
Safe Checkout
Secure Payments
Fast Delivery
Order Today
Free Shipping
Across the US
Easy Returns
Hassle-Free
HPE P27133-B21 64GB DDR4-2933MHz LRDIMM 4Rx4 CL21 Memory
- Capacity: 64GB
- Type: LRDIMM (Load-Reduced Dual In-line Memory Module)
- Speed: DDR4-2933MHz
- Latency: CL21
- Rank: 4Rx4 (Quad Rank x4)
- Manufacturer: HPE (Hewlett Packard Enterprise)
- Supports high memory capacities and system stability
- Ideal for memory-intensive enterprise applications
Click on Inquire to get latest price
Free U.S. Ground Shipping
Typically 1-2 handling + 3-7 transit days
Purchase orders accepted
For government, enterprise, data center, and small business customers.
Bulk Purchase Inquiry
Volume pricing and availability
Product Overview
This HPE P27133-B21 is a 64GB LRDIMM memory module, operating at 2933MHz with CL21 latency. It is a 4Rx4 configuration, designed for high-performance servers and workstations requiring significant memory capacity and speed.
Technical Information
| Capacity | 64GB |
| Memory Type | DDR4 LRDIMM |
| Speed | 2933MHz |
Additional Specifications
| Latency | CL21 |
| Rank | 4Rx4 |
| Manufacturer | HPE |
Product Description
The HPE P27133-B21 is a 64GB Load-Reduced Dual In-line Memory Module (LRDIMM) designed for high-performance computing environments. LRDIMMs are crucial for servers that need to support maximum memory capacities, offering superior scalability and signal integrity compared to standard RDIMMs. This module operates at a DDR4 speed of 2933MHz, ensuring rapid data transfer and processing for demanding applications. With a CAS Latency (CL) of 21, this memory module provides a good balance between speed and stability. The 4Rx4 configuration signifies a quad-rank design with four data bits per chip, which contributes to its high capacity and performance. This type of memory is often used in high-end servers to maximize memory bandwidth and density, supporting complex workloads. This HPE LRDIMM is an essential component for servers running memory-intensive tasks such as large-scale virtualization, big data analytics, and high-performance computing (HPC). Its substantial capacity and efficient operation help to accelerate application performance, improve multitasking capabilities, and ensure the overall stability and responsiveness of enterprise systems.

