370-AAWL: Dell 16GB DDR3 1866MHz ECC RDIMM Memory Module
MPN: 370-AAWL|By: Dell
Starting from
$55
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
370-AAWL is a Dell 16GB DDR3 1866MHz ECC RDIMM Memory Module. Registered, load-reduced and unbuffered modules are not interchangeable, and a board that accepts one will refuse to post on another. This module is ECC. Send the server model and we will check it against the supported-DIMM list before you order.
Priced per unit, with tiered pricing at quantity. Send the number you need and we will come back with the banded price.
Specifications
General
- Manufacturer part number
- 370-AAWL
- Product Type
- Server Memory
- Manufacturer
- Dell
Technical specifications
- Capacity
- 16GB
- Memory Type
- DDR3
- Module Type
- ECC
These are the 5 facts we can state about 370-AAWL without inferring anything. Compatibility beyond this is confirmed per platform, on request, before you order.
Where the Dell 370-AAWL is deployed
- Like-for-like replacement of 370-AAWL in an existing system
- Filling the remaining channels on a part-populated board
- Replacing a DIMM flagged by correctable-error logging
Who this part is for
- Virtualisation teams raising host memory to fit more guests per node
- Engineers populating channels correctly on a new or part-filled board
- Teams retiring mixed-speed memory in favour of one consistent part
What you get ordering this from us
Ordered by part number
Quoted and supplied against 370-AAWL specifically, so what arrives is what your build sheet asks for.
Answered by a human
A quote comes back with the reasoning attached, including the cases where we think you should buy something else.
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.
Questions buyers ask about this part
Is 370-AAWL genuine and is the warranty intact?
Yes, new and sealed, with the Dell warranty and the firmware update path intact. We do not sell refurbished stock as new, and we do not source grey-market units.
Will 370-AAWL 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 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.