370-ADGL: Dell 16GB DDR4 2400MHz ECC RDIMM Memory Module
MPN: 370-ADGL|By: Dell
Starting from
$155
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
Dell lists 370-ADGL as a 16GB DDR4 2400MHz ECC RDIMM Memory Module. Memory is the part most often ordered wrong, because rank, voltage and population rules differ per platform and per slot. This module is DDR4. Give us the server model and the DIMMs already fitted and we will confirm the configuration is supported.
Ask for the datasheet and firmware notes with the quote; we would rather you check our claim than take it.
Specifications
General
- Manufacturer part number
- 370-ADGL
- Product Type
- Server Memory
- Manufacturer
- Dell
Technical specifications
- Capacity
- 16GB
- Memory Type
- DDR4
- Module Type
- ECC
Specifications for 370-ADGL as published by Dell. 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 Dell 370-ADGL is deployed
- Swapping out a failed server memory module for 370-ADGL under change control
- Raising host memory to fit more virtual machines per node
- Standardising a host on one module type and speed
Who this part is for
- MSPs matching DIMMs to what a customer already has installed
- Procurement buying memory kits against a documented configuration
- Engineers populating channels correctly on a new or part-filled board
What you get ordering this from us
Ordered by part number
The order is placed against 370-ADGL, not against a description of it, so there is no room for a substitution you did not agree to.
Volume pricing
The listed price is per unit; tiered pricing applies at quantity and purchase orders are accepted.
Compatibility checked
We confirm the part is supported on your platform before it ships, rather than leaving the check to you.
Questions buyers ask about this part
Is 370-ADGL 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 370-ADGL 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.