Storage Architectures for the Hyperscale Data Era

High performance computing generates huge volumes of data – mostly unstructured files and objects that must be processed quickly, then preserved and protected for many years and even decades. Applications like AI model training, machine learning, deep learning, and other forms of data analytics are accelerating data growth; many organizations are dealing with billions of files and exabytes of capacity. This challenge is compounded because data must be moved and managed across its lifecycle, often using different storage platforms and cloud platforms for different stages in the data pipeline. Quantum is the # 1 provider of cold storage infrastructure to the world’s largest hyperscalers, and we are helping HPC organizations to build and manage private clouds using a unique architecture designed to reduce costs, improve cost predictability, strengthen cybersecurity and reduce emissions. Join this session to learn more about how hyperscale and cloud-native storage technologies can help you accelerate your data pipeline, simplify data management, and cost-effectively access inactive data for decades.