Hewlett Packard Enterprise (HPE) has taken the stage at its HPE Discover Barcelona 2025 event to send a clear message to the market: the future of cloud lies in hybrid, automated models that are highly AI-driven. The company announced a series of updates to its HPE GreenLake platform aimed at helping businesses modernize their infrastructure, control costs, and accelerate AI initiatives.
According to HPE, more than 80% of organizations are rethinking where and how they deploy workloads, driven by rising costs, changes in third-party licensing, and the need to combine on-prem data centers with public clouds. GreenLake positions itself as the common operational layer for this hybrid environment: a “hardened operating system” for infrastructure that integrates compute, storage, networking, security, and now a more sophisticated layer of AIOps and AI agents.
Morpheus: Multi-Hypervisor Virtualization Alternative with Native Multi-Hypervisor Capabilities
One of the most notable announcements revolves around HPE Morpheus Software, which the company positions as an enterprise-grade alternative in a virtualization market in rapid transformation. HPE claims that the Morpheus VM Essentials edition can reduce virtualization licensing costs by up to 90% compared to other commercial solutions, thanks to its support for multiple hypervisors and on-demand cloud-like consumption.
Key highlights include:
- Zero Trust Network Security: Morpheus now incorporates software-defined networking capabilities based on HPE Juniper Networking, with integrated microsegmentation to isolate VMs and implement fine-grained security policies without relying on external firewalls.
- Automated Network Provisioning: integration with Apstra Data Center Director will enable automated, consistent configuration of switches and network policies across physical and virtual networks, reducing human errors during VM migration or deployment.
- Distributed Clusters & Synchronous Replication: Morpheus will incorporate stretched cluster technology over the HVM hypervisor, combined with HPE Alletra Peer Persistence, to keep critical applications running even if a full data center goes down, with automatic failover between metropolitan sites.
- Kubernetes on the Same Control Plane: the enterprise version adds full support for Kubernetes and containers on HVM, enabling the operation of cloud-native applications alongside traditional VMs using the same management, security, and lifecycle tools.
- Continuous Data Protection: integration with HPE Zerto Software offers continuous replication and near-instant recovery for critical workloads.
- Backups with Veeam: Morpheus VM Essentials integrates with Veeam Data Platform v13 to provide image-based backups at the hypervisor level and rapid restore options in private cloud environments, including HPE Private Cloud Business Edition.
All these components, together with HPE OpsRamp Software and HPE Zerto, can be purchased separately or as part of the HPE CloudOps Software suite, designed to simplify hybrid cloud operations and unify resource management.
AI and Data: Alletra X10000, Private Cloud AI, and Enhanced Data Protection
In Barcelona, HPE also reinforced its commitment to enterprise AI alongside NVIDIA. The company introduced HPE Alletra Storage MP X10000 Data Intelligence Nodes, based on the NVIDIA AI Data Platform, conceived as an active data layer that enriches real-time information streams for AI pipelines—from data preparation to inference.
Furthermore, HPE Private Cloud AI now features new capabilities:
- NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs across all configurations.
- NVIDIA AI Enterprise, hardened following STIG guidelines and with FIPS enabled for air-gapped environments.
- Specialized tools to simplify the lifecycle management of AI models and cluster operations.
Additionally, HPE announced new backup systems HPE StoreOnce 5720 and 7700, designed to safeguard AI data and mission-critical workloads:
- StoreOnce 5720, a hybrid system balancing performance and capacity.
- StoreOnce 7700, a full-flash solution capable of ingest rates up to 300 TB/hour, positioning it among the fastest scale-up backup systems, helping to cut recovery times in severe incidents by half, according to internal data.
Both models natively integrate with HPE Alletra Storage MP and HPE SimpliVity, enabling direct copies for forensic analysis, testing, or analytics without prior restore to production environments.
End-to-End Security: Confidential Computing on CPUs and GPUs
For regulated industries, HPE emphasized its focus on Confidential Computing. The company collaborates with AMD and Intel on CPU-based confidentiality solutions and with NVIDIA Confidential Computing on GPU-based options, ensuring data, models, and operations stay encrypted both at rest and in use.
The goal is to provide enhanced protection against insider threats and support compliance in sectors such as banking, healthcare, and public sector, especially for deployments on HPE Private Cloud AI and HPE ProLiant Compute DL380a Gen12 servers.
GreenLake: More Visibility, Marketplace, and 0% Financing
Operationally, HPE announced enhancements to its GreenLake consumption model:
- CloudPhysics Plus: advanced analytics to better understand resource usage, plan migrations, and size hybrid infrastructures, expected to be generally available by mid-2026.
- Cloud Commit: now available, providing a consumption commitment framework that balances cost predictability with operational flexibility.
- Renewed GreenLake Marketplace: launching today on HPE.com and accessible via the platform starting January 2026, offering a simpler way to discover, trial, and purchase services and solutions.
To accelerate adoption, HPE Financial Services is expanding its financing programs:
- Three-year 0% financing for HPE CloudOps Software, including Morpheus, OpsRamp, and Zerto when purchased independently.
- Up to 10% savings on HPE Alletra Storage, including the new Alletra X10000, with two months of deferred payments at the start.
A Clear Message to the Market: Hybrid Cloud with Control
With these innovations, HPE signals directly to companies seeking virtualization alternatives and wanting to harness AI without losing data control, emphasizing a coherent operational model between on-prem data centers and public clouds.
The company emphasizes a value proposition centered on cost-performance, control, and data sovereignty, offering concrete tools to reduce complexity—from network and backup automation to deploying private AI clouds in isolated environments.
In a market under significant pressure from licensing costs, virtualization shifts, and the race to industrialize AI, HPE aims for GreenLake to become the platform where enterprises orchestrate their hybrid puzzle without sacrificing performance or security.
via: hpe