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Product Overview |
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The XTAF300-HD-73G15K is a 73GB, 15,000 RPM Fibre Channel hard drive designed for enterprise storage solutions. It fits into 3.5-inch bays and handles high-speed data transfers via a 2Gbps interface, making it suitable for use in servers and SAN environments where reliable and speedy access to data is critical. |
General Information |
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| Brand | Sun |
| Part Number | XTAF300-HD-73G15K |
Technical Information |
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| Capacity | 73GB |
| Form Factor | 3.5-inch |
| Spindle Speed | 15000 RPM |
| Hot Pluggable | Yes |
| Hot Swappable | Yes |
| Hybrid Drive | No |
Interfaces/Ports |
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| Interface | Fibre Channel |
Physical Characteristics |
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| Condition | Refurbished |
| Weight | 1.76 |
Product Description |
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This hard drive is built for enterprise environments requiring quick and dependable data handling. It often appears in storage arrays and servers that demand high throughput and low latency. Commonly used in data centers and mission-critical applications, it suits IT professionals managing large databases or virtualized workloads. Its Fibre Channel interface provides robust connectivity for SAN setups. Key Features
This drive is typically deployed in business servers and storage networks where performance consistency is essential. It plays an important role ensuring data availability and operational efficiency without interruptions. |
Use Cases |
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The Sun XTAF300-HD-73G15K 73GB Fibre Channel hard drive is primarily deployed in enterprise data centers requiring rapid and consistent data throughput. It serves environments where low latency and high reliability are critical, such as multi-server storage area networks and virtualization clusters. IT professionals managing scalable storage architectures benefit from its performance characteristics. How It's Used:
This drive’s combination of speed and Fibre Channel connectivity supports operational efficiency by minimizing data bottlenecks in server environments. Its form factor and interface make it suitable for scaling storage infrastructures without compromising performance across various workload demands. |