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HPE Expands GreenLake and Advances Virtualization, AI Storage, and Data Resilience at Discover Barcelona 2025
A set of new and expanded capabilities across hybrid cloud, virtualization, networking, silicon, and data protection to support secure, cost-efficient, AI-ready enterprise operations.
12/09/2025
Key Highlights
- In virtualization and hybrid cloud, expanded Morpheus platform with software-defined networking, automated provisioning, stretched cluster support for VMs, and full Kubernetes/container support on the HVM hypervisor.
- New integrations for the Alletra Storage MP X10000 Data Intelligence Node, including the NVIDIA AI Data Platform, to enhance data preparation for AI workloads.
- Private Cloud AI: Enhanced configurations with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, STIG-hardened AI software for regulated environments, and broader confidential computing support.
- GPU Fractionalization: Added operational tools like GPU fractionalization (NVIDIA MIG) to optimize utilization for LLM fine-tuning and inference.
- Data Protection: Introduced two new StoreOnce platforms (5720 and all-flash 7700) for hybrid and high-performance data resilience.
- GreenLake Ecosystem: Relaunched the GreenLake Marketplace, introduced Cloud Commit for predictable spending, and updated financial services programs.
The News
In virtualization and hybrid cloud, expanded Morpheus platform with software-defined networking, automated provisioning, stretched cluster support for VMs, and full Kubernetes/container support on the HVM hypervisor.
New integrations for the Alletra Storage MP X10000 Data Intelligence Node, including the NVIDIA AI Data Platform, to enhance data preparation for AI workloads.
Private Cloud AI: Enhanced configurations with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, STIG-hardened AI software for regulated environments, and broader confidential computing support.
GPU Fractionalization: Added operational tools like GPU fractionalization (NVIDIA MIG) to optimize utilization for LLM fine-tuning and inference.
Data Protection: Introduced two new StoreOnce platforms (5720 and all-flash 7700) for hybrid and high-performance data resilience.
GreenLake Ecosystem: Relaunched the GreenLake Marketplace, introduced Cloud Commit for predictable spending, and updated financial services programs.
Analyst Take
HPE’s updates at Discover Barcelona 2025 points to a company shaping a more cohesive hybrid cloud and AI operating model. The individual announcements vary in maturity, but together they indicate a strategic direction that responds to three customer priorities we hear consistently: simplifying virtualization choices, strengthening data resilience, and making AI deployments more predictable and secure.
Enterprises rethinking their virtualization strategy are looking for realistic alternatives that balance cost, operational simplicity, and continuity. The new Morpheus capabilities help move HPE closer to that requirement. Support for containers and Kubernetes on the HVM hypervisor, tighter integration with Zerto and Veeam, and new stretched cluster capabilities indicate a platform that is broadening rather than fragmenting.
The value is clearest in mixed environments where customers need to run virtual machines and cloud-native applications side by side while maintaining consistent protection and policy control. HPE is not alone in addressing the VMware transition, but it is establishing a credible path that many enterprises will evaluate in 2026.
The integration of software-defined networking for HVM, along with Apstra-driven automation, strengthens the operational story. Many organizations underestimate how much network variability complicates virtualization migrations. Policy consistency and automated switch configuration address real-world pain points. The stretched cluster work, combined with Alletra Peer Persistence, adds resilience for customers that cannot tolerate application downtime. These capabilities help HPE position itself as a pragmatic option for customers building a more distributed hybrid cloud.
The Private Cloud AI refresh reflects a steady progression toward more secure and performant AI platforms. Blackwell GPUs across configurations, hardened NVIDIA AI Enterprise for regulated environments, and expanding confidential computing support are all aligned with the needs of enterprises that want AI infrastructure without creating new security exposure. These updates will not transform the AI platform market on their own, but they add to HPE’s competitiveness in sovereign and enterprise-controlled deployments.
The Alletra Storage MP X10000 Data Intelligence Node was introduced earlier this week, yet the expanded integration with the NVIDIA AI Data Platform brings more clarity to how HPE plans to support data-intensive AI pipelines. The concept of an active data layer that enriches and organizes information is becoming a prerequisite for scale. HPE’s approach is still maturing, but the alignment between storage, data services, and GPU-accelerated pipelines is moving in the right direction.
The new StoreOnce 5720 and 7700 platforms stand out as new additions. High ingest performance, lower recovery times, and direct mount capabilities for forensics and testing point to a more integrated cyber resilience strategy. These systems align well with the operational realities of AI and virtualization workloads, where recovery speed and clean-room isolation are becoming central requirements.
Cloud Commit provides a stable financial framework that reduces the cost uncertainty that often slows hybrid cloud and data protection projects. By aggregating spend across a wide catalog of GreenLake services, customers gain more flexibility to adopt the new capabilities announced at Discover Barcelona without renegotiating financial terms. The fundamentals are sound and the program aligns with what many enterprises want: predictable economics and a smoother path to modernization.
In our view, HPE is using the Discover Barcelona 2025 event to advance a hybrid cloud narrative that links virtualization, AI, networking, and data protection under a more consistent operating model. The strategy is still under construction, and customers will still need to evaluate maturity across individual components. Even so, the coherence of the portfolio is improving, and the new capabilities address specific pressure points that enterprises are navigating as they modernize for AI and hybrid cloud scale.
What Was Announced
HPE introduced a group of updates to its hybrid cloud, virtualization, AI infrastructure, and data protection portfolios. Some elements are entirely new, while others expand capabilities that were introduced earlier in the week or earlier in the year. Together, they advance HPE’s GreenLake operating model and broaden the set of enterprise options for virtualization, AI pipelines, and data resilience.
HPE expanded its Morpheus software portfolio with new capabilities designed to give enterprises more control over virtualization strategy and hybrid cloud operations.
Key updates include:
- Software-defined networking for the HVM hypervisor using HPE Juniper Networking technology. This introduces zero-trust segmentation and consistent policy enforcement across virtual machines.
- Automated network provisioning through Apstra Data Center Director, which enables switch configuration and unified policy control across physical and virtual environments.
- Stretched cluster support with synchronous replication for VMs running on HVM, allowing applications to continue operating across metro locations if a site or storage system becomes unavailable.
- Full Kubernetes and container support on the HVM hypervisor, giving teams a unified way to operate cloud-native applications alongside traditional virtual machines.
- Integration with Zerto for continuous data protection and rapid recovery within Morpheus VM Essentials and Morpheus Enterprise.
- Beta support for Veeam hypervisor-based backups, with general availability planned for early 2026.
These updates build on the existing Morpheus platform and are aimed at customers revisiting their virtualization approach in 2026.
HPE advanced its AI data pipeline strategy through new integrations for the HPE Alletra Storage MP X10000 Data Intelligence Node. The node itself was introduced earlier this week, but HPE is now adding:
- Integration with the NVIDIA AI Data Platform reference design, creating a more active data layer that prepares and enriches information for AI workloads.
- New tools for data organization and governance to support AI pipelines that span on-premises and hybrid cloud environments.
These updates clarify how HPE intends to support the data movement, preparation, and enrichment required for large-scale AI initiatives.
HPE expanded the configuration options for Private Cloud AI, adding: NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs are across every configuration. Built on NVIDIA's GB202 silicon with 5nm process technology and 92.2 billion transistors, the RTX PRO 6000 features 24,064 CUDA cores, 752 fifth-generation Tensor Cores, and 96GB of GDDR7 memory across a 512-bit interface. This substantial memory capacity directly addresses enterprise AI workloads that need large context windows with multi-modal processing. HPE is also introducing the NVIDIA GB200 NVL4, combining two NVIDIA Grace CPUs with four Blackwell GPUs, that mix offers a density of up to 136 GPUs per rack (at approximately 6kW per system) as a more compact alternative where organizations are deploying LLM inference infrastructure.
The integration of Security Technical Implementation Guide (STIG)-hardened and Federal Information Processing Standards (FIPS)-enabled NVIDIA AI Enterprise software in air-gapped environments offers an added layer of security, enabling a solution capable of satisfying numerous compliance standards. This configuration aims at the table stakes procurement requirements in deployments (like defense, intelligence, healthcare, and financial services) where data residency and regulatory compliance are mandatory.
Building on the GPU-based confidential computing capabilities introduced in NVIDIA's Hopper architecture, Blackwell represents the first TEE-I/O capable GPU in the industry, providing near-identical throughput performance compared to unencrypted modes. The company’s implementation is architected to rely on CPU support for AMD SEV-SNP or Intel TDX, that gives a complete chain of trust from CPU through GPU. This solution has the potential to enable enterprises needing AI workload security along with intellectual property protection in a model that doesn't tank production performance levels.
HPE Private Cloud now supports GPU fractionalization to optimize utilization and lower costs, using NVIDIA Multi-Instance GPU (MIG) technology. MIG capabilities allow the creation of up to four fully isolated instances with dedicated resources, enabling concurrent execution of different AI workloads on shared hardware. The RTX PRO 6000 platform is particularly suited for LLM fine-tuning, inference, and retrieval-augmented generation (RAG) workloads with fewer than 70 billion parameters, aligning with the parameter ranges most enterprise production deployments will target through 2026.
These enhancements strengthen HPE's positioning for enterprises that need secure, high-performance AI infrastructure with clear compliance pathways for regulated environments.
HPE introduced two new StoreOnce platforms, which represent the most significant new additions to its data protection lineup:
- StoreOnce 5720, a hybrid system that balances ingest speed and capacity for mid-range deployments.
- StoreOnce 7700, an all-flash platform designed for high-performance protection, with up to 300 TB per hour of ingest. It enables faster recovery and supports direct data mount for forensics, testing, and clean-room analysis.
Both platforms integrate with HPE Alletra Storage MP and HPE SimpliVity and target customers seeking higher resilience for mission-critical workloads.
HPE also announced updates to the GreenLake platform designed to simplify financial planning, procurement, and cross-portfolio adoption:
- Relaunch of the GreenLake Marketplace, with expanded listings and availability through HPE.com today and the GreenLake platform in January 2026.
- CloudPhysics Plus alignment and visibility enhancements.
- Cloud Commit availability, which provides customers with predictable spending across a wide catalog of GreenLake services.
- New HPE Financial Services programs that extend multi-year financing options for CloudOps software and offer up to ten percent savings on Alletra Storage MP X10000, with deferred payments for the first two months.
Taken together, these GreenLake updates help accelerate HPE’s transition toward a more unified hybrid cloud operating model that blends technology, economics, and lifecycle governance.
Looking Ahead
From our perspective, HPE is moving toward a more coherent hybrid cloud operating model, but the next phase will depend on execution. Customers will look for clearer guidance on how these capabilities work together across virtualization, AI data pipelines, and resilience, and where the operational boundaries still require refinement.
The most immediate opportunities are in environments rethinking their virtualization strategy and beginning to scale AI workloads, where simplicity, cost predictability, and consistent governance remain top priorities. We will be watching how quickly the new Morpheus capabilities, the StoreOnce platforms, and the Private Cloud AI updates translate into measurable improvements in deployment time, recovery speed, and overall platform consistency.
We find that HPE is fulfilling customer AI needs by significantly expanding its GreenLake platform capabilities and introducing major advances in virtualization, AI storage, and data resilience. These strategic moves are collectively designed to augment networking maturity, deepen automation, and ensure policy consistency across diverse fabrics. A key focus of this initiative is the progress toward achieving end-to-end AIOps alignment, which can enable HPE to leverage AI operations to deliver the performance, scalability, and simplified management required for intricate, hybrid AI workloads.
Blackwell's 5nm GB202 silicon with 96GB of GDDR7 memory positions HPE for the 30B-70B parameter models that are likely to dominate enterprise production through 2026. The GB200 NVL4's 6kW power envelope introduces data center density considerations that many enterprises have not previously managed. More significant is Blackwell's maturity as the first TEE-I/O capable GPU, delivering production-grade performance for confidential computing workloads with end-to-end CPU-GPU encryption via AMD SEV-SNP and Intel TDX integration. However, immaturity remains a barrier, particularly in attestation workflows and key management tooling. While orchestration gaps are on the menu in HPE's partnerships with Fortanix and CrowdStrike, that isn’t going to prevent the 12-18 month lag between hardware availability and widespread enterprise adoption. The STIG-hardened software stack is likely the clearest near-term path, and we should see defense and intelligence deployments through 2026, then commercial enterprise following as the reference architectures stabilize.
HPE's sovereign AI strategy, anchored by the Grenoble AI Factory Lab and country-specific compliance architectures, addresses genuine European demand for data residency controls. That said, the gap between purchasing systems and production readiness remains 6-9 months for operationally mature organizations and 18-24 months for those building capabilities from scratch. The limiting factors are not silicon performance, they are enterprise operational maturity around data pipelines, model governance, and security operations integration. HPE's success depends on whether GreenLake services and partner ecosystems can compress implementation timelines before competitors deliver comparable solutions. We will be watching three indicators through mid-2026: time-to-production metrics from early Private Cloud AI customers, whether confidential computing shifts from feature checkbox to mandatory RFP requirement, and the pace at which HPE's partners develop repeatable sovereign AI integration patterns that move beyond pilot deployments.
Overall, HPE has laid out a broad foundation. The next twelve months will show whether the company can turn these product updates into a more unified experience that reduces complexity and gives enterprises a lasting path forward for hybrid cloud and AI operations.
Don Gentile | Analyst-in-Residence -- Storage & Data Resiliency
Don Gentile brings three decades of experience turning complex enterprise technologies into clear, differentiated narratives that drive competitive relevance and market leadership. He has helped shape iconic infrastructure platforms including IBM z16 and z17 mainframes, HPE ProLiant servers, and HPE GreenLake — guiding strategies that connect technology innovation with customer needs and fast-moving market dynamics.
His current focus spans flash storage, storage area networking, hyperconverged infrastructure (HCI), software-defined storage (SDS), hybrid cloud storage, Ceph/open source, cyber resiliency, and emerging models for integrating AI workloads across storage and compute. By applying deep knowledge of infrastructure technologies with proven skills in positioning, content strategy, and thought leadership, Don helps vendors sharpen their story, differentiate their offerings, and achieve stronger competitive standing across business, media, and technical audiences.
Ron Westfall | VP and Practice Leader for Infrastructure and Networking
Ron Westfall is a prominent analyst figure in technology and business transformation. Recognized as a Top 20 Analyst by AR Insights and a Tech Target contributor, his insights are featured in major media such as CNBC, Schwab Network, and NMG Media.
His expertise covers transformative fields such as Hybrid Cloud, AI Networking, Security Infrastructure, Edge Cloud Computing, Wireline/Wireless Connectivity, and 5G-IoT. Ron bridges the gap between C-suite strategic goals and the practical needs of end users and partners, driving technology ROI for leading organizations.
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Stephen Sopko | Analyst-in-Residence – Semiconductors & Deep Tech
Stephen Sopko is an Analyst-in-Residence specializing in semiconductors and the deep technologies powering today’s innovation ecosystem. With decades of executive experience spanning Fortune 100, government, and startups, he provides actionable insights by connecting market trends and cutting-edge technologies to business outcomes.
Stephen’s expertise in analyzing the entire buyer’s journey, from technology acquisition to implementation, was refined during his tenure as co-founder and COO of Palisade Compliance, where he helped Fortune 500 clients optimize technology investments. His ability to identify opportunities at the intersection of semiconductors, emerging technologies, and enterprise needs makes him a sought-after advisor to stakeholders navigating complex decisions.