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| Product Overview |
|---|
The IBM BladeCenter HS22 Custom Server is a blade server designed to fit into IBM BladeCenter chassis, providing powerful compute resources in a compact form. It’s commonly used in enterprise data centers to run demanding applications while enabling efficient management and scalability within blade infrastructures. |
| General Information | |
|---|---|
| Brand | IBM |
| Part Number | 00MM279 |
| Alternate Part Number | 00MM279-06-UK |
| Technical Information | |
|---|---|
| Memory | Up to 192GB DDR3 RDIMM (12 DIMM slots, up to 16GB per DIMM) |
| Processor | Intel Xeon 5500/5600 series (LGA1366), dual-socket (supports up to 2 CPUs), up to 6 cores per CPU |
| Physical Characteristics | |
|---|---|
| Dimensions | 1.7 x 8.66 x 22.5 inches |
| 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 IBM BladeCenter HS22 Custom Server is designed to deliver robust computing power within a compact blade form factor. Built for data centers and enterprise environments, it offers a balance of performance and flexibility for a variety of applications such as virtualization, database hosting, and cloud services. Often found in IBM BladeCenter chassis, this server is tailored for IT professionals who need scalable solutions without sacrificing density. Its compatibility with existing IBM infrastructure makes it a popular choice for organizations managing mixed workloads. Key Features
This server is typically deployed in enterprise data centers where space and power efficiency are critical. It plays a key role in consolidating workloads, improving resource utilization, and simplifying server management. |
| Use Cases |
|---|
The 00MM279 IBM BladeCenter HS22 Custom Server is ideal for organizations seeking a compact yet powerful server solution for various enterprise applications. How It's Used:
Its design and features make it well-suited for data centers aiming to maximize computing power while minimizing physical space and energy consumption. |