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Product Overview |
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The Kioxia PM7-R SDFU053GFB04T is a 7.68TB SAS-4 SSD designed for read-intensive enterprise workloads. It features a 2.5-inch, 15mm form factor and supports a 24 Gb/s interface speed. The drive includes Self-Encrypting Drive (SED) functionality to help secure stored data. |
General Information |
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| Brand | Kioxia |
Technical Information |
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| Capacity | 7.68TB |
| NAND Flash | BiCS FLASH (3D NAND) |
| Memory Technology | Triple-Level Cell (TLC) |
| Form Factor | 2.5-inch |
| Interface | SAS 24Gb/s |
| MTBF | 2000000 hours |
| Hot Swappable | Yes |
| Hot Pluggable | Yes |
Physical Characteristics |
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| Dimensions | 15mm x 69.85mm x 100.45mm |
| Weight | 0.60 |
| Condition | Refurbished |
Miscellaneous |
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| Compliance Standards | WEEE, RoHS, CE, FCC, UL, TUV |
Product Description |
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The Kioxia PM7-R SDFU053GFB04T is a solid state drive engineered for enterprise storage needs, offering a large 7.68TB capacity. It utilizes the SAS-4 interface with a 24 Gb/s transfer rate to support demanding data center environments. Designed in a 2.5-inch 15mm form factor, it fits standard server drive bays. This SSD is optimized for read-intensive applications and incorporates Self-Encrypting Drive (SED) technology to maintain data security. It is typically used by IT professionals managing storage infrastructure requiring capacity, security, and consistent read performance. Key Features
This SSD serves as a reliable storage component within data centers and enterprise servers, providing a balance of capacity, security, and read performance. Its design aligns with the needs of environments where data integrity and access speed are critical. |
Use Cases |
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This Kioxia PM7-R SSD is intended for enterprise environments requiring high-capacity, secure storage with optimized read performance. It suits data centers and server deployments where large volumes of read data are processed regularly. How It's Used:
Overall, this SSD plays a role in maintaining efficient and secure data access in enterprise storage solutions. Its capacity and features allow IT teams to manage large datasets effectively. |
FAQ's |
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