Chapter 9. Support requirements and limitations
Review this section to understand the requirements for Red Hat support and any limitations to Red Hat support of Red Hat OpenShift Data Science.
9.1. Supported browsers
Red Hat OpenShift Data Science supports the latest version of the following browsers:
- Google Chrome
- Mozilla Firefox
9.2. Supported services
Red Hat OpenShift Data Science supports the following services:
Table 9.1. Supported services
Anaconda Professional Edition
Anaconda Professional Edition is a popular open source package distribution and management experience that is optimized for commercial use.
IBM Watson Studio
IBM Watson Studio is a platform for embedding AI and machine learning into your business and creating custom models with your own data.
Intel® oneAPI AI Analytics Toolkits
The AI Kit is a set of AI software tools to accelerate end-to-end data science and analytics pipelines on Intel® architectures.
Jupyter is a multi-user version of the notebook designed for companies, classrooms, and research labs.
While every effort is made to make Red Hat OpenShift Data Science resilient to OpenShift node failure, upgrades, and similarly disruptive operations, individual users' notebook environments can be interrupted during these events. If an OpenShift node restarts or becomes unavailable, any user notebook environment on that node is restarted on a different node. When this occurs, any ongoing process executing in the user’s notebook environment is interrupted, and the user needs to re-execute it when their environment becomes available again.
Due to this limitation, Red Hat recommends that processes for which interruption is unacceptable are not executed in the Jupyter notebook server environment on OpenShift Data Science.
Use Pachyderm’s data versioning, pipeline and lineage capabilities to automate the machine learning life cycle and optimize machine learning operations.
Red Hat OpenShift API Management
OpenShift API Management is a service that accelerates time-to-value and reduces the cost of delivering API-first, microservices-based applications.
OpenVINO is an open-source toolkit to help optimize deep learning performance and deploy using an inference engine onto Intel hardware.
Starburst Galaxy is a fully managed service to run high-performance queries across your various data sources using SQL.
9.3. Supported packages
The latest supported notebook server images in Red Hat OpenShift Data Science are installed with Python by default. See the table in Options for notebook server environments for a complete list of packages and versions included in these images.
You can install packages that are compatible with the supported version of Python on any notebook server that has the binaries required by that package. If the required binaries are not included on the notebook server image you want to use, contact Red Hat Support to request that the binary be considered for inclusion.
You can install packages on a temporary basis by using the
pip install command. You can also provide a list of packages to the
pip install command using a
requirements.txt file. See Installing Python packages on your notebook server for more information.
You must re-install these packages each time you start your notebook server.
You can remove packages by using the
pip uninstall command.