03VNY: Dell 64GB DDR4 2400MHz ECC RDIMM Memory Module
MPN: 03VNY|By: Dell
Starting from
$465
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
Part number 03VNY identifies this Dell 64GB DDR4 2400MHz ECC RDIMM Memory Module. Population order decides whether you get the full memory bandwidth or a fraction of it, and the rules change between one and two processors. This is a 64GB module. Send the current layout and we will map the slots for you.
If the part is wrong for your platform we will say so and suggest the one that is, which is cheaper for both of us than a return.
Specifications
General
- Manufacturer part number
- 03VNY
- Product Type
- Server Memory
- Manufacturer
- Dell
Technical specifications
- Capacity
- 64GB
- Memory Type
- DDR4
- Module Type
- ECC
The table below is what the server memory module is documented as, not what we have inferred from the part number. If the figure you need is missing, ask and we will source it from the manufacturer.
Where the Dell 03VNY is deployed
- Like-for-like replacement of 03VNY in an existing system
- Standardising a host on one module type and speed
- 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
- Teams retiring mixed-speed memory in favour of one consistent part
- Engineers populating channels correctly on a new or part-filled board
What you get ordering this from us
Ordered by part number
Quoted and supplied against 03VNY specifically, so what arrives is what your build sheet asks for.
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.
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 03VNY genuine and is the warranty intact?
Yes. It ships new in Dell 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 03VNY 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 Dell.
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.