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Update NGC version references #642

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Jan 28, 2023
Merged

Update NGC version references #642

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ef6888d
Fixes #576; update NGC version references
pdmack Jan 27, 2023
367a01c
Merge branch 'branch-23.01' into pdmack_doc-issue-576
pdmack Jan 27, 2023
e467faa
Updating the DFP Dockerfile version to match
mdemoret-nv Jan 28, 2023
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6 changes: 3 additions & 3 deletions docs/source/cloud_deployment_guide.md
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Expand Up @@ -105,7 +105,7 @@ The Helm chart (`morpheus-ai-engine`) that offers the auxiliary components requi
Follow the below steps to install Morpheus AI Engine:

```bash
helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-ai-engine-22.09.tgz --username='$oauthtoken' --password=$API_KEY --untar
helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-ai-engine-23.01.tgz --username='$oauthtoken' --password=$API_KEY --untar
```
```bash
helm install --set ngc.apiKey="$API_KEY" \
Expand Down Expand Up @@ -147,7 +147,7 @@ replicaset.apps/zookeeper-87f9f4dd 1 1 1 54s
Run the following command to pull the Morpheus SDK Client (referred to as Helm chart `morpheus-sdk-client`) on to your instance:

```bash
helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-sdk-client-22.09.tgz --username='$oauthtoken' --password=$API_KEY --untar
helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-sdk-client-23.01.tgz --username='$oauthtoken' --password=$API_KEY --untar
```

#### Morpheus SDK Client in Sleep Mode
Expand Down Expand Up @@ -185,7 +185,7 @@ kubectl -n $NAMESPACE exec sdk-cli-helper -- cp -RL /workspace/models /common
The Morpheus MLflow Helm chart offers MLFlow server with Triton plugin to deploy, update, and remove models from the Morpheus AI Engine. The MLflow server UI can be accessed using NodePort `30500`. Follow the below steps to install the Morpheus MLflow:

```bash
helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-mlflow-22.09.tgz --username='$oauthtoken' --password=$API_KEY --untar
helm fetch https://helm.ngc.nvidia.com/nvidia/morpheus/charts/morpheus-mlflow-23.01.tgz --username='$oauthtoken' --password=$API_KEY --untar
```
```bash
helm install --set ngc.apiKey="$API_KEY" \
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2 changes: 1 addition & 1 deletion examples/digital_fingerprinting/production/Dockerfile
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Expand Up @@ -14,7 +14,7 @@
# limitations under the License.

ARG MORPHEUS_CONTAINER=nvcr.io/nvidia/morpheus/morpheus
ARG MORPHEUS_CONTAINER_VERSION=v22.09.00-runtime
ARG MORPHEUS_CONTAINER_VERSION=v23.01.00-runtime

FROM ${MORPHEUS_CONTAINER}:${MORPHEUS_CONTAINER_VERSION} as base

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2 changes: 1 addition & 1 deletion examples/digital_fingerprinting/starter/README.md
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Expand Up @@ -20,7 +20,7 @@ We show here how to set up and run the DFP pipeline for three log types: CloudTr

## Environment Setup

Follow the instructions [here](https://github.com/nv-morpheus/Morpheus/blob/branch-22.09/CONTRIBUTING.md) to set up your development environment in either a Docker container or conda environment.
Follow the instructions [here](https://github.com/nv-morpheus/Morpheus/blob/branch-23.01/docs/source/developer_guide/contributing.md) to set up your development environment in either a Docker container or conda environment.

## Morpheus CLI

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2 changes: 1 addition & 1 deletion models/mlflow/README.md
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Expand Up @@ -120,7 +120,7 @@ python publish_model_to_mlflow.py \
## Deployments

The Triton `mlflow-triton-plugin` is installed on this container and can be used to deploy your models from MLflow to Triton Inference Server. The following are examples of how the plugin is used with the `sid-minibert-onnx` model that we published to MLflow above. For more information about the
`mlflow-triton-plugin`, please see Triton's [documentation](https://github.com/triton-inference-server/server/tree/r22.09/deploy/mlflow-triton-plugin)
`mlflow-triton-plugin`, please see Triton's [documentation](https://github.com/triton-inference-server/server/tree/r23.01/deploy/mlflow-triton-plugin)

### Create Deployment

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