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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
演講者
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
工程副總裁兼技術研究員,NetApp

Arindam 是 NetApp 的第一位技術院士。他同時也是首席架構師暨 NetApp 平台副總裁,負責 NetApp 的技術願景、策略和架構。他目前正引領下一代 AI 基礎架構和 AI 資料平台的架構與設計。Arindam 在分散式儲存基礎架構和資料平台領域擁有超過 25 年的經驗。他在 NetApp 工作了 19 年,並在檔案系統、分散式儲存設備和 AI 領域推動了多項創新。Arindam 撰寫或共同撰寫了超過 50 項專利和專利出版物,這些專利在電腦資料系統和技術領域已獲得超過 500 次引用。