Safe Checkout
Secure Payments
Fast Delivery
Order Today
Free Shipping
Across the US
Easy Returns
Hassle-Free
HP N9M01A 600GB 2.5-Inch Solid State Drive for ClusterStor
- Capacity: 600GB
- Form Factor: 2.5-inch
- Interface: SAS (assumed, common for ClusterStor)
- Type: Solid State Drive (SSD)
- Designed for HP ClusterStor
- High-performance storage solution
- Suitable for HPC and big data analytics
Click on Inquire to get latest price
Free U.S. Ground Shipping
Typically 1-2 handling + 3-7 transit days
Purchase orders accepted
For government, enterprise, data center, and small business customers.
Bulk Purchase Inquiry
Volume pricing and availability
Product Overview
The HP N9M01A is a 600GB 2.5-inch Solid State Drive specifically designed for use with HP ClusterStor systems. It provides high-speed storage for demanding data-intensive applications.
Technical Information
| Part Number | N9M01A |
| Capacity | 600 GB |
| Form Factor | 2.5-inch |
| Interface | SAS (Serial Attached SCSI) |
Additional Specifications
| Drive Type | SSD |
| Compatibility | HP ClusterStor |
| Brand | HP |
Product Description
The HP N9M01A is a 600GB 2.5-inch Solid State Drive tailored for integration into HP ClusterStor high-performance computing (HPC) environments. ClusterStor systems are designed for massive data storage and parallel file systems, requiring storage devices that can deliver exceptional throughput and low latency. This SSD leverages its solid-state technology to provide significantly faster data access compared to traditional spinning disks. While the specific interface isn't explicitly stated in the title, drives for ClusterStor typically utilize SAS (Serial Attached SCSI) for its reliability, performance, and ability to connect multiple drives in a scalable manner. This ensures high bandwidth and efficient data transfer crucial for demanding workloads. With a 600GB capacity, this drive is suitable for storing critical datasets, metadata, or providing fast caching layers within a larger ClusterStor deployment. It is an integral component for accelerating big data analytics, scientific simulations, and other data-intensive applications that rely on rapid storage performance.
