HPE ProLiant ML110 Gen11 8C 4LFF 4.5U Tower

Product Description

HPE ProLiant ML110 Gen11 8C 4LFF 4.5U Tower Server

Configuration:

• Processor: Intel Xeon 3408U (8-core, 1.8 GHz) for reliable performance in business environments

• Memory: 16GB (1x16GB) for efficient data handling and multitasking

• Storage: 4LFF Bay for flexible and scalable storage options

• Storage Drive: No drive specified (supports 4LFF drives)

• Power Supply: 1 x HPE 500W Power Supply Kit for energy-efficient power delivery

• Support/Warranty: 3-Year Next Business Day (NBD) On-site support

Description:
The HPE ProLiant ML110 Gen11 8C 4LFF 4.5U Tower is a reliable tower server designed for small to medium-sized businesses looking for an entry-level, scalable solution. Powered by the Intel Xeon 3408U processor with 8 cores at 1.8GHz, this server provides solid performance for business applications, light virtualization, and data storage.

With 16GB memory (1x16GB), the server delivers reliable and smooth processing for everyday tasks. The 4LFF Bay provides the flexibility to add storage according to your business needs, supporting various SAS/SATA drives for expanding storage capacity. The 500W Power Supply Kit ensures stable and efficient power, making it ideal for business-critical applications.

HPEs 3-Year Next Business Day (NBD) On-site Warranty provides peace of mind, offering prompt on-site service to reduce downtime and keep your server running efficiently.

Industrial-Grade Durability

Crafted from premium stainless steel with a polished surface, the HPE ProLiant ML110 Gen11 ensures longevity and resistance to harsh industrial environments. Its build quality supports continuous heavy use and reduces maintenance needs, making it a dependable option for demanding settings.


Versatile Application Possibilities

This server model can be utilized in numerous industrial scenarios, including data processing, storage management, and critical enterprise applications. Its various size configurations allow businesses to scale hardware according to their requirements, optimizing operational efficiency.