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Product Overview |
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The Dell 370-BDQS memory kit delivers 256GB of DDR5-6400 ECC Registered server memory using four 64GB Samsung OEM modules. It features a 2Rx4 rank configuration with CL52 latency, designed specifically for Dell servers requiring registered DIMMs that support error correction and high data rates. |
General Information |
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| Brand | Dell |
Technical Information |
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| Memory Technology | DDR5 |
| Module Type | RDIMM |
| RAM Standard | PC5-51200 |
| Pin Count | 288-Pin |
| Error Correction | ECC Registered |
| Rank | 2Rx4 |
| Voltage | 1.1V |
Performance |
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| Bus Speed | DDR5-6400 (6400 MT/s) |
| Bandwidth | 51200 MB/s |
| Native Speed | DDR5-6400 |
| CAS | CL52 |
Physical Characteristics |
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| Package | FBGA |
| Weight | 3.00 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE |
| Assembly Required | No |
Product Description |
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The Dell 370-BDQS is a server memory bundle kit comprising four 64GB DDR5 Registered DIMMs, totaling 256GB of system memory. Designed for use in servers, this kit supports error-correcting code (ECC) to enhance data integrity during operation. This memory kit is typically used by IT professionals and system administrators who require reliable and large-capacity memory solutions optimized for enterprise server environments. Key Features
This memory kit provides the foundational capacity and stability needed for demanding server workloads, supporting system reliability through ECC and registered memory architecture. It is suited for enterprise servers requiring balanced memory size and speed. |
Use Cases |
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The 370-BDQS server memory kit is commonly deployed in enterprise data centers and server farms where large memory capacity and error correction are essential. It supports workloads involving virtualization, database management, and large-scale computing. How It's Used:
These modules play a critical role in maintaining server stability and performance in professional IT environments, ensuring data integrity and supporting demanding computational workloads. |
FAQ's |
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