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| Product Overview |
|---|
The HPE ProLiant BL460c G8 blade server packs dual Intel Xeon E5-2670 v2 processors and 64GB RAM into a blade form factor designed for HPE's c-Class chassis. It fits into dense server environments where efficient use of space and power is crucial. This server is a reliable option for workloads that demand strong processing and memory performance within a compact footprint. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | 745915-S01 |
| Technical Information | |
|---|---|
| Memory | 64GB Registered DDR3 (64GB R) — typically configured as 8 x 8GB or 4 x 16GB RDIMMs; ECC, DDR3-1600 MT/s (platform supports DDR3 RDIMM/LRDIMM up to supported capacity) |
| Processor | Intel Xeon E5-2670 v2 — 10 cores / 20 threads, 2.5 GHz base clock, up to ~3.3 GHz Turbo, 25 MB L3 cache, 115W TDP |
| Physical Characteristics | |
|---|---|
| Weight | 5.00 |
| 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 HPE ProLiant BL460c G8 blade server is built to deliver powerful processing and memory capabilities in a compact design. Often found in enterprise data centers, this server supports demanding workloads and virtualization needs, making it a solid choice for IT professionals and system administrators managing medium to large scale environments. Commonly used in blade chassis setups, it integrates seamlessly with other blades to maximize computing density while maintaining manageable power and cooling requirements. Its dual Intel Xeon processors and ample RAM provide the capacity to run complex applications and handle multiple virtual machines efficiently. Key Features
This blade server is typically deployed in environments where space and power efficiency are critical, such as enterprise server rooms and cloud service providers. Its combination of processing strength and memory capacity makes it well-suited for virtualization, database management, and heavy compute tasks. |