In this informative article you learn how HPE is helping you reimagine your hybrid cloud and data strategy. The piece explains how new unified private cloud platforms give you cloud-like agility with on-premises control, so you can modernize applications at your own pace while managing risk and compliance. You'll see how integrated data platforms help you turn scattered data into a consistent foundation for analytics and AI, improving time to insight and making AI initiatives easier to operationalize across your organization. As an HPE partner, we can help you assess your current environment, map it to these new HPE capabilities, and design a realistic adoption roadmap. Read the full article and contact us today to get started.
What is HPE GreenLake and how does it help modernize our IT?
HPE GreenLake is HPE’s unified cloud platform that brings together private cloud, data, and protection services under one operating model. Instead of stitching together multiple vendors and tools, you use a single platform to run and manage your virtualized and cloud-native workloads.
Key ways it helps enterprises modernize:
- Unified operating model: Manage private cloud, data, and protection together, rather than in separate silos. This helps standardize operations across hybrid and multicloud environments.
- Cost and efficiency gains: The new HPE Private Cloud systems are built on HPE ProLiant Compute Gen12, which delivers improved performance per watt and higher workload consolidation, supporting better total cost of ownership (TCO).
- Support for AI and cloud-native: GreenLake is designed for organizations that are rapidly modernizing for AI and cloud-native runtimes, helping them manage, protect, and scale these environments more easily.
- Integrated data protection: Built-in integrations with HPE Zerto Software, Veeam Data Platform, and HPE StoreOnce provide continuous data protection, efficient backup, and fast recovery from cyber events.
Overall, GreenLake helps you rethink how you operate IT by providing a cohesive, single-vendor platform that supports modernization, resilience, and AI data readiness at scale.
How does HPE Private Cloud support both VMs and containers?
The latest generation of HPE Private Cloud is designed to unify management of both virtual machines (VMs) and containers so you don’t have to run them on separate stacks.
Here’s how it supports your transition:
- Unified Kubernetes and VM management: HPE Private Cloud now offers Kubernetes-based management for VMs and containers on a single platform, with independent scaling for cloud-native workloads.
- Smooth upgrade path: Existing HPE Private Cloud Business Edition customers can upgrade their software to manage both VMs and Kubernetes using their current infrastructure, avoiding a rip-and-replace approach.
- Built on HPE ProLiant Gen12: The new system uses HPE ProLiant Compute Gen12 for higher performance per watt, better workload consolidation, and enhanced security via HPE Integrated Lights-Out (iLO).
- Migration from VMware: HPE Zerto Software enables live workload migration from VMware environments to HPE virtual machines with continuous data protection and ultra-fast granular recovery.
- Integrated backup and resilience:
- Veeam Data Platform provides agentless, host-level, image-based backup and cross-platform recovery.
- HPE StoreOnce delivers space-efficient backup, including for hyperconverged edge use cases via HPE SimpliVity and StoreOnce Gen5.
For organizations that want a broader hybrid and multicloud operating model, HPE Private Cloud also offers a streamlined upgrade path to the enterprise edition of HPE Morpheus Software for orchestration, migration, and automation across environments.
How does HPE improve AI data readiness and resilience?
HPE is expanding its unified data platform to help organizations prepare, manage, and protect data for AI and modern workloads across hybrid environments.
Key capabilities include:
- Unified file and object storage for AI pipelines:
- HPE Alletra Storage MP X10000 now provides native file storage alongside object storage on a single platform.
- It scales up to 16 nodes and 23 PB raw capacity, and offers a 100% data availability guarantee to keep applications running without disruption.1
- RDMA-enabled file storage (building on S3 over RDMA) is designed to speed access for AI training, inference, and KV cache workloads.
- For data protection, the X10000 delivers backup ingest performance of up to 2.5 PB/hour using the Data Protection Accelerator Node.
- High-performance, resilient block storage:
- HPE Alletra Storage MP B10000 adds real-time, agentic AI support that autonomously detects, analyzes, and resolves storage issues.
- It offers a 5:1 data reduction guarantee to improve efficiency and lower cost per TB.
- Scaling from four to six controller nodes provides up to 50% more performance and built-in dual-node fault tolerance.
- Data fabric for hybrid AI data management:
- HPE Data Fabric Software introduces policy-based data placement and movement to prepare data for AI across hybrid environments.
- A conversational interface and agentic AI assistant provide natural language access to the global namespace for faster insights and automated reporting.
- Enhanced metadata and support for open standards like Apache Polaris improve visibility, governance, and compliance.
- AI-powered cyber resilience:
- HPE Zerto now includes an AI assistant and integration with Microsoft Defender for real-time threat visibility and faster recovery.
- This builds on orchestrated recovery at scale to help organizations recover quickly and confidently from disruptions.
Together, these capabilities help you reimagine how data is stored, protected, and activated for AI—improving performance, resilience, and governance across your enterprise data landscape.
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