M393B4G70AM0-CF8: Samsung 32GB DDR3 1066MHz CL7 ECC RDIMM Memory
MPN: M393B4G70AM0-CF8|By: Samsung
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
M393B4G70AM0-CF8 is a Samsung 32GB DDR3 1066MHz CL7 ECC RDIMM Memory. 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 32GB 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
- M393B4G70AM0-CF8
- Product Type
- Server Memory
- Manufacturer
- Samsung
Technical specifications
- Capacity
- 32GB
- Memory Type
- DDR3
- Module Type
- ECC
These are the 5 facts we can state about M393B4G70AM0-CF8 without inferring anything. Compatibility beyond this is confirmed per platform, on request, before you order.
Where the Samsung M393B4G70AM0-CF8 is deployed
- Sourcing M393B4G70AM0-CF8 against a build sheet that names it explicitly
- Filling the remaining channels on a part-populated board
- Raising host memory to fit more virtual machines per node
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 M393B4G70AM0-CF8 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 M393B4G70AM0-CF8 genuine and is the warranty intact?
Yes. Supplied new and unopened, so the manufacturer warranty and firmware update path stay supported. No grey-market stock and no refurbished units sold as new.
Will M393B4G70AM0-CF8 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. Purchase orders are accepted from qualified organisations, net terms are available on approval, and tiered pricing applies at quantity. Tell us how many you need.
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 |
| 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 |
| Kingston 8GB DDR4-3200 PC4-25600 ECC RDIMM CL22 288-Pin Server Memory Module | Kingston | Capacity: 8GB | In Stock | $35 |
Browse all Server Memory or everything we stock from Samsung.
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.