Hyperconverged Infrastructure brings compute, storage, virtualisation, and management together in a software-defined platform that can be scaled by adding nodes as demand grows.
The platform you choose affects how easily you can deploy workloads, manage storage policies, patch clusters, support failover, and expand capacity without adding separate server and SAN complexity.
As a partner to vendors including HPE, Dell, Cisco UCS, and Supermicro, we specify Hyperconverged Infrastructure against your requirements, so you're not overcommitted on node capacity, licensing, or performance, or short on resilience, backup integration, and future scaling headroom.
Modern hyperconverged infrastructure is built to handle the demands placed on today's data centres, from consolidation and simplicity to protection and scale.
Unified management and lifecycle tools reduce separate server, storage, and virtualisation tasks that slow down infrastructure operations.
Automation, templates, and API-driven provisioning help HCI act as a practical foundation for private cloud services.
Integrated resource management helps teams align compute, storage, and virtualisation capacity as workloads grow or move.
HPE Zerto Software, PowerProtect Data Manager, and recovery orchestration help protect virtual workloads and simplify disaster recovery planning.
Node-based expansion and lifecycle visibility help teams add capacity in measured steps instead of redesigning the whole environment.
Consolidated operations reduce rack footprint, separate management silos, and handoffs between compute and storage teams.
Hyperconverged infrastructure adapts to different environments, each with distinct workload, resilience, scaling, and management requirements.
Consolidated platforms for private cloud, VDI, and business applications where simplified operations and predictable scale matter most.
Compact clusters for stores and regional hubs, supporting branch applications with central management and straightforward recovery.
Resilient infrastructure for hospitals, clinics, VDI, and clinical systems where lean IT teams need predictable scaling.
Highly available platforms for ERP, MES, analytics, and virtual machines close to operations, reducing disruption through simpler management.
Simplified infrastructure for document platforms, virtual desktops, databases, and business systems without separate storage administration overhead.
Scale-out infrastructure for teaching platforms, administrative systems, VDI, and file services where easier management supports budget control.
Getting these areas right will help your business avoid costly rework and gaps in performance, resilience, security or lifecycle support.
Check whether NVMe & NVMe-oF is needed to support software-defined storage performance, rebuild behaviour and workload growth.
Validate Virtualisation & Private Cloud Platforms for cluster sizing, workload mobility, licensing and operational fit before deployment.
Confirm Kubernetes Platforms requirements for persistent storage, networking and scaling before placing container workloads on HCI.
Align Data Protection & Disaster Recovery with cluster replication, snapshots, backups and restore testing before production use.
Decide how Infrastructure Management & Monitoring will cover nodes, storage, firmware, capacity, alerts and reporting.
Factor Vendor Support & Lifecycle Services into warranty terms, firmware support windows, node expansion and roadmap fit before committing.
Hyperconverged and traditional infrastructure organise compute, storage and networking differently. Knowing the difference helps you choose the right operating model without adding avoidable management complexity.
| Hyperconverged Infrastructure | Traditional Three-Tier Infrastructure | |
|---|---|---|
| Architecture | Combines compute, storage and virtualisation into integrated nodes managed as a cluster | Keeps compute, storage and networking as separate layers designed and scaled independently |
| Most suitable workloads | Virtualisation, private cloud, branch platforms and estates that benefit from simpler scaling and lifecycle management | Large environments needing separate control over storage, compute, network performance and security zones |
| Scaling model | Usually scales by adding nodes, which can simplify growth but may add compute and storage together | Each layer can be expanded separately when only storage, compute or network capacity needs growth |
| Operational model | Reduces separate infrastructure management and can improve visibility for distributed IT teams | Provides more design control, but adds more components to size, integrate, patch and monitor |
| What it is not built for | Environments needing highly independent storage and compute scaling or specialist storage designs | Teams seeking the simplest integrated platform and faster repeatable deployment |
| Explore Traditional Three-Tier Infrastructure |
HPE, Dell, Cisco UCS, and Supermicro platforms each suit different HCI architectures, operational models, and virtualisation priorities. Here's where each one fits best.
Best for: Teams building HCI on certified, configurable nodes that align cleanly with their chosen software stack and long-term platform strategy.
Strengths
Best for: Teams wanting proven Nutanix HCI software on Cisco UCS, with unified management through Intersight and a familiar Cisco operating model.
Strengths
Best for: VMware-centric teams wanting the jointly engineered HCI standard, or a software-defined scale-out model with clearer lifecycle control.
Strengths
Best for: Teams consolidating virtualisation, data efficiency, backup, and disaster recovery into a compact hyperconverged platform with fewer separate infrastructure layers.
Strengths
Unsure which platform is the right fit? Our specialists can assess crucial factors such as workloads, compatibility, operational priorities and future growth to recommend the most suitable approach.
We’re trusted by IT teams in enterprise environments, data centres and private cloud estates. Our role is to help you make the right hyperconverged infrastructure decisions, with practical support across HPE and Dell.
Hyperconverged Infrastructure Services
From architecture and deployment to optimisation and modernisation, we help you build scalable infrastructure for virtualisation and private cloud workloads.
Design resilient hyperconverged infrastructure with the right node sizing, network capacity, availability, scalability and future growth in mind.
Learn more about Architecture & Design →Replace legacy infrastructure, migrate workloads and deploy new hyperconverged platforms with minimal disruption and seamless integration into your environment.
Learn more about Migration & Deployment →Assess cluster performance, resilience, firmware, capacity and platform health to improve reliability, performance and operational efficiency.
Learn more about Assessment & Optimisation →Plan technology refreshes, replace end-of-life hardware and modernise hyperconverged infrastructure with a structured roadmap for future growth.
Learn more about Lifecycle & Modernisation →We help you compare suitable hyperconverged infrastructure platforms across HPE and Dell — balancing performance, licensing, scalability, lifecycle status and total cost.
Match node sizing, storage, networking and performance to your requirements.
Get the right licensing and support for your environment.
Access competitive pricing and improved lead times.
Maximise value from existing equipment and refresh with ease.
Need help with hyperconverged infrastructure?
Speak to our experts about design, deployment, optimisation or modernisation of your virtualisation and private cloud environment.
Hyperconverged Infrastructure brings compute, storage, and virtualisation together within a more streamlined infrastructure architecture.
The solutions below help position HCI within a secure, resilient, and scalable hybrid IT environment.
Virtualisation and hyperconverged platforms that simplify operations, improve workload mobility, and support scalable application infrastructure.
Explore Virtualisation and HCI ›Private and hybrid cloud platforms delivering predictable performance, secure control, and flexible capacity across mixed estates.
Explore Hybrid and Private Cloud ›Storage, backup, replication, and recovery solutions that protect critical data and strengthen operational resilience.
Explore Enterprise Storage and Data Protection ›Browse the full range available from each manufacturer we partner with.
Secure server platforms for virtualisation, hybrid cloud, edge and AI with consistent infrastructure management.
View HPE Compute ›
PowerEdge platforms for data centre, edge, AI and virtualisation workloads with strong manageability.
View Dell Compute ›
Standardised compute, networking and policy control for virtualisation, private cloud and application platforms.
View Cisco UCS ›
Highly configurable servers for AI, storage, cloud and edge workloads with strong density.
View Supermicro Compute ›If you're specifying hyperconverged infrastructure, these categories cover the compute, SAN, storage-server and composable portfolios across the wider platform stack.
Low-latency shared storage for enterprise applications, dense virtualisation, databases, and other performance-sensitive workloads.
Browse modelsDense, storage-focused servers for backup targets, file services, object workloads, and high-capacity datasets.
Browse modelsRackmount compute for virtualisation, applications, storage, and general-purpose workloads in data centre or server-room environments.
Browse modelsInfrastructure that pools compute, storage, and networking resources so capacity can be assigned around changing workloads.
Browse modelsChoose hyperconverged infrastructure by matching workload profile, node sizing, storage performance, network design, licensing, resilience, and operational maturity across enterprise estates.
Assess node sizing, cluster scalability, hypervisor compatibility, licensing model, and built-in data services against current and projected virtualisation needs. Also confirm whether demanding databases or specialised applications suit HCI’s shared scale-out model. Use the platform comparison above to narrow the most suitable option for your workload, scale, and support model.
Hyperconverged vendors differ in storage architecture, management experience, hardware flexibility, scaling model, ecosystem integration, support approach, and operational fit for workloads.
Underlying server hardware is often broadly comparable, so the software-defined storage and management layer is usually the more meaningful difference. Scaling models also vary between vendors, affecting expansion cost, operational complexity, and long-term fit. The platform comparison above shows how the main options differ across performance, scalability, management, and workload fit.
Hyperconverged infrastructure can simplify data centre operations by combining compute, storage, and management, but sizing and networking must be planned carefully.
By collapsing separate server, SAN, and infrastructure management into a unified platform, HCI can reduce specialist overhead and simplify patching, capacity planning, and troubleshooting. For estates consolidating legacy silos or growing virtualisation, it can improve scalability and operating consistency if the migration is planned properly.
Move to hyperconverged infrastructure when workloads are suitable, growth is predictable, teams want simpler operations, and network readiness is confirmed.
A practical readiness assessment should map current virtualisation scope, growth projections, and operational pain points against HCI strengths rather than treating it as a default modernisation step. This helps confirm genuine workload fit, reduce avoidable complexity, and support more predictable scaling.
Yes, legacy three-tier infrastructure can be migrated to hyperconverged platforms through workload assessment, phased migration, network preparation, and rollback planning.
A phased approach lets teams validate HCI performance and operational processes with live workloads before wider cutover, while progressively retiring legacy platforms. Migration should also allow time for the operations team to build confidence with the new architecture and any hypervisor change. For HCI migration planning, workload assessment, or legacy infrastructure review, speak to our compute and storage experts about the right route forward.
Specify hyperconverged infrastructure around node count, storage capacity, cache design, network speed, fault domains, licensing, and workload growth across enterprise estates.
Size nodes against actual compute, memory, and storage demand, while maintaining enough cluster headroom to tolerate a node failure. Storage planning should also validate deduplication and compression assumptions against real data types, not just vendor-quoted maximum ratios, to avoid under-sizing and protect performance.
