NetApp and NVIDIA Supercharge Deep Learning with New AI Architecture

“IAS is excited to be a launch partner for the ONTAP AI proven architecture,” said Amy Rao, CEO of IAS. “Moving large datasets from edge to core or core to cloud is becoming impractical, and customers are looking for ways to maximize data value independent of location. The Data Fabric—combined with NetApp cloud-connected all-flash technology and NVIDIA GPU-assisted compute and all packaged in a prevalidated configuration—gives customers the choice, control, efficiency, and availability required for deep learning environments.”

“Customers deploying AI and deep learning are looking for ways to reduce their time to outcomes. A highly available and powerful deep learning environment ensures that data scientists stay productive,” said Bob Olwig, vice president of Corporate Business Development, WWT. “ONTAP AI is a proven architecture from NetApp and NVIDIA that complements WWT’s broad portfolio of solutions and services for deep learning, giving customers an AI stack that can be implemented quickly with higher efficiency and lower risk.”

Additional Resources:

  • To learn more about NetApp ONTAP AI here
  • Read Octavian’s post about the announcement NetApp’s blog
  • Read the NVIDIA blog
  • Join the broadcast event “Accelerate Your Journey to AI” on August 1 at 10 a.m. PT here

About NetApp

NetApp is the data authority for hybrid cloud. We provide a full range of hybrid cloud data services that simplify management of applications and data across cloud and on-premises environments to accelerate digital transformation. Together with our partners, we empower global organizations to unleash the full potential of their data to expand customer touchpoints, foster greater innovation, and optimize their operations. For more information, visit www.netapp.com. #DataDriven

© 2018 NetApp, Inc. All Rights Reserved. NETAPP, the NETAPP logo, and the marks listed at http://www.netapp.com/TM are trademarks of NetApp, Inc. Other company and product names may be trademarks of their respective owners.



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