840759-691: HPE 64GB DDR4 2666MHz ECC RDIMM Memory Module
MPN: 840759-691|By: HPE
Starting from
$720
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 840759-691 as a 64GB DDR4 2666MHz 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
- 840759-691
- Product Type
- Server Memory
- Manufacturer
- HPE
Technical specifications
- Capacity
- 64GB
- Memory Type
- DDR4
- Module Type
- ECC
These are the 5 facts we can state about 840759-691 without inferring anything. Compatibility beyond this is confirmed per platform, on request, before you order.
Where the HPE 840759-691 is deployed
- Sourcing 840759-691 against a build sheet that names it explicitly
- Standardising a host on one module type and speed
- Replacing a DIMM flagged by correctable-error logging
Who this part is for
- Teams retiring mixed-speed memory in favour of one consistent part
- MSPs matching DIMMs to what a customer already has installed
- Virtualisation teams raising host memory to fit more guests per node
What you get ordering this from us
Ordered by part number
Quoted and supplied against 840759-691 specifically, so what arrives is what your build sheet asks for.
Answered by a human
A quote comes back with the reasoning attached, including the cases where we think you should buy something else.
No substitutions without asking
If we cannot supply the exact code we tell you what we can supply and why, rather than shipping an equivalent and letting you find out.
Questions buyers ask about this part
Is 840759-691 genuine and is the warranty intact?
Yes, new and sealed, with the HPE warranty and the firmware update path intact. We do not sell refurbished stock as new, and we do not source grey-market units.
Will 840759-691 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, POs from qualified organisations, net terms on approval, and banded pricing once the quantity is worth banding. Send the number and we will price it properly.
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.