NetApp ONTAP for AI [1743-1]

Artificial intelligence

NetApp ONTAP for AI [1743-1]

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Explore the evolution of NetApp ONTAP architecture and how it is being used to service AI workloads. NetApp ONTAP provides best-in-class infrastructure for AI through cost-effective performance scaling, increased density, and power efficiency.

ONTAP data management software

Palestrantes

Pranoop Erasani

Pranoop Erasani is vice president of engineering in the Shared Platform team at NetApp, where he is responsible for AI/ML, NAS, and replication technologies for NetApp’s hybrid cloud storage platform, ONTAP. In this role, he is tasked with building a cost-effective next-generation ONTAP data platform optimized for AI/ML applications. Leveraging the best of ONTAP data management capabilities, the next-generation data platform for AI/ML will not only be optimized for all AI workflows of training, inference, and checkpointing, it will also provide the ability to make data ready for AI/ML applications natively on storage.

Arindam Banerjee

Vice President Engineering and Technical Fellow, NetApp

Arindam is NetApp’s first Technical Fellow. He is also the Chief Architect, VP of NetApp Platforms and leads the technology vision, strategy and architecture for NetApp. He is currently spearheading the architecture and design for next generation of AI infrastructure and AI data platforms. Arindam has more than 25 years of experience in distributed storage infrastructure and data platforms. He has been in NetApp for 19 years and has championed many innovations in the areas of filesystems, distributed storage, and AI. Arindam has authored/co-authored more than 50 patents and patent publications that have received over 500 citations for reference in the field of computer data systems and technology.