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Quanta 37S4LRB0030 Quanta DDR4 12xDIMM Memory Riser Module for RX4770 M2
- Supports 12x DDR4 DIMM slots
- Designed for Quanta RX4770 M2 server platform
- Enables significant memory expansion
- High-speed memory connectivity
- Optimized for server performance and reliability
- Module type: Memory Riser
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Key specifications
See full specs ↓- Product Type
- Memory Riser Module
- Memory Type
- DDR4
- Number of DIMM Slots
- 12
- Compatibility
- Quanta RX4770 M2
Product details
The Quanta 37S4LRB0030 is a specialized memory riser module designed for the Quanta RX4770 M2 server. It facilitates the installation and operation of up to 12 DIMM modules, expanding the system's memory capacity.
Technical Information
| Product Type | Memory Riser Module |
| Memory Type | DDR4 |
Additional Specifications
| Number of DIMM Slots | 12 |
| Compatibility | Quanta RX4770 M2 |
Description
The Quanta 37S4LRB0030 is engineered to meet the demanding memory requirements of high-performance computing environments, specifically within the Quanta RX4770 M2 server chassis. This riser module is crucial for systems that need to accommodate a large amount of RAM for intensive workloads such as large-scale data analysis, virtualization, or complex simulations. Its design prioritizes efficient signal integrity and power delivery to each of the twelve DDR4 DIMM slots. This ensures stable operation and optimal performance even when the memory subsystem is fully populated. The module connects to the motherboard via a high-bandwidth interface, allowing for rapid data transfer between the CPU and the memory. Installation of the 37S4LRB0030 typically involves integrating it into a dedicated slot within the server, providing a platform for the DIMMs that might not be directly accessible on the mainboard due to space constraints or form factor limitations. This component is essential for maximizing the memory footprint of compatible Quanta server systems.
Condition: Refurbished
Free U.S. ground shipping
Typically 1–2 days handling, 3–7 days in transit.
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Government, enterprise, data center and small business.
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