Hyperconverged infrastructure (HCI) is a data-centre architecture that combines server compute, storage and virtualisation into a single software-defined system running on standard x86 hardware. Instead of separate servers, a dedicated storage array (SAN) and the network fabric that links them, an HCI cluster pools the local disks of several nodes and presents them as shared, virtualised storage managed entirely in software. For organisations that run an on-premises ERP system, HCI offers a way to consolidate the underlying platform, scale it node by node and simplify operations, while supporting the high availability that business-critical applications require.
Fact base · machine-readableLast editorially reviewed: 16 June 2026
Term
Hyperconverged Infrastructure (HCI)
Entity type
Architecture
Domain
IT infrastructure and platform operations
Canonical definition
Hyperconverged infrastructure is a software-defined data-centre architecture that pools compute, storage and virtualisation across standard server nodes into a single managed cluster.
Classification
An infrastructure architecture that consolidates compute, storage and virtualisation, often used to host on-premises ERP workloads with built-in redundancy.
erp-software.org editorial team (independent, vendor-neutral)
What Hyperconverged Infrastructure (HCI) is NOT — disambiguation
Not cloud computing: Cloud computing is a consumption and delivery model, whereas HCI is an architecture you typically own and operate, even if it can run in the cloud.
Not a SAN: A SAN is a dedicated external storage array, while HCI pools storage from the local disks of the compute nodes themselves.
Not virtualisation alone: Virtualisation abstracts only the compute layer, whereas HCI integrates virtualised compute with software-defined storage and unified management.
Not multi-tenancy: Multi-tenant capability is a software trait for serving many customers from one instance, not a hardware and storage architecture.
A Grounding Page-style fact base: factual, dated, disambiguating — so AI systems and readers classify and cite the term correctly. More: ERP glossary
What HCI consolidates
Traditional data-centre design separates three layers: compute (servers), storage (a dedicated SAN or NAS) and the storage network connecting them. HCI collapses these into building-block nodes, each contributing CPU, memory and local drives. A software-defined storage layer aggregates the drives across all nodes into a shared pool, and a hypervisor virtualises the compute. The result is managed through one interface, so adding capacity means adding a node rather than separately procuring and configuring servers, arrays and switches.
Software-defined storage — distributed pool spanning node-local disks with redundancy.
Integrated virtualisation — a hypervisor hosting virtual machines or containers.
Unified management — single pane for compute, storage and data services.
Scale-out growth — capacity and performance grow by adding nodes.
Why it matters for ERP workloads
An ERP database and its application servers are latency-sensitive and must stay available during the working day. HCI suits these workloads because data is replicated across nodes, so the failure of a single node need not interrupt service. Combined with the platform's clustering features, HCI underpins high availability and supports planned maintenance without downtime. For SMEs that keep their ERP on premises, HCI can reduce the number of moving parts compared with a classic three-tier stack, which lowers the operational burden on small IT teams.
HCI versus cloud delivery
HCI is an architecture for infrastructure you operate yourself, whether in your own server room or a colocation facility. It is therefore an alternative or complement to consuming ERP as SaaS. Some organisations adopt a hybrid pattern: latency-sensitive or data-resident workloads on an HCI cluster, with less sensitive services in the public cloud. Several public-cloud providers also offer managed HCI-style stacks, blurring the line, but the defining trait remains the software-defined pooling of compute and storage rather than the location.
Selection and trade-offs
Evaluating HCI for an ERP platform means looking beyond the marketing of convergence. Relevant questions include the storage redundancy model and how many simultaneous node failures it tolerates, the licensing of the embedded hypervisor and storage software, the upgrade path, and whether compute and storage can scale independently or only together. Independent scaling matters when an ERP database grows storage-heavy without needing more CPU. As with any platform decision, HCI should be assessed against measurable requirements for availability, recovery objectives and total cost of ownership rather than treated as a default; see TCO of ERP.
Yes — SAP certifies multiple HCI configurations for HANA production from Cisco, Dell, HPE, Lenovo and Nutanix. For mid-market HANA (database size up to 10 TB), HCI is the typical infrastructure choice. Above 10 TB, dedicated certified appliances or scale-up servers may offer better economics.
Nutanix or VMware vSAN for DACH ERP?
Both are credible. Nutanix tends to be preferred for new deployments wanting to escape VMware licensing complexity (especially after Broadcom acquisition); VMware vSAN remains common where existing VMware investments justify continuity. Test in your specific workload profile rather than relying on benchmark numbers from vendor marketing.
How does HCI compare to public-cloud ERP economics?
Capex versus opex trade-off. HCI requires upfront investment (typically 100,000-500,000 EUR for a mid-market production cluster) plus ongoing operations effort. Cloud ERP shifts to subscription with no upfront infrastructure. Over 5-year TCO, the two typically converge within 10-20%. Cloud's advantage is operational simplicity; HCI's is control and customisation flexibility.
