Interni SSD HPE 3,84 TB 2,5 inch SAS P49736-001

The HPE 3.84 TB 2.5" SAS internal solid state drive is engineered for enterprise server environments that demand consistent performance and high endurance. With a 2.5-inch form factor and SAS interface supporting up to 12 Gbit/s data transfer, this SSD provides large usable capacity of 3.84 TB in a compact drive bay, improving application responsiveness and lowering I/O latency for data-intensive workloads.

Advantages

This internal SSD combines high-capacity storage with the reliability expected in server deployments. The 2.5" form factor allows efficient use of rack space while the SAS interface delivers stable throughput and compatibility with enterprise storage controllers. Built for sustained performance, the drive reduces bottlenecks in virtualization, databases, and high-transaction systems, and supports consistent read/write performance under heavy loads.

Suitable for

• Database servers handling large datasets and frequent transactions
• Virtualization hosts and hyperconverged infrastructure
• Enterprise applications requiring low latency and high IOPS
• High-performance storage arrays and caching tiers

Key specifications

• Storage capacity: 3.84 TB (3840 GB)
• Form factor: 2.5-inch
• Interface: SAS, up to 12 Gbit/s
• Intended use: internal server/enterprise SSD

How to use

Install the drive in a compatible 2.5" server bay or drive sled using the server manufacturer’s installation procedure. Ensure the host controller supports 12 Gbit/s SAS connections and that firmware and drivers are up to date. After physical installation, configure RAID or storage pooling as required by your environment, initialize and format the drive within the operating system or storage management software, and monitor drive health via system management tools.

Recommendations

For optimal lifecycle and predictable performance, use the drive in environments with proper cooling, maintain up-to-date firmware, and employ enterprise-class storage management practices such as regular monitoring of SMART metrics and workload balancing through RAID or tiering strategies.