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| Product Overview |
|---|
The HP ProLiant BL40p is a blade server that brings together processing power and compact design for enterprise environments. It fits into blade chassis to optimize space and energy use while providing steady performance for multi-threaded applications and standard server tasks. |
| General Information | |
|---|---|
| Brand | HP |
| Technical Information | |
|---|---|
| Memory | 512MB DDR SDRAM |
| Processor | Intel Xeon MP 2.0 GHz |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The HP ProLiant BL40p is a blade server designed to handle demanding workloads in data centers that require compact and efficient computing power. It’s often found in enterprise environments where space-saving and scalability are critical. Built for IT professionals and organizations managing virtualized or multi-user applications, this server balances processing capability with power efficiency. The integration of an Intel Xeon MP processor ensures solid performance for multi-threaded applications, while the DDR SDRAM supports smooth operation of server processes. Key Features
In practice, the BL40p is typically deployed in blade server chassis, supporting business applications, databases, or virtualization tasks. It plays a practical role in consolidating server resources while maintaining consistent performance levels. |
| Use Cases |
|---|
The HP ProLiant BL40p blade server is designed for data center environments requiring dense server deployments with reliable multi-threaded processing. It suits enterprises and service providers managing virtualization workloads, application hosting, or web services where space and power efficiency are critical. How It's Used:
This blade server facilitates operational efficiency by combining compute power with energy-conscious design, enabling organizations to scale server capacity without expanding data center footprint. Its integration into blade ecosystems supports streamlined maintenance and resource allocation aligned with evolving workload demands. |