIA package that can be installed with `pip` will be made available soon. 
+
+## Building from source
+<!---
+Currently, TRT LLM is built and run with Docker, so we should wait until pip installation is available;
+Ideally the user doesn't need to use docker at all to build from source, they should be able to run something like
+`git clone [...] && pip install -e optimum-nvidia`
+-->
 
+Instead of using the pre-built docker container, you can build Optimum-NVIDIA from source:
+```bash
+TARGET_SM = "90-real,89-real"
+git clone --recursive --depth=1 git@github.com:huggingface/optimum-nvidia.git
+cd optimum-nvidia/third-party/tensorrt-llm
+make -C docker release_build CUDA_ARCHS=$TARGET_SM
+cd ../.. && docker build -t <organisation_name/image_name>:<version> -f docker/Dockerfile .
+```
+
+<!-- 
 ```bash
 git clone git@github.com:huggingface/optimum-nvidia.git
 cd optimum-nvidia
@@ -36,8 +53,6 @@ docker build Dockerfile
 docker run optimum-nvidia
 ``` -->
 
-An Optimum-NVIDIA package that can be installed with `pip` will be made available soon. 
-
 # Quickstart Guide
 ## Pipelines