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Product Overview |
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The Kioxia CM7-R 1.92TB PCIe 5.0 x4 NVMe E3.S Read-Intensive SSD is a storage device designed for data centers and enterprise environments. It offers a 1.92TB capacity with a PCIe 5.0 x4 interface, using the NVMe protocol and housed in the E3.S form factor, optimized for workloads requiring high read performance. |
General Information |
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| Brand | Kioxia |
Technical Information |
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| Capacity | 1.92TB |
| NAND Flash | Kioxia BiCS FLASH (3D TLC) |
| Memory Technology | Triple-Level Cell (TLC) |
| Form Factor | E3.S |
| Interface | PCIe Gen 5.0 x4 |
| MTBF | 2,000,000 hours |
| Hot Swappable | Yes |
| Hot Pluggable | Yes |
Physical Characteristics |
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| Weight | 0.60 |
| Condition | Refurbished |
Miscellaneous |
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| Compliance Standards | WEEE, RoHS, CE, FCC |
Product Description |
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The Kioxia CM7-R 1.92TB PCIe 5.0 x4 NVMe E3.S Read-Intensive SSD delivers solid-state storage designed primarily for read-heavy applications. This SSD fits the E3.S form factor, a specification commonly used in modern data center environments to optimize space and cooling efficiency. Typical users include data center operators and IT professionals managing large-scale storage infrastructures where read efficiency and capacity are critical. The SSD supports PCIe 5.0 x4, enabling higher throughput compared to previous interface generations. Key Features
This SSD represents a storage component focused on balancing capacity with read performance in a compact form factor. It plays a crucial role in storage infrastructures that require efficient access to large datasets without the additional demands of write-intensive processing. |
Use Cases |
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This SSD is commonly deployed in data center or enterprise server environments where read-intensive workloads such as data analytics, content delivery, or caching are prevalent. It suits applications requiring large capacity with efficient read access and low latency. How It's Used:
Overall, this SSD functions as a storage medium optimized for read-intensive tasks, contributing to efficient data handling and throughput in environments where reading data dominates operational load. |
FAQ's |
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