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| Product Overview |
|---|
The HPE Q8D81A SimpliVity 380 Gen10 Node Server Cto integrates computing, storage, and networking into a single system designed for hyperconverged infrastructure setups. It fits well in environments where simplifying IT management and scaling resources are priorities, offering a balanced approach to performance and flexibility without excessive complexity. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | Q8D81A |
| Technical Information | |
|---|---|
| Memory | DDR4, RDIMM, LRDIMM, Intel Optane DC Persistent Memory (PMem), Up to 3TB (24 x 128GB LRDIMM supported) |
| Processor | Intel Xeon Scalable (Skylake/Cascade Lake) family, Up to 2 sockets, Up to 28 cores per CPU (model-dependent), Hyper-Threading, Turbo Boost |
| Storage | SATA, SAS, NVMe, 2.5" SFF hot-plug (configurable up to 24 drives) or 3.5" LFF (configurable up to 12 drives), SSD/HDD options, HPE Smart Array RAID support |
| Physical Characteristics | |
|---|---|
| Dimensions | 8.73 cm x 44.0 cm x 73.86 cm (3.43 in x 17.32 in x 29.08 in) |
| 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 Q8D81A SimpliVity 380 Gen10 Node Server Cto functions as a core building block for hyperconverged infrastructures, combining compute, storage, and networking in one server. It’s commonly used in enterprise data centers to streamline IT operations and improve resource utilization. Often found in environments that require simplified management and scalable architecture, this server is built for IT professionals seeking to consolidate workloads without sacrificing performance. Its flexibility makes it suitable for a range of applications, from virtual desktop infrastructure to remote office deployments. Key Features
This node server is typically deployed in data centers where IT teams focus on reducing complexity and improving operational efficiency. It plays a key role in helping organizations manage growing data requirements while maintaining reliable performance. |