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Available patches for Jupyter Notebooks with Python 3.6 for GPU for IBM Cloud Pak for Data

Preventive Service Planning


Abstract

This document lists the available patches for the Jupyter Notebooks with Python 3.6 for GPU service on IBM Cloud Pak for Data. Not all versions include patches. Only versions that include patches are shown.

Content

Use the following links to locate the patches for each Cloud Pak for Data version:

 
Cloud Pak for Data 3.0.1 patches
cpd-3.0.1-runtime-addon-gpupy36-patch-5
Patch name cpd-3.0.1-runtime-addon-gpupy36-patch-5
Released on 12 February 2021
Service assembly runtime-addon-gpupy36
Applies to service version Jupyter notebooks with Python 3.6 for GPU 3.0.1
Applies to platform version Cloud Pak for Data 3.0.1
Patch type
Cumulative
Description
The patch includes the following fix:
  • Security fixes
Instructions
cpd-3.0.1-runtime-addon-gpupy36-patch-4
Patch name cpd-3.0.1-runtime-addon-gpupy36-patch-4
Released on 14 December 2020
Service assembly runtime-addon-gpupy36
Applies to service version Jupyter notebooks with Python 3.6 for GPU 3.0.1
Applies to platform version Cloud Pak for Data 3.0.1
Patch type
Cumulative
Description
The patch includes the following fix:
  • Security fixes.
Instructions
cpd-3.0.1-runtime-addon-gpupy36-patch-3
Patch name cpd-3.0.1-runtime-addon-gpupy36-patch-3
Released on 7 October 2020
Service assembly runtime-addon-gpupy36
Applies to service version Jupyter notebooks with Python 3.6 for GPU 3.0.1
Applies to platform version Cloud Pak for Data 3.0.1
Patch type
Cumulative
Description
The patch includes the following fix:
  • Fixed the patch install mechanism to support the Red Hat OpenShift 4.5 client.
Instructions
cpd-3.0.1-runtime-addon-gpupy36-patch-2
Patch name cpd-3.0.1-runtime-addon-gpupy36-patch-2
Released on 2 September 2020
Service assembly runtime-addon-gpupy36
Applies to service version Jupyter notebooks with Python 3.6 for GPU 3.0.1
Applies to platform version Cloud Pak for Data 3.0.1
Patch type
Cumulative
Description
The patch includes the following fixes and enhancements:
  • Support for Red Hat OpenShift 4.5
  • Fix security vulnerabilities.
Instructions
Important: If you're installing this patch on OpenShift 4.5, the OpenShift client 4.3.x is required. The oc run command in OpenShift client 4.5.x no longer creates kubenetes jobs.
 
cpd-3.0.1-runtime-addon-gpupy36-patch-1
Patch name cpd-3.0.1-runtime-addon-gpupy36-patch-1
Released on 31 July 2020
Service assembly runtime-addon-gpupy36
Applies to service version Jupyter notebooks with Python 3.6 for GPU 3.0.1
Applies to platform version Cloud Pak for Data 3.0.1
Patch type
Cumulative
Description
The patch includes the following fixes:
  • Fixed security vulnerabilities.
  • Fixed autcompletion in Jupyterlab.
  • Fixed db2 driver on ppc.
Instructions See Applying patches.
Cloud Pak for Data 2.5.0 patches
cpd-2.5.0.0-runtime-addon-gpupy36-patch-6
Patch name cpd-2.5.0.0-runtime-addon-gpupy36-patch-6
Released on 24 February 2021
Service assembly runtime-addon-gpupy36
Applies to service version Jupyter notebooks with Python 3.6 for GPU 2.5.0
Applies to platform version Cloud Pak for Data 2.5
Patch type
Cumulative
Prerequisites:
Description
The patch includes the following fixes:
  • Security fixes.
Instructions See Applying patches.
cpd-2.5.0.0-runtime-addon-gpupy36-patch-5
Patch name cpd-2.5.0.0-runtime-addon-gpupy36-patch-5
Released on 01 September 2020
Service assembly runtime-addon-gpupy36
Applies to service version Jupyter notebooks with Python 3.6 for GPU 2.5.0
Applies to platform version Cloud Pak for Data 2.5
Patch type
Cumulative
Prerequisites:
Description This patch includes security fixes for the service.
Instructions See Applying patches.
cpd-2.5.0.0-runtime-addon-gpupy36-patch-4
Patch name cpd-2.5.0.0-runtime-addon-gpupy36-patch-4
Released on 29 May 2020
Service assembly runtime-addon-gpupy36
Applies to service version Jupyter notebooks with Python 3.6 for GPU 2.5.0
Applies to platform version Cloud Pak for Data 2.5
Patch type
Cumulative
Prerequisites:
Description This patch includes the following fixes:
  • fix project-lib file save location.
  • disable nbdiff for non-JupyterLab runtimes.
Instructions See Applying patches.

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Document Information

Modified date:
19 April 2021

UID

ibm15693522