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microsoft · Apr 14, 2023 · 2dcf60d · 2dcf60d
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diff --git a/docs/developer-guides/using-docker.mdx b/docs/developer-guides/using-docker.mdx
@@ -29,7 +29,7 @@ You need to [clone the code](./development.md#set-up) first before building the
 export DOCKER_BUILDKIT=1
 docker buildx build \
   --platform linux/amd64 --cache-to type=inline,mode=max \
-  --tag superbench-dev --file dockerfile/cuda11.8.dockerfile .
+  --tag superbench-dev --file dockerfile/cuda12.1.dockerfile .
 ```
 
 </TabItem>

diff --git a/docs/getting-started/run-superbench.md b/docs/getting-started/run-superbench.md
@@ -27,7 +27,7 @@ sb deploy -f remote.ini --host-password [password]
 :::note Note
 You should deploy corresponding Docker image to use release version, for example,
 
-`sb deploy -f local.ini -i superbench/superbench:v0.8.0-cuda11.8`
+`sb deploy -f local.ini -i superbench/superbench:v0.8.0-cuda12.1`
 
 You should note that version of git repo only determines version of sb CLI, and not the sb container. You should define the container version even if you specified a release version for the git clone.
 

diff --git a/docs/user-tutorial/container-images.mdx b/docs/user-tutorial/container-images.mdx
@@ -29,7 +29,7 @@ available tags are listed below for all stable versions.
 
 | Tag               | Description                        |
 |-------------------|------------------------------------|
-| v0.8.0-cuda11.8   | SuperBench v0.8.0 with CUDA 11.8   |
+| v0.8.0-cuda12.1   | SuperBench v0.8.0 with CUDA 12.1   |
 | v0.8.0-cuda11.1.1 | SuperBench v0.8.0 with CUDA 11.1.1 |
 | v0.7.0-cuda11.8   | SuperBench v0.7.0 with CUDA 11.8   |
 | v0.7.0-cuda11.1.1 | SuperBench v0.7.0 with CUDA 11.1.1 |

diff --git a/website/blog/2023-04-10-release-0-8.md → website/blog/2023-04-14-release-0-8.md b/website/blog/2023-04-10-release-0-8.md → website/blog/2023-04-14-release-0-8.md
@@ -24,6 +24,9 @@ You can install and try superbench by following [Getting Started Tutorial](https
 - Support cgroup V2 when read system metrics in monitor.
 - Fix analyzer bug in Python 3.8 due to pandas api change.
 - Collect real-time GPU power in monitor.
+- Remove unreachable condition when write host list in mpi mode.
+- Upgrade Docker image with cuda12.1, nccl 2.17.1-1, hpcx v2.14, and mlc 3.10.
+- Fix wrong unit of cpu-memory-bw-latency in document.
 
 ### Micro-benchmark Improvements
 
@@ -38,3 +41,4 @@ You can install and try superbench by following [Getting Started Tutorial](https
 
 - Fix torch.dist init issue with multiple models.
 - Support TE FP8 in BERT/GPT2 model.
+- Add num_workers configurations in model benchmark.