HPE

HPE Alletra dHCI for Azure Local

Azure Local (Azure Stack HCI)

Disaggregated HCI — HPE Alletra storage plus ProLiant compute, scaled independently, available through HPE GreenLake.

Architecture
Disaggregated HCI — separate compute and storage, scaled independently
Compute
HPE ProLiant nodes
Storage
HPE Alletra arrays
Consumption
Available as a service through HPE GreenLake
Best for
Independent compute / storage scaling; mixed workloads
Support
HPE hardware support + Madatech

Overview

Azure Local solution. HPE Alletra dHCI takes a disaggregated approach: compute (HPE ProLiant) and storage (HPE Alletra) are separate, and you scale each on its own curve. For Azure Local deployments where storage and compute demand grow at different rates, that avoids buying nodes you only half-use. It can also be consumed as a service through HPE GreenLake.

Where it fits

Environments with a lumpy storage-to-compute ratio โ€” large media archives, data-heavy applications with modest CPU needs, or the reverse. Also a fit where finance prefers an operating-expense, consumption model over a capital purchase. Madatech designs the split, sources it through our HPE channel or GreenLake, and runs the deployment.

Key features

Add compute or capacity separately — no need to buy one to get the otherShared Alletra storage with enterprise data services and resiliencySuits clusters where the storage-to-compute ratio does not match a fixed nodeCan be consumed on a pay-as-you-go basis through HPE GreenLakeManaged as part of the same Azure Local operating model

How we deploy it

1

Assess

Compute and capacity demand curves, growth, and whether a consumption model fits your budgeting.

2

Design and source

Size the Alletra storage and ProLiant compute separately; order through our HPE channel or GreenLake.

3

Deploy and hand over

Stand up storage and compute, cluster, register to Azure, apply policy and backup, hand over runbooks.

Get pricing for HPE Alletra dHCI for Azure Local

We'll prepare a quote in your local currency — no commitment.

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