Accelerate Disaggregated Storage to Optimize Data-Intensive Workloads

Presented by

Moderator: Tim Lustig, NVIDIA; Panelists: Kfir Wolfson, Pliops and John F. Kim, NVIDIA

About this talk

Thanks to big data, artificial intelligence (AI), the Internet of things (IoT), and 5G, demand for data storage continues to grow significantly. The rapid growth is causing storage and database-specific processing challenges within current storage architectures. New architectures, designed with millisecond latency, and high throughput, offer in-network and storage computational processing to offload and accelerate data-intensive workloads. Join technology innovators as they highlight how to drive value and accelerate SSD storage through the specialized implementation of key value technology to remove inefficiencies through a Data Processing Unit for hardware acceleration of the storage stacks, and a hardware-enabled Storage Data Processor to accelerate compute-intensive functions. By joining, you will learn why SSDs are a staple in modern storage architectures. These disaggegated systems use just a fraction of computational load and power while unlocking the full potential of networked flash storage.

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