diff --git a/doc/api/training/distributed.rst b/doc/api/training/distributed.rst
index 44ea860861..21837bc1e4 100644
--- a/doc/api/training/distributed.rst
+++ b/doc/api/training/distributed.rst
@@ -10,7 +10,7 @@ The SageMaker Distributed Data Parallel Library
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 .. toctree::
-    :maxdepth: 3
+    :maxdepth: 2
 
     smd_data_parallel
     sdp_versions/latest
@@ -23,7 +23,7 @@ The SageMaker Distributed Model Parallel Library
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 .. toctree::
-   :maxdepth: 3
+   :maxdepth: 2
 
    smd_model_parallel
    smp_versions/latest
diff --git a/doc/api/training/smd_model_parallel_release_notes/smd_model_parallel_change_log.rst b/doc/api/training/smd_model_parallel_release_notes/smd_model_parallel_change_log.rst
index 65c63b3a83..2e5ad2a8ac 100644
--- a/doc/api/training/smd_model_parallel_release_notes/smd_model_parallel_change_log.rst
+++ b/doc/api/training/smd_model_parallel_release_notes/smd_model_parallel_change_log.rst
@@ -5,9 +5,48 @@ Release Notes
 New features, bug fixes, and improvements are regularly made to the SageMaker
 distributed model parallel library.
 
-SageMaker Distributed Model Parallel 1.7.0 Release Notes
+SageMaker Distributed Model Parallel 1.8.0 Release Notes
 ========================================================
 
+*Date: March. 23. 2022*
+
+**New Features**
+
+* Added tensor parallelism support for the `GPT-J model
+  <https://huggingface.co/docs/transformers/model_doc/gptj>`_.
+  When using the GPT-J model of Hugging Face Transformers v4.17.0 with
+  tensor parallelism, the SageMaker model parallel library automatically
+  replaces the model with a tensor parallel distributed GPT-J model.
+  For more information, see `Support for Hugging Face Transformer Models
+  <https://docs.aws.amazon.com/sagemaker/latest/dg/model-parallel-extended-features-pytorch-hugging-face.html>`_
+  in the *Amazon SageMaker Model Parallel Training developer guide*.
+
+**Migration to AWS Deep Learning Containers**
+
+This version passed benchmark testing and is migrated to the following AWS Deep Learning Containers:
+
+* HuggingFace 4.17.0 DLC with PyTorch 1.10.2
+
+    .. code::
+
+      763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:1.10.2-transformers4.17.0-gpu-py38-cu113-ubuntu20.04
+
+
+    The binary file of this version of the library for custom container users:
+
+    .. code::
+
+      https://sagemaker-distributed-model-parallel.s3.us-west-2.amazonaws.com/pytorch-1.10.0/build-artifacts/2022-03-12-00-33/smdistributed_modelparallel-1.8.0-cp38-cp38-linux_x86_64.whl
+
+
+----
+
+Release History
+===============
+
+SageMaker Distributed Model Parallel 1.7.0 Release Notes
+--------------------------------------------------------
+
 *Date: March. 07. 2022*
 
 **Currency Updates**
@@ -49,11 +88,6 @@ This version passed benchmark testing and is migrated to the following AWS Deep
     763104351884.dkr.ecr.<region>.amazonaws.com/pytorch-training:1.10.2-gpu-py38-cu113-ubuntu20.04-sagemaker
 
 
-----
-
-Release History
-===============
-
 SageMaker Distributed Model Parallel 1.6.0 Release Notes
 --------------------------------------------------------
 
diff --git a/doc/api/training/smp_versions/latest.rst b/doc/api/training/smp_versions/latest.rst
index da44e4f1dd..425825054b 100644
--- a/doc/api/training/smp_versions/latest.rst
+++ b/doc/api/training/smp_versions/latest.rst
@@ -10,8 +10,8 @@ depending on which version of the library you need to use.
 To use the library, reference the
 **Common API** documentation alongside the framework specific API documentation.
 
-Version 1.7.0 (Latest)
-======================
+Version 1.7.0, 1.8.0 (Latest)
+=============================
 
 To use the library, reference the Common API documentation alongside the framework specific API documentation.