Hewlett Packard Enterprise Unveils HPE Ezmeral, New Software Portfolio and Brand to Fuel Data-Driven Transformation
Hewlett Packard Enterprise (HPE) introduced HPE Ezmeral, a new brand and software portfolio designed to help enterprises accelerate digital transformation across their organization, from edge to cloud. HPE Ezmeral spans a complete portfolio – including container orchestration and management, AI/ML and data analytics, cost control, IT automation and AI-driven operations, and security – enabling organizations to increase agility and efficiency, unlock insights, and deliver business innovation.
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The HPE Ezmeral portfolio plays an essential role in HPE’s edge-to-cloud platform-as-a-service strategy. Today, HPE also introduced new HPE GreenLake cloud services, which provide an agile, lower cost, and consistent cloud experience everywhere. As part of this news, HPE announced that HPE Ezmeral Container Platform and HPE Ezmeral ML Ops will be made available as cloud services through HPE GreenLake to bring even greater speed and simplicity to containerized application development, and DevOps agility to the ML lifecycle.
HPE Ezmeral Container Platform software provides the flexibility to deploy and manage containerized applications at scale on any infrastructure – in enterprise data centers, colocation facilities, multiple public clouds, and at the edge. Customers can run cloud-native or non-cloud-native applications in containers without costly refactoring, manage multiple Kubernetes clusters with a unified control plane, and leverage a high-performance distributed file system for persistent data and stateful applications through HPE’s proven innovations such as HPE Ezmeral Data Fabric and the KubeDirector open source project. Now HPE Ezmeral Container Platform will also be delivered as a cloud service through HPE GreenLake.
HPE Ezmeral ML Ops software leverages containerization to streamline the entire machine learning model lifecycle across on-premises, public cloud, hybrid cloud, and edge environments. The solution introduces a DevOps-like process to standardize machine learning workflows and accelerate AI deployments from months to days. Customers benefit by operationalizing AI/ML data science projects faster, eliminating data silos, seamlessly scaling from pilot to production, and avoiding the costs and risks of moving data. HPE Ezmeral ML Ops will also now be available through HPE GreenLake.
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