Data analytics, deep learning, and other AI/ML applications drive multi-billion-dollar flash memory market
Virtual Flash Memory Summit (FMS), the world’s premiere flash memory conference and exposition, announces a major program track on Storage for Artificial Intelligence and Machine Learning (AI/ML) Applications.
The new track features talks on storage strategies, model training, workloads, NVMe and logical volumes, persistent memory, software-defined architectures, and accelerating the GPU data path. It also includes panels on model scalability and long-term horizons, plus a keynote by Geoffrey Burr, Distinguished Researcher at IBM Almaden Research Center. Virtual Flash Memory Summit 2020 will be held on November 10-12 and expects to draw more than 6,000 attendees.
AI/ML applications require vast amounts of low latency, high-throughput flash storage. Cloud and enterprise data center architectures must be optimized to train deep neural networks and analyze petabyte-scale datasets, all while satisfying critical cost constraints.
Denodo, the leader in data virtualization, today announced that its new Denodo Platform version 8.0 accelerates hybrid/multicloud integration, automates data management with artificial intelligence (AI)/machine learning (ML), and boosts performance with smart query acceleration. By further augmenting the Denodo Platform’s already advanced data integration, management, and delivery capabilities with intelligent recommendations, hyper performance, and PaaS support, Denodo Platform 8.0 advances data virtualization into a logical data fabric.
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“Data fabric is a hot, emerging market that delivers a unified, intelligent, and integrated end-to-end platform to support new and emerging use cases,” wrote Noel Yuhanna, VP and principal analyst at Forrester Research, and author of The Forrester Wave TM: Enterprise Data Fabric, Q2 2020. The report also states, “Denodo is known for data virtualization, and over the years it has also evolved into