MT18HTF12872FDY-667D5D3: Micron 1GB FB-DIMM 240-Pin Memory Module
MPN: MT18HTF12872FDY-667D5D3|By: Micron

Price
Quoted on request
Current pricing within 48 business hours.
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
This is the Micron 1GB FB-DIMM 240-Pin Memory Module, order code MT18HTF12872FDY-667D5D3. 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 a photo or a dump of the current DIMM layout and we will map the population for you before you order.
Specifications
General
- Manufacturer part number
- MT18HTF12872FDY-667D5D3
- Product Type
- Server Memory
- Manufacturer
- Micron
Technical specifications
- Capacity
- 1GB
Specifications for MT18HTF12872FDY-667D5D3 as published by Micron. 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 Micron MT18HTF12872FDY-667D5D3 is deployed
- Like-for-like replacement of MT18HTF12872FDY-667D5D3 in an existing system
- Replacing a DIMM flagged by correctable-error logging
- 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 MT18HTF12872FDY-667D5D3, 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.
Answered by a human
A quote comes back with the reasoning attached, including the cases where we think you should buy something else.
Questions buyers ask about this part
Is MT18HTF12872FDY-667D5D3 genuine and is the warranty intact?
Yes. It ships new in Micron 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 MT18HTF12872FDY-667D5D3 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
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|---|---|---|---|---|
| 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 |
| 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 |
| 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 Micron.
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.
