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| Product Overview |
|---|
The IBM x3530 M4 System serves as a reliable rack-mounted server designed to deliver balanced processing and storage capabilities. It fits well in professional IT environments that need dependable performance for diverse computing tasks, from virtualization to business applications. |
| General Information | |
|---|---|
| Brand | IBM |
| Part Number | 7160-AC1 |
| Alternate Part Number | 7160-AC1-06-UK |
| Technical Information | |
|---|---|
| Memory | Up to 384GB DDR3 ECC (12 DIMM slots) — supports RDIMM/LRDIMM; DDR3-1600/1333 MHz (configuration dependent) |
| Processor | Supports up to 2× Intel Xeon E5-2400 series (Sandy Bridge‑EP) processors (LGA2011) — example SKUs: E5-2403, E5-2430, E5-2450, E5-2470 (actual CPU depends on configuration) |
| 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 IBM x3530 M4 System is a versatile rack server built for business environments that require reliable computing power and flexible storage. It is often found in data centers and enterprise settings where efficient handling of applications and data is critical. Designed for IT professionals and system administrators, this server balances performance and expandability, making it suitable for virtualization, database management, and web hosting tasks. Key Features
This system commonly operates in small to medium business data centers and branch offices, where it supports critical workloads without demanding excessive space. Its balance of processing power and storage versatility helps maintain smooth operations and data security in real-world scenarios. |
| Use Cases |
|---|
The 7160-AC1 IBM x3530 M4 System is designed to support a variety of business and IT operational needs. How It's Used:
Its adaptability and performance make it a practical solution for organizations aiming to optimize their server capabilities and improve operational efficiency. |