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Explicitly state Databricks runtime version #247

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Explicitly state Databricks runtime version #247

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Explicitly state Databricks runtime version
jacobtomlinson Jun 14, 2023
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Ensure virtualenv is installed
jacobtomlinson Jun 14, 2023
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5 changes: 4 additions & 1 deletion source/platforms/databricks.md
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Expand Up @@ -23,6 +23,8 @@ COPY --from=rapids /rapids/rapids-spec.txt /tmp/spec.txt

RUN conda create --name rapids --file /tmp/spec.txt && \
rm -f /tmp/spec.txt

RUN /databricks/conda/envs/rapids/bin/python -m pip install --upgrade virtualenv
```

```console
Expand All @@ -34,7 +36,8 @@ Push this image to a Docker registry (DockerHub, Amazon ECR or Azure ACR).
## 2. Configure and create GPU-enabled cluster

1. Compute > Create compute > Name your cluster > Select `Multi` or `Single` Node
2. Select a Standard Databricks runtime.
2. Select the 10.4 LTS Standard Databricks runtime.
- **Note** The 12.2 LTS runtime is known to not work with the `databricksruntime/gpu-conda:cuda11` base image
- **Note** Databricks ML Runtime does not support Databricks Container Services
3. Under **Advanced Options**, in the the **Docker** tab select **"Use your own Docker container"**
- In the Docker Image URL field, enter the image that you created above
Expand Down