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Artificial intelligence

NetApp ONTAP for AI [1743-1]

1年前

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
演讲者
Pranoop Erasani
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
Arindam Banerjee
工程副总裁兼技术研究员,NetApp

Arindam 是 NetApp 的第一位技术研究员。他还是首席架构师、NetApp 平台副总裁,并领导 NetApp 的技术愿景、战略和架构。他目前正在主导下一代人工智能基础设施和人工智能数据平台的架构与设计。Arindam 在分布式存储基础设施和数据平台领域拥有超过 25 年的经验。他在 NetApp 工作了 19 年,在文件系统、分布式存储和人工智能领域推动了众多创新。Arindam 撰写或共同撰写了 50 多项专利及专利出版物,在计算机数据系统和技术领域获得了超过 500 次引用。