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| Product Overview |
|---|
The AD089130 Dell 64GB DDR5-6400 ECC RDIMM 2Rx4 CL52 Server Memory offers high-capacity, error-correcting DDR5 technology with a balanced 2Rx4 rank configuration and low latency timings, intended for robust and reliable server operation. |
| General Information | |
|---|---|
| Brand | Dell |
| Part Number | AD089130 |
| Technical Information | |
|---|---|
| Memory Capacity | 64GB |
| Memory Technology | DDR5 |
| Module Type | RDIMM |
| RAM Standard | PC5-51200 |
| Pin Count | 288-Pin |
| Error Correction | ECC |
| Rank | 2Rx4 |
| Voltage | 1.1V |
| Performance | |
|---|---|
| Bus Speed | 6400 MT/s |
| Bandwidth | 51200 MB/s |
| Native Speed | 6400 MT/s |
| CAS | CL52 |
| Physical Characteristics | |
|---|---|
| Package | FBGA |
| Weight | 0.50 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | No |
| Product Description |
|---|
The AD089130 Dell 64GB DDR5-6400 ECC RDIMM 2Rx4 CL52 Server Memory is a high-capacity memory module designed specifically for server environments. Featuring DDR5 technology, this module allows for faster data transfer speeds and improved overall system responsiveness compared to previous memory generations. Commonly found in enterprise-grade Dell servers, this memory module supports error-correcting code (ECC) which helps detect and correct data corruption to maintain system stability and reliability. It is ideal for data centers, cloud computing, and other demanding server applications. Key Features
This memory module integrates seamlessly with Dell server platforms, delivering reliable performance and stability in critical environments. It is engineered to meet the rigorous demands of modern data processing workloads. |
| Use Cases |
|---|
The AD089130 Dell 64GB DDR5-6400 ECC RDIMM server memory module is designed to support enterprise servers that require large memory capacities and high data integrity. How It's Used:
This server memory is a key component for businesses needing reliable and scalable memory solutions to meet growing computational demands. |