Reduce virtualization costs and complexity to fuel innovation
If virtualization costs and complex licensing are slowing your AI and modernization plans, this HPE resource is worth your time. You'll see practical ways to assess your current footprint, find underused licenses, and rebalance workloads so you pay for what you actually need. HPE explains how to release yourself from single vendor lock-in with open, standards-based options like HPE Morpheus Software and VM Essentials, so you can manage VMware, Nutanix, Microsoft, Oracle, KVM, Kubernetes, bare metal, and public cloud from a unified platform.
As your local HPE Partner, we can help you apply these recommendations: run an HPE CloudPhysics assessment, model alternative licensing scenarios, design hybrid cloud architectures, and build a phased migration plan that fits your budget and AI roadmap. Contact us to get started today!
How can we reduce rising virtualization costs without disrupting our business?
The most effective way to bring costs under control is to start with a data-driven assessment of your current footprint and then align platforms to business needs, not licensing constraints.
HPE recommends you first evaluate:
- License utilization: Are you fully using the virtualization licenses you’ve already purchased, or paying for unused capacity?
- Workload placement: Are workloads running in the most data-efficient and cost-efficient locations (on-premises vs. cloud, edge vs. core)?
- Infrastructure efficiency: Are older servers, storage, or networking equipment limiting performance and driving up operational overhead?
- Stranded capital: Do you have hardware sitting idle “just in case” that could be rationalized, recycled, or resold to fund strategic projects?
With tools like HPE CloudPhysics (a free cloud visibility assessment platform), you can get data-driven insights into workload behavior, right-size VMs, and identify where to rebalance workloads across hybrid cloud resources to reduce overprovisioning.
From there, HPE helps you:
- Unify virtualization management across environments instead of running multiple siloed tools.
- Automate and orchestrate operations so applications automatically land on the optimal infrastructure.
- Adopt flexible consumption models (for example, per-socket licensing with HPE Morpheus Software – VM Essentials) so you’re not forced to buy more licenses or capabilities than you need.
This approach lets you reduce waste, avoid overprovisioning, and improve ROI while keeping your existing platforms in place and migrating at your own pace—no disruptive rip-and-replace required.
How do we avoid single vendor lock-in and still get enterprise-grade support?
Lock-in often shows up as long-term licensing commitments, proprietary stacks, and limited portability of workloads. HPE’s approach is to help you reimagine your virtualization strategy around open, standards-based platforms while keeping enterprise-grade support and governance.
Key elements of this approach include:
- Open hypervisor options: If you’re considering an open-source hypervisor (such as KVM) but worry about support, HPE Morpheus Software supports open KVM and major platforms including VMware, Nutanix, Microsoft, Oracle, Kubernetes, bare metal, and public clouds.
- Unified management across platforms: You can manage multiple hypervisors and clouds from a single control plane, so you’re not tied to one vendor’s roadmap or pricing model.
- Gradual migration, not big-bang change: HPE helps you protect past investments by unifying management of your existing VM environments and then migrating each workload when you’re ready.
Solutions like VM Essentials provide an open, flexible architecture that:
- Avoids future lock-in by supporting modern workloads and multiple deployment options.
- Uses a per-socket licensing model, so you’re not forced into oversized bundles.
- Can be deployed as standalone software on HPE ProLiant Gen11/Gen12 servers or HPE Alletra Storage, or integrated into HPE Private Cloud or HPE GreenLake environments.
The result is the agility of a cloud operating model—provisioning any workload to any platform, on-premises or in any cloud—while maintaining cost control, compliance, and the support structure your business expects.
How can we free up resources for AI and modern apps without expanding our data center?
Many organizations find that virtualized storage, networking, and security services quietly consume a significant share of CPU cycles and VM licenses. Replication, compression, deduplication, virtual switching, routing, and firewalling all add overhead and can force you to scale infrastructure faster than your business workloads actually require.
HPE’s strategy is to decouple infrastructure services from your VMs and automate operations so more capacity is available for core applications, AI, and data-intensive workloads.
There are three main levers:
- Disaggregated HCI (dHCI): With HPE Alletra Storage and VM Essentials, you get the simplicity of hyperconverged infrastructure without its scaling constraints. Compute, storage, and networking are consolidated into a purpose-built platform, but you can scale storage and network services independently of compute. This helps reduce VM licensing needs, limit appliance sprawl, and right-size your data center footprint.
- Hardware-accelerated networking and security: The HPE Aruba Networking CX 10000 Switch Series with AMD Pensando introduces a data center switch with a built-in services processor. This offloads functions like microsegmentation, firewalling, and encryption from your servers, delivering orders of magnitude more scale than traditional switches and freeing CPU cycles for applications and AI workloads.
- Unified automation for faster delivery: HPE Morpheus Software consolidates management of hypervisors, storage, and networking, and provides self-service provisioning with policy-based controls. This reduces manual handoffs, cuts administrative overhead, and shortens provisioning times from days or weeks to on-demand access.
By shifting storage and network services off VMs, adopting dHCI, and automating provisioning, you can:
- Reduce the number of VM licenses consumed by infrastructure services.
- Free up CPU capacity for AI, high-performance compute, and modern applications.
- Improve resiliency and performance at scale without expanding your data center footprint.
This lets you reallocate budget and resources from infrastructure overhead to innovation-focused initiatives.
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