RD4LR64G48H3200: A2ZEON Memory
MPN: RD4LR64G48H3200|By: A2ZEON
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
RD4LR64G48H3200 is an A2ZEON Memory. Registered, load-reduced and unbuffered modules are not interchangeable, and a board that accepts one will refuse to post on another. Send the server model and we will check it against the supported-DIMM list before you order.
No price is published here because the market for this part moves week to week; ask and we will give you a current one rather than a stale one.
Specifications
- Manufacturer part number
- RD4LR64G48H3200
- Product Type
- Server Memory
- Manufacturer
- A2ZEON
These are the 2 facts we can state about RD4LR64G48H3200 without inferring anything. Compatibility beyond this is confirmed per platform, on request, before you order.
Where the A2ZEON RD4LR64G48H3200 is deployed
- Swapping out a failed server memory module for RD4LR64G48H3200 under change control
- Standardising a host on one module type and speed
- Raising host memory to fit more virtual machines per node
Who this part is for
- MSPs matching DIMMs to what a customer already has installed
- Teams retiring mixed-speed memory in favour of one consistent part
- Procurement buying memory kits against a documented configuration
What you get ordering this from us
Ordered by part number
The order is placed against RD4LR64G48H3200, not against a description of it, so there is no room for a substitution you did not agree to.
Population mapped for you
Send the current DIMM layout and we return the slot map with the quote, so the modules go in the right order.
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.
Questions buyers ask about this part
Is RD4LR64G48H3200 genuine and is the warranty intact?
Yes, new and sealed, with the A2ZEON warranty and the firmware update path intact. We do not sell refurbished stock as new, and we do not source grey-market units.
Will RD4LR64G48H3200 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 | 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 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.