Support Matrix

The tables on this page show the tools and frameworks, HPE Ezmeral Data Fabric,operating system versions, and GPU models that are supported for HPE Ezmeral Unified Analytics Software releases.

Tools and Frameworks

HPE Ezmeral Unified Analytics Software supports the following Tools & Frameworks in the versions listed:

HPE Ezmeral Unified Analytics Software Airflow EzPresto Feast Kubeflow Livy MLflow HPE MLDE Ray Spark Applications Spark History Server Spark Operator Superset
1.2.0 2.7.0 0.281 0.34.1 1.7 0.7.0 2.7.1 N/A 2.6.1

3.4.1

3.3.1

 3.4.1 1.3.8.3-hpe 2.1.1
1.1.0 2.6.1 0.269 0.31.0 1.7.0 0.7.0.302 2.4.0 N/A 2.4.0

3.4.0

3.3.1

 3.4.0 1.3.8.2-hpe 2.1.0
1.0.0 2.5.1 0.269 0.29.0 1.6.0 0.7.0 2.1.1 N/A 2.2.0 3.3.1 3.3.1 1.3.8.2-hpe 2.0.1

Notebook Images

The following table lists the default notebook images and their packages in HPE Ezmeral Unified Analytics Software 1.2.0:
Notebook Images Packages General Packages
gcr.io/mapr-252711/kubeflow/notebooks/jupyter-scipy:ezaf-fy23-q4-sp4-r9
  • kfp 1.8.22
  • kfp-pipeline-spec 0.1.16
  • kfp-server-api 1.8.5
  • feast 0.33.1
  • kserve 0.11.1
  • mlflow 2.7.1
  • kubeflow-katib 0.12.0
  • kubeflow-kale 0.7.0
  • presto-python-client 0.8.3
  • ray 2.6.1 (in separate 'Ray' kernel. Note that in common ipython kernel ray 2.4.0 version is available.)
  • Conda Python 4.10.1-4
gcr.io/mapr-252711/kubeflow/notebooks/jupyter-pytorch-full:ezaf-fy23-q4-sp4-r9
  • JupyterLab 3.4.3
  • PyTorch (CPU)
    • torch 1.8.1
    • torchvision 0.9.1
    • torchaudio 0.8.1
  • PyTorch packages
gcr.io/mapr-252711/kubeflow/notebooks/jupyter-pytorch-cuda-full:ezaf-fy23-q4-sp4-r9
  • JupyterLab 3.4.3
  • PyTorch (CUDA)
    • torch 1.8.1+cu111
    • torchvision 0.9.1+cu111
    • torchaudio 0.8.1
  • PyTorch packages
gcr.io/mapr-252711/kubeflow/notebooks/jupyter-tensorflow-full:ezaf-fy23-q4-sp4-r9
gcr.io/mapr-252711/kubeflow/notebooks/jupyter-tensorflow-cuda-full:ezaf-fy23-q4-sp4-r9
gcr.io/mapr-252711/kubeflow/notebooks/jupyter-data-science:ezaf-fy23-q4-sp4-r9
gcr.io/mapr-252711/kubeflow/notebooks/codeserver:ezaf-fy23-q4-sp4-r9
  • code-server 4.3.0 (Visual Studio Code)
  • Python extension 2021.5.842923320
    NOTE
    This is not the Python language version.

To learn more about descriptions and uses of Notebook images, see Notebook Images Overview.

HPE Ezmeral Data Fabric

The following table lists the versions of HPE Ezmeral Data Fabric that you can connect HPE Ezmeral Unified Analytics Software to externally:
HPE Ezmeral Unified Analytics Software HPE Ezmeral Data Fabric
1.2.0
  • 6.2.0, 7.0.0, 7.1.0, 7.2.0, 7.3.0, 7.4.0
1.1.0
  • 6.2.0, 7.0.0, 7.2.0
1.0.0
  • 7.0.0, 7.2.0

Operating System

HPE Ezmeral Unified Analytics Software supports the following operating systems in the versions listed:
HPE Ezmeral Unified Analytics Software RHEL Version Rocky Version
1.2.0 8.x1 8.x2
1.1.0 8.x1 8.x2

1Only RHEL 8.8 is supported on GPU hosts.

2There is no GPU support for Rocky 8.x, as NVIDIA does not support the GPU operator running on Rocky 8.x.

GPU Models

HPE Ezmeral Unified Analytics Software supports the following GPU models:
HPE Ezmeral Unified Analytics Software GPU Model
1.2.0

NVIDIA A100
1.1.0

NVIDIA A100