Streamline Hybrid Cloud for Virtual Machines, Kubernetes, and AI with Red Hat OpenShift.
IBM Fusion is a self-service hybrid cloud platform for Red Hat OpenShift that simplifies Kubernetes and management of virtual machines. It integrates with watsonx, IBM's AI platform, enabling efficient deployment and management of AI workloads. This combination offers a turnkey solution for running OpenShift applications and watsonx.data in hybrid cloud environments, making it easier for organizations to adopt and scale AI technologies.
Reducing total cost of ownership with IBM Fusion and Red Hat OpenShift Container Platform
Empower AI infrastructure with IBM Fusion HCI
Integrates hardware, Red Hat OpenShift and data services, eliminating compatibility issues and reducing setup time enabling you to get your containerized applications up and running in record time enabling faster innovation and reduced time-to-market.
Simplifies infrastructure and data services for OpenShift applications by enabling platform engineers to centrally manage OpenShift, streamline operations, optimize resource utilization and reduce operational complexities and costs.
Enhances productivity by simplifying infrastructure management for platform engineers, empowering developers to focus on coding and innovation and promoting collaboration between both groups through a standardized, streamlined environment.
Enhances application availability and reduces risks of network and storage-related issues. A dedicated high-speed internal network paired with NVMe storage ensures that performance goals are met. Robust data replication paired with failover strategies, ensure uninterrupted availability of mission-critical applications.
*vs not using IBM Fusion System caching capabilities with watsonx.data.
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Platform engineering and application development teams gain productivity from Fusion's automation for data storage provisioning.
Ensures that data is always available, even during disruptive events or system failures.
Data encryption, retention and recovery to protect from intentional or unintentional data loss.
Apps need to run from the edge, to the core and to the cloud, which also requires your data to be mobile.
Data scientists seek simple and fast ways to create actionable data insights at scale.
*IBM watsonx.data with Presto C++ v0.286 and query optimizer on IBM Fusion HCI, tested internally by IBM, was able to deliver better price performance compared to Databrick’s Photon engine, with equal query runtime at less than 60% of the cost, derived from public 100 TB TPC-DS Query benchmarks.
Read the IBM Redbooks
Leverage an enterprise-ready AI and data platform designed to multiply the impact of AI across your business.
Leverage a scale-out file and object, software-defined storage platform designed for AI, machine learning and high-performance computing workloads.
Capitalize on an open-source, software-defined storage solution designed to address the block, file and object storage needs of modern enterprises for general purpose workloads.