728629-B21: HPE 32GB DDR4 2133MHz ECC RDIMM Memory Module
MPN: 728629-B21|By: HPE
Starting from
$215
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
The HPE 32GB DDR4 2133MHz ECC RDIMM Memory Module is supplied under part number 728629-B21. Population order decides whether you get the full memory bandwidth or a fraction of it, and the rules change between one and two processors. This is a 32GB module. Send the current layout and we will map the slots for you.
Quote requests are answered within 48 business hours, with availability confirmed before you raise a purchase order rather than after.
Specifications
General
- Manufacturer part number
- 728629-B21
- Product Type
- Server Memory
- Manufacturer
- HPE
Technical specifications
- Capacity
- 32GB
- Memory Type
- DDR4
- Module Type
- ECC
The table below is what the server memory module is documented as, not what we have inferred from the part number. If the figure you need is missing, ask and we will source it from the manufacturer.
Where the HPE 728629-B21 is deployed
- Sourcing 728629-B21 against a build sheet that names it explicitly
- Filling the remaining channels on a part-populated board
- Standardising a host on one module type and speed
Who this part is for
- Teams retiring mixed-speed memory in favour of one consistent part
- Virtualisation teams raising host memory to fit more guests per node
- MSPs matching DIMMs to what a customer already has installed
What you get ordering this from us
Ordered by part number
Quoted and supplied against 728629-B21 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.
Volume pricing
The listed price is per unit; tiered pricing applies at quantity and purchase orders are accepted.
Questions buyers ask about this part
Is 728629-B21 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 728629-B21 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.