157112-001: HP 128MB RDRAM-800MHz PC800 ECC RIMM Memory Module
MPN: 157112-001|By: HP
Starting from
$160
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
HP lists 157112-001 as a 128MB RDRAM-800MHz PC800 ECC RIMM Memory Module. Memory is the part most often ordered wrong, because rank, voltage and population rules differ per platform and per slot. Give us the server model and the DIMMs already fitted and we will confirm the configuration is supported.
Send the quantity you need and we will come back within 48 business hours with availability confirmed, not estimated.
Specifications
General
- Manufacturer part number
- 157112-001
- Product Type
- Server Memory
- Manufacturer
- HP
Technical specifications
- Capacity
- 128MB
- Module Type
- ECC
Specifications for 157112-001 as published by HP. Where a value is absent it is because we could not verify it, not because it does not exist. Ask and we will check.
Where the HP 157112-001 is deployed
- Like-for-like replacement of 157112-001 in an existing system
- Raising host memory to fit more virtual machines per node
- Filling the remaining channels on a part-populated board
Who this part is for
- Virtualisation teams raising host memory to fit more guests per node
- MSPs matching DIMMs to what a customer already has installed
- Procurement buying memory kits against a documented configuration
What you get ordering this from us
Ordered by part number
The order is placed against 157112-001, not against a description of it, so there is no room for a substitution you did not agree to.
Rank and voltage confirmed
We check rank, voltage and module type against the platform before quoting, which is where most memory orders go wrong.
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 157112-001 genuine and is the warranty intact?
Yes. It ships new in HP packaging, which is what keeps the warranty and the firmware entitlement valid. Anything we cannot supply that way we tell you about before you order.
Will 157112-001 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 |
| 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.