Configurable systemConfigure to order
Representative system image
HPE Alletra Storage MP X10000
Scale-out object storage built for AI data pipelines and RAG.
- Who it's for
- Organisations building a retrieval-augmented generation platform
- Scale
- Level 5
HPE GreenLake for File Storage
ServiceConfigure to orderManufacturer documented
Scale-out file storage delivered on a consumption basis rather than bought outright. It behaves like a very large shared drive, which is what most AI frameworks expect to read from, without the capital purchase.
No payment is taken online. Every request is an enquiry answered by an engineer.
Representative system image
Where does this sit?
Enterprise. Four to eight enterprise accelerators in a rack chassis, sized for production load rather than experiments. Typically bought by an enterprise ai or platform team. Datacentre or a well-provisioned rack.
Fit
Is this the right thing for you?
Who it's for
- Organisations wanting AI storage without capital expenditure
- Data science teams needing shared file access at scale
- Enterprises eliminating tiered storage pipelines
What it runs
- AI training data
- Data-intensive analytics
- Shared research datasets
When it is the wrong answer
- Sites with no acceptable network path to a consumption-model service
- Where it goes
- On-premises, operated as a service
- Complexity
- moderate
- Cooling
- Awaiting verification
Specification
What the numbers mean
Every figure below is explained in plain English. Switch to the technical view for the bare specification.
Service
- Type
Enterprise scale-out file storage, delivered as a service via HPE GreenLake
- Positioning
Eliminating storage silos and tiered pipelines for AI and data-intensive workloads
- Operating model
Cloud operational model with data services for data science teams
- Protocol and scale figuresUnverified
Awaiting verification
Verification
Manufacturer documented — HPE GreenLake for File Storage page and QuickSpecs a50006986enw. Reviewed 2026-08-31.
Manufacturer sourceBefore you commit
Practical considerations
The things that catch people out after the hardware has already been ordered.
- Consumption pricing suits unpredictable growth and hurts steady predictable use. We will model both against your actual profile.
Completeness
Nothing arrives working on its own
What else will I need?
- A commercial review of consumption versus purchase
- Network capacity to the GPU estate
Goes with
What normally sits alongside it
Relationships documented by the manufacturer, or by us during a deployment.
Configurable systemConfigure to order
Representative system image
HPE Alletra Storage MP B10000
Disaggregated scale-out block storage for mission-critical workloads.
- Who it's for
- Enterprises consolidating storage while adding AI
- Scale
- Level 4