4X77B07424: Lenovo 96GB 6400MHz RDIMM DDR5
MPN: 4X77B07424|By: Lenovo
Starting from
$5,560
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 96GB 6400MHz RDIMM DDR5 is supplied under part number 4X77B07424. A channel runs at the speed of its slowest module, so a faster part fitted alongside an older one buys nothing. Tell us what is already installed and we will keep the channel consistent.
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
- 4X77B07424
- Product Type
- Server Memory
- Manufacturer
- Lenovo
Technical specifications
- Capacity
- 96GB
- Memory Type
- DDR5
- Module Type
- RDIMM
Published specifications for 4X77B07424. Anything not listed here we will confirm against the manufacturer's documentation before quoting, because we would rather answer the question than let you assume.
Where the Lenovo 4X77B07424 is deployed
- Swapping out a failed server memory module for 4X77B07424 under change control
- Replacing a DIMM flagged by correctable-error logging
- Filling the remaining channels on a part-populated board
Who this part is for
- MSPs matching DIMMs to what a customer already has installed
- 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
The order is placed against 4X77B07424, 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.
Rank and voltage confirmed
We check rank, voltage and module type against the platform before quoting, which is where most memory orders go wrong.
Questions buyers ask about this part
Is 4X77B07424 genuine and is the warranty intact?
Yes, new and sealed, with the Lenovo warranty and the firmware update path intact. We do not sell refurbished stock as new, and we do not source grey-market units.
Will 4X77B07424 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.