update readme

README.md

@@ -13,6 +13,41 @@ clusters, and the cloud.
 - You can also use them to setup your own cloud MFEM development environment.
 See this [AWS script](developer/user-data.sh).
 
+There are currently two main configurations that support CPU or GPU computation
+(through CUDA preconfigured with SM 70). Both types are available with only
+OpenMPI and hypre
+([cpu](https://github.com/mfem/containers/pkgs/container/containers%2Fcpu) and
+[cuda-sm70](https://github.com/mfem/containers/pkgs/container/containers%2Fcuda-sm70))
+or in the following configurations:
+
+- [cpu-tpls](https://github.com/mfem/containers/pkgs/container/containers%2Fcpu-tpls)
+    - OpenMPI 4.1.2
+    - hypre 2.27.0
+    - SuperLU_dist 8.2.1
+    - PETSc 3.20.2
+
+- [cuda-tpls-sm70](https://github.com/mfem/containers/pkgs/container/containers%2Fcuda-tpls-sm70)
+    - OpenMPI 4.1.2
+    - hypre 2.27.0
+    - AMGX 8.2.1
+
+If you plan to build your own image to support a different architecture you can
+use the predefined build arguments for docker-compose e.g.
+```
+docker-compose build --build-arg cuda_arch_sm=80 cuda && docker image tag cuda:latest cuda-sm80:latest
+docker-compose build --build-arg cuda_arch_sm=80 cuda-tpls && docker image tag cuda-tpls:latest cuda-tpls-sm80:latest
+```
+
+The cuda images require the host to be configured with
+[NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html).
+
+We recommond starting the container with
+```
+docker run --cap-add=SYS_PTRACE -ti --gpus all ghcr.io/mfem/containers/cuda-tpls:latest /bin/bash
+```
+which puts you in the home directory for the mfem user and let's you explore the
+broad selection of examples or write your own.
+
 #### ⚙️ `mfem/developer` image
 
 This Docker image is used to provide a containerized environment for development
@@ -21,5 +56,11 @@ of MFEM.
 It is the image we used in the MFEM [AWS tutorial](https://mfem.org/tutorial) in
 August 2022.
 
-You can find the `mfem/developer` source in the [developer](developer/) directory and
-the pre-built image at [ghcr.io/mfem/containers/developer](http://ghcr.io/mfem/containers/developer).
+You can find the `mfem/developer` source in the [developer](developer/) directory.
+
+Since December 2023 this image is available in a prebuilt configuration for
+either
+[CPU](https://github.com/mfem/containers/pkgs/container/containers%2Fdeveloper-cpu)
+or
+[CUDA](https://github.com/mfem/containers/pkgs/container/containers%2Fdeveloper-cuda-sm70)
+including all third party libraries listed above.