diff --git a/composer/_version.py b/composer/_version.py
index df0bb29480..a015337870 100644
--- a/composer/_version.py
+++ b/composer/_version.py
@@ -3,4 +3,4 @@
 
 """The Composer Version."""
 
-__version__ = '0.28.0.dev0'
+__version__ = '0.29.0.dev0'
diff --git a/docker/README.md b/docker/README.md
index 41bd0e51b6..f0da230258 100644
--- a/docker/README.md
+++ b/docker/README.md
@@ -15,8 +15,8 @@ all dependencies for both NLP and Vision models. They are built on top of the
 <!-- BEGIN_COMPOSER_BUILD_MATRIX -->
 | Composer Version   | CUDA Support   | Docker Tag                                                                                                                                                       |
 |--------------------|----------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| 0.27.0             | Yes            | `mosaicml/composer:latest`, `mosaicml/composer:0.27.0`                 |
-| 0.27.0             | No             | `mosaicml/composer:latest_cpu`, `mosaicml/composer:0.27.0_cpu` |
+| 0.28.0             | Yes            | `mosaicml/composer:latest`, `mosaicml/composer:0.28.0`                 |
+| 0.28.0             | No             | `mosaicml/composer:latest_cpu`, `mosaicml/composer:0.28.0_cpu` |
 <!-- END_COMPOSER_BUILD_MATRIX -->
 
 **Note**: For a lightweight installation, we recommended using a [MosaicML PyTorch Image](#pytorch-images) and manually
diff --git a/docker/build_matrix.yaml b/docker/build_matrix.yaml
index b062299eca..d79f12a1ec 100644
--- a/docker/build_matrix.yaml
+++ b/docker/build_matrix.yaml
@@ -168,9 +168,9 @@
   TORCHVISION_VERSION: 0.18.1
 - AWS_OFI_NCCL_VERSION: ''
   BASE_IMAGE: nvidia/cuda:12.4.1-cudnn-devel-ubuntu22.04
-  COMPOSER_INSTALL_COMMAND: mosaicml[all]==0.27.0
+  COMPOSER_INSTALL_COMMAND: mosaicml[all]==0.28.0
   CUDA_VERSION: 12.4.1
-  IMAGE_NAME: composer-0-27-0
+  IMAGE_NAME: composer-0-28-0
   MOFED_VERSION: latest-23.10
   NVIDIA_REQUIRE_CUDA_OVERRIDE: ''
   PYTHON_VERSION: '3.11'
@@ -178,17 +178,17 @@
   PYTORCH_NIGHTLY_VERSION: ''
   PYTORCH_VERSION: 2.5.1
   TAGS:
-  - mosaicml/composer:0.27.0
-  - ghcr.io/databricks-mosaic/composer:0.27.0
+  - mosaicml/composer:0.28.0
+  - ghcr.io/databricks-mosaic/composer:0.28.0
   - mosaicml/composer:latest
   - ghcr.io/databricks-mosaic/composer:latest
   TARGET: composer_stage
   TORCHVISION_VERSION: 0.20.1
 - AWS_OFI_NCCL_VERSION: ''
   BASE_IMAGE: ubuntu:22.04
-  COMPOSER_INSTALL_COMMAND: mosaicml[all]==0.27.0
+  COMPOSER_INSTALL_COMMAND: mosaicml[all]==0.28.0
   CUDA_VERSION: ''
-  IMAGE_NAME: composer-0-27-0-cpu
+  IMAGE_NAME: composer-0-28-0-cpu
   MOFED_VERSION: latest-23.10
   NVIDIA_REQUIRE_CUDA_OVERRIDE: ''
   PYTHON_VERSION: '3.11'
@@ -196,8 +196,8 @@
   PYTORCH_NIGHTLY_VERSION: ''
   PYTORCH_VERSION: 2.5.1
   TAGS:
-  - mosaicml/composer:0.27.0_cpu
-  - ghcr.io/databricks-mosaic/composer:0.27.0_cpu
+  - mosaicml/composer:0.28.0_cpu
+  - ghcr.io/databricks-mosaic/composer:0.28.0_cpu
   - mosaicml/composer:latest_cpu
   - ghcr.io/databricks-mosaic/composer:latest_cpu
   TARGET: composer_stage
diff --git a/docker/generate_build_matrix.py b/docker/generate_build_matrix.py
index 1fb476b351..1f45638c97 100644
--- a/docker/generate_build_matrix.py
+++ b/docker/generate_build_matrix.py
@@ -244,7 +244,7 @@ def _main():
     composer_entries = []
 
     # The `GIT_COMMIT` is a placeholder and Jenkins will substitute it with the actual git commit for the `composer_staging` images
-    composer_versions = ['0.27.0']  # Only build images for the latest composer version
+    composer_versions = ['0.28.0']  # Only build images for the latest composer version
     composer_python_versions = [PRODUCTION_PYTHON_VERSION]  # just build composer against the latest
 
     for product in itertools.product(composer_python_versions, composer_versions, cuda_options):