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Product Overview |
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The IBM 640GB Fusion-io ioDrive MLC PCI Express Add-in Card is an SSD designed to significantly speed up storage tasks in IBM System x servers. It slots into PCI Express bays to provide high-throughput, low-latency data access, fitting well in environments where quick storage performance is essential for overall system efficiency. |
General Information |
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| Brand | IBM |
| Part Number | 81Y4532 |
| Alternate Part Number | 81Y4532-03-CT |
Technical Information |
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| Capacity | 640GB |
| Memory Technology | Multi-Level Cell (MLC) |
| Form Factor | PCIe Add-in Card |
| Interface | PCIe Gen 2.0 x8 |
| Hot Swappable | No |
| Hot Pluggable | No |
Physical Characteristics |
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| Weight | 3.00 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
Product Description |
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This 640GB Fusion-io ioDrive is a solid state storage solution designed to enhance data processing speeds in enterprise environments. It delivers rapid read and write capabilities by connecting directly through the PCI Express slot, which dramatically reduces latency compared to traditional hard drives. Frequently deployed in data centers and server farms, this SSD is built for IBM System x servers, helping businesses accelerate database queries, virtualization, and other demanding workloads. IT professionals and system administrators benefit from its reliability and speed, especially in high-transaction or data-intensive scenarios. Key Features
It's commonly found in enterprise server setups where fast, consistent data access is critical. This drive plays a key role in speeding up workloads that rely on quick storage access, making it a practical choice for businesses aiming to optimize their server performance without complete hardware overhauls. |
Use Cases |
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This solid state drive is ideal for environments requiring rapid data access and high throughput. How It's Used:
These use cases benefit organizations looking to optimize server storage performance and reduce latency in critical workloads. |