RD4LR64G48H2666: A2ZEON 64 GB DDR4-2666 LRDIMM ECC 1.2V Server Memory - Hynix
MPN: RD4LR64G48H2666|By: A2ZEON
In Stockships worldwide
- Condition:
- New (authorized channel)
- Warranty:
- Full manufacturer warranty
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Product overview
A2ZEON lists RD4LR64G48H2666 as a 64 GB DDR4-2666 LRDIMM ECC 1.2V Server Memory - hynix. Memory is the part most often ordered wrong, because rank, voltage and population rules differ per platform and per slot. This module is DDR4-2666. 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.
Featuring
- Capacity
- 64 GB
- Manufacturer
- A2ZEON
Physical characteristics
- Memory Type
- DDR4-2666
- Module Type
- LRDIMM
- Product Type
- Server Memory
- Expedited shipping options are available, with rates confirmed with your quote.
- Purchase orders accepted from qualified institutions.
- Compatibility is validated against your server platform before dispatch. Send us the model and we will confirm support.
Specifications for RD4LR64G48H2666 as published by A2ZEON. 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 A2ZEON RD4LR64G48H2666 is deployed
- Like-for-like replacement of RD4LR64G48H2666 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
- Procurement buying memory kits against a documented configuration
- Teams retiring mixed-speed memory in favour of one consistent part
- MSPs matching DIMMs to what a customer already has installed
What you get ordering this from us
Ordered by part number
RD4LR64G48H2666 is what is quoted and RD4LR64G48H2666 is what ships; where an alternate code is genuinely the same part we name it rather than swap it silently.
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.
Rank and voltage confirmed
We check rank, voltage and module type against the platform before quoting, which is where most memory orders go wrong.
Questions buyers ask about this part
Is RD4LR64G48H2666 genuine and is the warranty intact?
Yes. It ships new in A2ZEON 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 RD4LR64G48H2666 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. We quote against a purchase order and hold the price for the quote period, with tiered rates at quantity. Net terms are available once the account is approved.
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 | Memory Type: DDR5 RDIMM | In Stock | $215 |
| Samsung 16GB DDR4-3200 PC4-25600 ECC Registered CL22 288-Pin RDIMM Server Memory Module | Samsung | Memory Type: DDR4 RDIMM | In Stock | $55 |
| Micron 128GB DDR4-3200 PC4-25600 ECC Load-Reduced CL22 288-Pin LRDIMM Server Memory Module | Micron | Memory Type: DDR4 LRDIMM | In Stock | $500 |
| Dell Technologies 16GB DDR5-4800 PC5-38400 ECC RDIMM CL40 288-Pin Server Memory Module | Dell Technologies | Product Line: DDR5 RDIMM | In Stock | $95 |
| HPE 16GB DDR5-4800 PC5-38400 ECC RDIMM CL40 288-Pin Server Memory Module | HPE | Product Line: DDR5 RDIMM | In Stock | $95 |
| Lenovo 16GB DDR5-4800 PC5-38400 ECC RDIMM CL40 288-Pin Server Memory Module | Lenovo | Product Line: DDR5 RDIMM | In Stock | $90 |
Browse all Server Memory or everything we stock from A2ZEON.
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.