
Modern data strategies aren’t about choosing between on-premises and cloud. They’re about placing data where it delivers the best combination of performance, protection, and economics, then making that data accessible to AI wherever it lives. The real challenge is doing so without creating additional silos, tools, operational burden, or cost.
See how NetApp provides a consistent data infrastructure and operating model across on-premises and private data center environments and every major hyperscaler through NetApp Console. Whether data resides on ONTAP, StorageGRID, E-Series, cloud-native storage services, or is consumed through Keystone, you can manage data consistently, access it wherever AI needs it, and avoid the cost and complexity of fragmented tools and operations.
You’ll learn how a single operational model and governance framework simplify management across environments while providing the flexibility to consume infrastructure as CapEx, OpEx, subscription, or fully managed services. The result is greater agility, lower operational overhead, and the freedom to adapt as business requirements, infrastructure costs, and AI demands evolve.
Featuring
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* Kummy Doraiswamy, Director of Global IT, GSK
* Jonathan Bletscher, SVP, Head of Infrastructure Platform Engineering & Delivery, SAP SE
* Jason Hardy, VP, Storage Technology, NVIDIA
* Naveen Chand, VP, Product Management, NetApp
* Ivan Iannccone, BU VP, Keystone, NetApp
* Pravjit Tiwana, SVP & GM Cloud Storage, NetApp
Learn more
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Get the latest info – https://www.netapp.com
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