here!
I’m your shopping assistant for PC builds, upgrades, and everything tech.
Got questions? Ask away!
Start a conversation
- Free 30-day Returns
$998.00
Meet Your Seller
Visit NEMIX RAM Store
FOLLOW
NEMIX RAM 128GB (1X128GB) DDR4 2933MHZ PC4-23400 4Rx4 1.2V 288-PIN ECC LRDIMM Compatible with HPE P11057-1A1 Load Reduced Server Memory
- NEMIX RAM is a Distributor and Manufacturer of Computer Memory and Storage Upgrades. Specializing in Enterprise Storage RAM for Servers and Workstations along with all Standard and Specialty ECC Memory for NAS & PC/Mac based Computers and Laptops.
- Our Memory Delivers Enhanced Performance: No Doubt about it, Memory Upgrades are the Easiest, Most Cost Effective Way to Speed Up, Maximize and Boost the Overall Performance of Your Computing Environment.
- Simple Installation: Typically you can Easily Upgrade the Memory Yourself in a couple of Minutes. Always Refer to your Owners Manual for Detailed Instructions.
- Our Commitment: To Provide only the Best, Highest Quality, Computer Memory Products in the Industry. Back them with a Lifetime Replacement Warranty, and offer Top Tier Support from a Seasoned IT Support Staff that Completely Understands Memory Upgrades.
- Once You Install NEMIX RAM You Won't need Anything Else.
+
+
Overview
Specs
Reviews
Any questions? Ask CelesteSM will help you find out quickly.
Try me now
NEMIX RAM 128GB (1X128GB) DDR4 2933MHZ PC4-23400 4Rx4 1.2V 288-PIN ECC LRDIMM Compatible with HPE P11057-1A1 Load Reduced Server Memory
Warranty & Returns
Warranty, Returns, And Additional Information
Warranty
- Please contact the Seller directly for warranty information. Warranty information may also be found on the Manufacturer's website.
- CONTACT
Return Policies
- Return for refund within: 30 days
- Return for replacement within: 30 days
- This item is covered by NEMIX RAM Return Policy
Manufacturer Contact Info
- For a directory of all our manufacturers, please click below.
- Manufacturers Directory
LOADING...
NEMIX RAM’s 128GB DDR4-2933 ECC LRDIMM is a load-reduced server memory module for compatible HPE systems, including those calling for HPE P11057-1A1. Its 4Rx4 design and 1.2V operation suit server upgrades that require this specific memory type and speed.
Recommended For
- Operators upgrading an HPE Gen10 or other DDR4 server whose exact model, processor, and memory-population rules support a 128GB 4Rx4 LRDIMM; verify those details before ordering.
- Homelab and virtualization operators who need substantial memory capacity for multiple virtual machines or memory-heavy server workloads, provided their platform supports this LRDIMM type.
- TrueNAS or similar storage-server builders who have a workload that can make use of additional memory for ZFS caching, alongside other server memory needs.
- Server or workstation administrators replacing or expanding ECC load-reduced memory in a compatible system, rather than seeking a general-purpose desktop memory upgrade.
Real-World Use Scenarios
- A ProLiant virtualization host is running short on memory as more VMs are added; if the server supports this LRDIMM and its memory is the bottleneck, adding capacity can let it keep more VM workloads resident without relying as heavily on disk swapping.
- A database server’s working set is growing beyond available RAM; adding memory may allow more data to stay in memory, which can reduce the need to fetch it from storage when memory capacity is the limiting factor.
- An IT team is consolidating services such as web hosting, file sharing, and email on a server; more memory can provide headroom for those services to run alongside other workloads, subject to the server’s CPU, storage, and supported memory configuration.
- A data or analytics server is struggling to keep a larger working set available in memory; adding capacity can help accommodate more of that workload in RAM, but does not by itself guarantee faster processing.
- A server used for high-performance computing needs more memory for a larger job or dataset; this module may add capacity when the platform supports it, while actual job performance still depends on the CPU, memory population, and workload.