22/07/2024
The Ideal Data Platform for AI Pipelines, Research and Scientific Data and HPC
High performance computing and scientific research generate 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, managed and protected across its lifecycle, often using different storage and cloud platforms for different stages in the data pipeline.
Quantum is helping many organizations in the HPC, AI and life sciences markets, to build and manage private clouds using a unique architecture designed to reduce costs, improve cost predictability, strengthen cybersecurity and reduce emissions.
Join us to learn more about how Quantum customers are leveraging our end-to-end data platform to accelerate AI pipelines, simplify data management, and cost-effectively archive and access inactive data for decades.
High performance computing and scientific research generate 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 for...
