Composable infrastructure pools compute, storage, networking, and accelerator resources so they can be assigned dynamically to private cloud, AI, HPC, and virtualised workloads through software.
The platform you choose determines how quickly you can provision bare-metal capacity, how consistently you can apply templates and firmware baselines, and whether changing workload demand means manual rebuilds or API-led automation.
As a partner to vendors including HPE, Dell, and Cisco UCS, we specify composable infrastructure against your requirements, so you're not paying for architectural complexity you won't operationalise or short on fabric, management, or resource flexibility for the workloads you need to support.
Modern composable infrastructure is built to handle the demands placed on dynamic workloads, from flexible provisioning to automation and utilisation.
HPE OneView, Cisco Intersight, and SuperCloud Composer help turn infrastructure resources into pools that can be assigned by policy.
Template-based provisioning reduces the time needed to prepare infrastructure for new applications, test environments, and changing workload demand.
Software-defined profiles help match resources to workloads without locking capacity into one static design for its full lifecycle.
APIs and orchestration tools make infrastructure changes repeatable, auditable, and less dependent on manual console work.
Utilisation visibility helps teams reclaim stranded capacity and assign resources where current workloads need them most.
Composable management prepares infrastructure for hybrid cloud by making resource allocation, lifecycle control, and automation more consistent.
Composable infrastructure adapts to different environments, each with distinct workload patterns, automation goals, and resource allocation requirements.
Dynamic resource pools support virtualisation, private cloud, analytics, and high-performance workloads with standardised builds and efficient utilisation.
Programmable infrastructure accelerates dev/test, containers, databases, and AI projects where teams need fast provisioning and repeatable environments.
Flexible infrastructure supports analytics, risk modelling, and private cloud services with automation, governance, and capacity for fluctuating demand.
Resource pools support research, imaging analytics, virtualisation, and clinical platforms while maintaining controlled builds and changing workload priorities.
Composable resources handle rendering, transcoding, asset processing, and production workloads where compute and accelerator demand shifts by project.
Pooled GPUs, high-memory nodes, storage, and fabric capacity support AI training, simulation, and analytics without permanent infrastructure silos.
Getting these areas right will help your business avoid costly rework and gaps in performance, resilience, security or lifecycle support.
Plan NVMe & NVMe-oF, compute and fabric resources around how pools will be allocated, reassigned and governed.
Confirm High-Performance Compute (HPC) and storage requirements before designing shared resource pools for demanding workloads.
Validate Virtualisation & Private Cloud Platforms for orchestration, workload placement and operational fit before adopting composable infrastructure.
For Kubernetes Platforms, confirm persistent storage, networking and scaling requirements before placing container workloads on shared resource pools.
Decide how Infrastructure Management & Monitoring will handle templates, provisioning, firmware, alerts and reporting across resource pools.
Factor Vendor Support & Lifecycle Services into warranty terms, firmware support windows, expansion options and roadmap fit before committing.
Composable and hyperconverged infrastructure give IT teams different ways to allocate resources. Knowing the difference helps you choose the right model for flexibility, scale and management control.
| Composable Infrastructure | Hyperconverged Infrastructure | |
|---|---|---|
| Resource model | Pools compute, storage and fabric resources so they can be assigned to workloads as needed | Packages compute and storage together in cluster nodes managed as an integrated platform |
| Most suitable workloads | Mixed workloads needing flexible bare-metal, virtualised or cloud-like resource allocation | Virtualisation and private cloud estates that benefit from standardised nodes and simpler lifecycle management |
| Scaling behaviour | Can allocate resources more flexibly when workload, capacity or performance needs change | Scales by adding nodes, which may add compute and storage together even when only one is constrained |
| Operational priority | Infrastructure flexibility, automation, policy control and faster reconfiguration for varied workloads | Simpler operations, repeatable deployment, integrated monitoring and reduced management complexity |
| What it is not built for | Smaller or highly standardised estates where added orchestration is not justified | Highly varied environments needing independent resource pooling and frequent reconfiguration |
| Explore Hyperconverged Infrastructure |
Cisco UCS, Dell, and HPE platforms each suit different teams, operating models, and infrastructure priorities. Here's where each one fits best.
Best for: Teams wanting a future-ready modular system with cloud-based control, flexible scaling, and a cleaner path to new compute and I/O requirements.
Strengths
Best for: Teams wanting kinetic, disaggregated infrastructure that avoids midplane bottlenecks and lets compute and storage evolve without chassis-level redesign constraints.
Strengths
Best for: Private-cloud teams wanting fluid pools of compute, storage, and fabric that can be provisioned as code across standardised data-centre environments.
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 software-defined infrastructure estates. Our role is to help you make the right composable infrastructure decisions, with practical support for HPE.
Composable Infrastructure Services
From architecture and deployment to optimisation and modernisation, we help you build flexible infrastructure that adapts resources to changing workloads.
Design resilient composable infrastructure with the right resource pools, connectivity, automation, scalability and future growth in mind.
Learn more about Architecture & Design →Replace legacy infrastructure, migrate workloads and deploy new composable platforms with minimal disruption and seamless integration into your environment.
Learn more about Migration & Deployment →Assess resource performance, resilience, firmware, utilisation and platform health to improve reliability, flexibility and operational efficiency.
Learn more about Assessment & Optimisation →Plan technology refreshes, replace end-of-life hardware and modernise composable infrastructure with a structured roadmap for future growth.
Learn more about Lifecycle & Modernisation →We help you select suitable composable infrastructure platforms from HPE — balancing performance, management, scalability, lifecycle status and total cost.
Match compute, storage, networking and management 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 composable infrastructure?
Speak to our experts about design, deployment, optimisation or modernisation of your software-defined infrastructure environment.
Composable Infrastructure supports flexible data centre platforms where compute, storage, and network resources need to be allocated dynamically.
The related solutions below help connect composable designs with enterprise compute, hybrid cloud, and infrastructure modernisation.
Server platforms for business applications, virtualisation, databases, and specialist workloads with resilient, scalable lifecycle support.
Explore Enterprise Compute ›Private and hybrid cloud platforms delivering secure control, predictable performance, and flexible capacity across estates.
Explore Hybrid And Private Cloud ›Compute, storage, networking, and resilience services for critical applications, private cloud platforms, and business data.
Explore Data Centre Infrastructure ›Browse the full range available from each manufacturer we partner with.
Secure servers for virtualisation, hybrid cloud, edge and AI workloads 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 at scale.
View Cisco UCS ›If you're specifying composable infrastructure, these categories cover the hyperconverged, rack, blade and mission-critical portfolios within the enterprise compute architecture.
Resilient platforms for databases, ERP, core applications, and workloads requiring high availability and fault tolerance.
Browse modelsDense modular compute for data centres needing simplified cabling, shared infrastructure, and scalable server deployments.
Browse modelsRackmount compute for virtualisation, applications, storage, and general-purpose workloads in data centre or server-room environments.
Browse modelsIntegrated compute, storage, and virtualisation for simplified scaling and software-defined infrastructure management.
Browse modelsChoose composable infrastructure by matching workload variability, resource pooling needs, fabric requirements, automation maturity, and data centre operational model at scale.
Composable infrastructure suits organisations that want to separate compute, storage, and networking into shared pools assigned through software rather than fixed server designs. This is most useful where workload demand changes frequently and operational simplicity matters. Use the platform comparison above to narrow the most suitable option for your workload, scale, and support model.
Composable infrastructure pools resources for flexible allocation, while hyperconverged infrastructure tightly combines compute and storage within simpler building blocks at scale.
Composable platforms disaggregate compute, storage, and networking for software-led assignment, while hyperconverged systems scale in node-based increments and traditional three-tier estates remain more manually managed. A clear comparison helps reduce unnecessary complexity and align platform choice to workload and management needs. The platform comparison above shows how the main options differ across performance, scalability, management, and workload fit.
Composable infrastructure can improve utilisation and workload agility by allowing compute, storage, and networking resources to be allocated more dynamically.
This is most valuable where workloads change regularly and teams can operate infrastructure through software and APIs rather than physical reconfiguration. In more static estates, the additional flexibility may offer less practical benefit than simpler architecture models.
Composable disaggregation suits environments with variable resource demand, automation maturity, high utilisation targets, and a need to reduce stranded capacity.
A sound assessment should test real workload variability and the team's readiness to manage infrastructure through software-defined orchestration, rather than selecting the model for architectural novelty. Where the fit is right, teams can scale more predictably and reduce management overhead.
Yes, mixed-vendor composable infrastructure can be supported when fabric compatibility, orchestration boundaries, hardware pools, and operational ownership are clearly defined.
These environments are typically more complex because composability relies on close integration between hardware, fabric, and orchestration tooling, so cross-vendor flexibility is usually more limited than in other infrastructure categories. Many organisations run composable platforms for suitable new workloads alongside existing infrastructure during phased adoption. For composable infrastructure decisions, speak to our compute experts to assess workload demand, management tooling, and resource pooling suitability.
Specify composable infrastructure around fabric bandwidth, resource pooling, orchestration integration, management APIs, firmware control, and workload placement requirements across enterprise estates.
Specifications should confirm interconnect performance for pooled resources and the orchestration capabilities needed to automate allocation through existing management tooling. This matters because the operational value of composable infrastructure depends on both fabric performance and strong software control.
