Episode 412 - Disaggregated ONTAP (aka NetApp AFX)

About this episode

The episode discusses disaggregated ONTAP, its architecture, and its benefits for modern workloads.

In this episode, Arindam Banerjee and Jeff Baxter join us to discuss disaggregated ONTAP, also known as AFX. We discuss how disaggregated ONTAP separates storage compute from storage capacity, allowing customers to scale performance and capacity independently. This architecture is designed for modern workloads such as AI, machine learning, EDA, media and entertainment, and large-scale unstructured data environments.

People in this episode

Guests: Arindam Banerjee, Jeff Baxter

Topics covered

• disaggregated storage
• ONTAP architecture
• scalable performance
• AI workloads
• machine learning
• media and entertainment

Keywords

• disaggregated ONTAP
• NetApp AFX
• storage compute
• storage capacity
• scalable architecture
• AI
• machine learning
• unstructured data

Mentioned in this episode

Organizations: NetApp

Products: disaggregated ONTAP, NetApp AFX

Places: AI, machine learning, EDA, media and entertainment, large-scale unstructured data environments

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