The Seagate 1.2TB white label 10krpm 128MB SAS 12Gb/s notebook hard drive model ST1200MM0009 is a high-performance enterprise-grade hard disk drive designed for demanding storage environments. This drive offers a massive 1.2TB of storage capacity, ideal for storing large amounts of data, applications, and media. With a blazing 10,000 RPM speed and 128MB cache, this drive ensures ultra-fast data access and smooth multitasking, making it perfect for enterprise-level tasks and heavy workloads. The SAS interface provides superior performance and reliability, ensuring long-lasting, consistent results. Whether for professional use or high-performance gaming, this Seagate drive delivers top-tier performance with dependable data storage.
ππππ πππππππ ππππππππ: This Seagate SAS drive offers a massive 1.2TB capacity, perfect for handling large files, software, and media storage, making it an excellent option for users requiring extensive space.
π.π-ππππ π πππ π πππππ: Β The 2.5-inch small form factor is typical for external hard drives, and it ensures compatibility with a wide range of devices
ππππ ππππππ ππ πππππ: With a spindle speed of 10,000 RPM (rotations per minute), this HDD is designed for faster access times and improved data transfer rates
πππππ ππππ: Β Equipped with a 128MB cache, this hard drive ensures smoother data handling and quicker transfers, reducing lag time and increasing productivity during heavy multitasking
ππππππ πππ: SAS (Serial Attached SCSI) interface, this hard drive provides higher bandwidth and more reliable performance than traditional SATA drives, ensuring consistent operation for mission-critical tasks
Features
- 1.2TB storage space for data-intensive applications
- Operates at 10,000 revolutions per minute (rpm) for swift data access
- 128MB cache enhances performance and efficiency
- SAS interface at 12Gb/s for high-speed data transfer
- Enterprise-grade reliability, ensuring data integrity and system stability
- Suitable for database servers, virtualization environments, and high-performance computing clusters