IBM Fusion is the top data services platform for OpenShift, Red Hat’s leading container management platform. IBM Fusion HCI is an integrated platform designed to speed up deployment and streamline OpenShift management. It enhances operational efficiency by simplifying container and virtual machine management. IBM Fusion accelerates data access and time to value for businesses adopting AI. It ensures the security of critical AI and business applications and data, fostering a secure environment for innovation.
Managing escalating costs of outdated virtual machine infrastructure is a challenge. OpenShift Virtualization reduces TCO by 83%, eliminates hypervisor expenses, and streamlines operations. With Red Hat's 47.8% market share in container software and Fusion HCI enhancing productivity, rely on this solution for exceptional performance and value.
Organizations that are expanding from AI pilot projects to full-scale production systems typically need a set of tools for building and deploying foundation models, a container-based application platform, software-defined storage, and hardware on which to run it all. This IBM publication describes the IBM® solution for running IBM watsonx.data on premises, with IBM Fusion HCI providing an appliance-based hosting platform, and IBM Storage Ceph providing cloud-scale object storage.
Application modernization is a key trend in the business world, prompting organizations to update their infrastructures. Container adoption is on the rise due to its benefits in speeding up application development. Achieving container portability involves supporting hybrid IT for workloads across different environments.
The core value of Fusion, based on "Fusion 5," offers foundational data services for a seamless cross-platform experience. Teams benefit from automated storage provisioning, enhancing productivity. Data resilience ensures availability during disruptions. Robust security measures protect against data loss. Data mobility enables seamless operation across environments. Data cataloging aids data scientists in deriving insights efficiently.
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