
Safe Checkout
Secure Payments
Fast Delivery
Order Today
Free Shipping
Across the US
Easy Returns
Hassle-Free
HP SE1120 SE1120 Server QC 2.5Ghz, 4GB
- Model: HP SE1120
- Processor: Quad-Core 2.5GHz
- Memory: 4GB RAM
- Form Factor: High-Density Server Blade
- Designed for scale-out computing
- Suitable for virtualization and web serving
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 SE1120 is a server designed for high-density computing environments. This specific configuration features a Quad-Core processor running at 2.5GHz and 4GB of RAM, making it suitable for scale-out workloads.
Technical Information
| Product Line | HP SE1120 |
| Processor Speed | 2.5GHz |
Additional Specifications
| Processor Type | Quad-Core |
| Memory | 4GB |
Product Description
The HP SE1120 is part of HP's line of high-density servers, designed to maximize compute power within a minimal physical footprint. This particular model is equipped with a Quad-Core processor operating at 2.5GHz, providing a good balance of performance and power efficiency for scale-out deployments. The server is intended for environments where numerous compute nodes are required, such as large-scale web hosting, cloud computing infrastructure, or high-performance computing clusters. With 4GB of RAM, the SE1120 offers sufficient memory for typical scale-out applications. Its design prioritizes density, often meaning it's a blade or a compact form factor server that fits into specialized chassis. This allows organizations to deploy a significant number of processing units without consuming excessive rack space. The SE1120 is well-suited for workloads that can be distributed across multiple nodes, such as rendering farms, big data analytics, or large virtual machine deployments. Its focus on density and performance per watt makes it an efficient choice for modern data centers aiming to optimize resource utilization.
