update README and version

NVIDIA-Merlin · Feb 13, 2023 · 34cc5d7 · 34cc5d7
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diff --git a/README.md b/README.md
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 distributed-embeddings is a library for building large embedding based (e.g. recommender) models in Tensorflow 2. It provides a scalable model parallel wrapper that automatically distribute embedding tables to multiple GPUs, as well as efficient embedding operations that cover and extend Tensorflow's embedding functionalities.
 
+Refer to [NVIDIA Developer blog](https://developer.nvidia.com/blog/fast-terabyte-scale-recommender-training-made-easy-with-nvidia-merlin-distributed-embeddings/) about Terabyte-scale Recommender Training for more details.
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 ## Features
 
 ### Distributed model parallel wrapper
@@ -22,7 +24,7 @@ Python 3, CUDA 11 or newer, TensorFlow 2
 ### Containers ###
 You can build inside 22.03 or later NGC TF2 [image](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/tensorflow):
 ```bash
-docker pull nvcr.io/nvidia/tensorflow:22.10-tf2-py3
+docker pull nvcr.io/nvidia/tensorflow:23.01-tf2-py3
 ```
 ### Build from source
 

diff --git a/version.txt b/version.txt
@@ -1 +1 @@
-0.2.0
+0.3.0