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.
On June 29, 2021, SNIA Compute, Memory and Storage Initiative will host a lively webcast discussion on today’s storage challenges in an aggregated storage world and if a disaggregated storage model could optimize data-intensive workloads. We’ll talk about the concept of a Data Processing Unit (DPU) and if a DPU should be combined with a storage data processor to accelerate compute-intensive functions. We’ll also introduce the concept of key value and how it can be an enabler to solve storage problems.
Join moderator Tim Lustig, Co- Chair of the CMSI Marketing Committee, and speakers John Kim from NVIDIA and Kfir Wolfson from Pliops as we shift into overdrive to accelerate disaggregated storage. Register now for this free webcast.