4X77A90966: Lenovo 64GB TruDDR5 6400MHz RDIMM
MPN: 4X77A90966|By: Lenovo

Starting from
$5,340
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
The Lenovo 64GB TruDDR5 6400MHz RDIMM is supplied under part number 4X77A90966. Memory is the part most often ordered wrong, because rank, voltage and population rules differ per platform and per slot. Give us the server model and the DIMMs already fitted and we will confirm the configuration is supported.
Tell us the deadline you are working to and we will say whether it is achievable before you commit to it internally.
Specifications
General
- Manufacturer part number
- 4X77A90966
- Product Type
- Server Memory
- Manufacturer
- Lenovo
Technical specifications
- Capacity
- 64GB
- Module Type
- RDIMM
Specifications for 4X77A90966 as published by Lenovo. 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 Lenovo 4X77A90966 is deployed
- Swapping out a failed server memory module for 4X77A90966 under change control
- Replacing a DIMM flagged by correctable-error logging
- 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
- MSPs matching DIMMs to what a customer already has installed
- 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 4X77A90966, 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.
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 4X77A90966 genuine and is the warranty intact?
Yes. It ships new in Lenovo 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 4X77A90966 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 |
| 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 |
| 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 Lenovo.
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.
