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- Artificial Intelligence
- Public and Hybrid Cloud
- Virtualization
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Containers
- Red Hat OpenShift with NetApp
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The world of analytics and data science touches multiple disciplines in IT and business:
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The data scientist needs the flexibility to use their tools and libraries of choice.
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The data engineer needs to know how the data flows and where it resides.
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A DevOps engineer needs the tools to integrate new AI and ML applications into their CI and CD pipelines.
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Cloud administrators and architects must be able to set up and manage hybrid cloud resources.
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Business users want to have access to analytics, AI, ML, and DL applications.
In this technical report, we describe how NetApp AFF, E-Series, StorageGRID, NFS direct access, Apache Spark, Horovod, and Keras help each of these roles bring value to business.