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| Product Overview |
|---|
The SRN50 Intel Xeon Platinum 8581V is a high-capacity server processor designed to handle intensive workloads with 60 cores and a large 300MB L3 cache. It fits into enterprise-level systems requiring scalable performance, providing a reliable base for compute-heavy applications in data centers and enterprise servers. |
| General Information | |
|---|---|
| Brand | Intel |
| Part Number | SRN50 |
| Technical Information | |
|---|---|
| Processor Family | Xeon Platinum |
| Total Threads | 120 |
| Base Clock Speed | 2.0 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 10 nm |
| Socket Type | LGA 4677 |
| Cache | 300 MB |
| Thermal Design Power | 270 W |
| Memory Specifications | |
|---|---|
| Memory Types | DDR5 |
| Max Memory Channels | 8 |
| Bandwidth | 307.2 GB/s |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, UL, TUV, cULus, CSA |
| Product Description |
|---|
This Intel Xeon Platinum 8581V processor is built for heavy-duty computing environments that require massive parallel processing power. Often found in data centers and enterprise servers, it handles complex workloads like virtualization, AI, and large-scale analytics. Engineered with 60 cores, it offers substantial multi-threading capabilities suited for IT professionals, engineers, and organizations pushing the limits of performance. It’s commonly used in server racks where reliability and throughput are critical. Key Features
This processor typically finds its place in server farms, high-performance computing clusters, and cloud infrastructure setups. It plays a key role in enabling faster computations and smoother multitasking in demanding IT environments. |
| Use Cases |
|---|
The SRN50 Intel Xeon Platinum 8581V is ideal for organizations needing powerful server processing to handle complex and parallel workloads. How It's Used:
By integrating the SRN50 processor, IT environments can achieve enhanced compute density and efficiency for demanding computational tasks. |