809082-091: HPE 16GB DDR4 2400MHz ECC RDIMM Memory Module
MPN: 809082-091|By: HPE
Starting from
$210
Indicative. Final pricing is confirmed with your quote.
In Stockships worldwide
- Condition:
- New (authorized channel)
- Warranty:
- Full manufacturer warranty
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Bulk order? Request volume pricing
Authorized & warrantied
Sourced through authorized distribution, with the full manufacturer warranty.
Compatibility checked
Validated against your server platform before dispatch.
Delivery & lead time
Confirmed with your quote, including expedited freight where available.
Business & public sector
POs, net terms and volume pricing for qualified organizations, government and edu.
Product overview
HPE lists 809082-091 as a 16GB DDR4 2400MHz ECC RDIMM Memory Module. Registered, load-reduced and unbuffered modules are not interchangeable, and a board that accepts one will refuse to post on another. This module is ECC. Send the server model and we will check it against the supported-DIMM list before you order.
If the part is wrong for your platform we will say so and suggest the one that is, which is cheaper for both of us than a return.
Specifications
General
- Manufacturer part number
- 809082-091
- Product Type
- Server Memory
- Manufacturer
- HPE
Technical specifications
- Capacity
- 16GB
- Memory Type
- DDR4
- Module Type
- ECC
These are the 5 facts we can state about 809082-091 without inferring anything. Compatibility beyond this is confirmed per platform, on request, before you order.
Where the HPE 809082-091 is deployed
- Swapping out a failed server memory module for 809082-091 under change control
- Filling the remaining channels on a part-populated board
- Replacing a DIMM flagged by correctable-error logging
Who this part is for
- Procurement buying memory kits against a documented configuration
- Virtualisation teams raising host memory to fit more guests per node
- Teams retiring mixed-speed memory in favour of one consistent part
What you get ordering this from us
Ordered by part number
Quoted and supplied against 809082-091 specifically, so what arrives is what your build sheet asks for.
Compatibility checked
We confirm the part is supported on your platform before it ships, rather than leaving the check to you.
Rank and voltage confirmed
We check rank, voltage and module type against the platform before quoting, which is where most memory orders go wrong.
Questions buyers ask about this part
Is 809082-091 genuine and is the warranty intact?
Yes. Supplied new and unopened, so the manufacturer warranty and firmware update path stay supported. No grey-market stock and no refurbished units sold as new.
Will 809082-091 work in my server?
Send the server model and a list of the DIMMs already fitted. Rank, voltage and population order all have to agree, and a module that is electrically compatible can still be unsupported in a given slot. We map the population before you order.
Do you accept purchase orders and quote at volume?
Yes. Purchase orders are accepted from qualified organisations, net terms are available on approval, and tiered pricing applies at quantity. Tell us how many you need.
Compare other Server Memory we stock
| Model | Brand | Key spec | Availability | From |
|---|---|---|---|---|
| SK hynix 32GB DDR5-5600 PC5-44800 ECC Registered CL46 288-Pin RDIMM Server Memory Module | SK hynix | Capacity: 32GB | In Stock | $215 |
| Samsung 16GB DDR4-3200 PC4-25600 ECC Registered CL22 288-Pin RDIMM Server Memory Module | Samsung | Capacity: 16GB | In Stock | $55 |
| Micron 128GB DDR4-3200 PC4-25600 ECC Load-Reduced CL22 288-Pin LRDIMM Server Memory Module | Micron | Capacity: 128GB | In Stock | $500 |
| Dell Technologies 16GB DDR5-4800 PC5-38400 ECC RDIMM CL40 288-Pin Server Memory Module | Dell Technologies | Capacity: 16GB | In Stock | $95 |
| Lenovo 16GB DDR5-4800 PC5-38400 ECC RDIMM CL40 288-Pin Server Memory Module | Lenovo | Capacity: 16GB | In Stock | $90 |
| Kingston 8GB DDR4-3200 PC4-25600 ECC RDIMM CL22 288-Pin Server Memory Module | Kingston | Capacity: 8GB | In Stock | $35 |
Browse all Server Memory or everything we stock from HPE.
Specifying a system, not just the part?
Host memory on an AI node is normally sized against accelerator memory, so the model and its working set both fit.