628974-081: HP 16GB DDR3 1333MHz ECC RDIMM Memory Module
MPN: 628974-081|By: HP
Starting from
$115
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
628974-081 is an HP 16GB DDR3 1333MHz 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.
Priced per unit, with tiered pricing at quantity. Send the number you need and we will come back with the banded price.
Specifications
General
- Manufacturer part number
- 628974-081
- Product Type
- Server Memory
- Manufacturer
- HP
Technical specifications
- Capacity
- 16GB
- Memory Type
- DDR3
- Module Type
- ECC
These are the 5 facts we can state about 628974-081 without inferring anything. Compatibility beyond this is confirmed per platform, on request, before you order.
Where the HP 628974-081 is deployed
- Sourcing 628974-081 against a build sheet that names it explicitly
- Standardising a host on one module type and speed
- Raising host memory to fit more virtual machines per node
Who this part is for
- Engineers populating channels correctly on a new or part-filled board
- Teams retiring mixed-speed memory in favour of one consistent part
- Virtualisation teams raising host memory to fit more guests per node
What you get ordering this from us
Ordered by part number
628974-081 is what is quoted and 628974-081 is what ships; where an alternate code is genuinely the same part we name it rather than swap it silently.
Compatibility checked
We confirm the part is supported on your platform before it ships, rather than leaving the check to you.
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 628974-081 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 628974-081 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 |
| HPE 16GB DDR5-4800 PC5-38400 ECC RDIMM CL40 288-Pin Server Memory Module | HPE | 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 |
Browse all Server Memory or everything we stock from HP.
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.