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| Product Overview |
|---|
The AMD EPYC 9365 processor integrates a high number of cores and a large cache to deliver strong performance in enterprise server settings. It fits well in multi-socket systems requiring efficient handling of parallel tasks and substantial memory bandwidth. Its design focuses on reliability and sustained operation under demanding workloads common in data centers and virtualization platforms. |
| General Information | |
|---|---|
| Brand | AMD |
| Part Number | AMD EPYC 9365 |
| Technical Information | |
|---|---|
| # Of Cores | 36 Core |
| Total Threads | 72 |
| Base Clock Speed | 3.40 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 5 nm |
| Socket Type | SP5 |
| Cache | 192 MB L3 |
| Thermal Design Power | 300 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 6 TB |
| Memory Types | DDR5 |
| Max Memory Channels | 12 |
| Bandwidth | Up to 460.8 GB/s (12-channel DDR5-4800) |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS |
| Product Description |
|---|
The AMD EPYC 9365 is a high-core-count processor designed to handle demanding data center applications. Often found in enterprise servers and cloud platforms, it delivers robust multi-threading capability for workloads like virtualization, database management, and large-scale computing tasks. Built for IT professionals and system integrators, this processor supports heavy multitasking and intensive parallel processing where reliability and efficiency are key. Its large cache and high core count make it well-suited to environments that require sustained throughput. Key Features
This processor is typically deployed in data centers, cloud infrastructure, and enterprise servers where consistent performance and scalability matter. Real-world benefits include improved multi-user response and faster computation times for complex workloads. |
| Use Cases |
|---|
The AMD EPYC 9365 processor is ideal for environments that demand high core counts and efficient processing capabilities. How It's Used:
Its robust core count and cache size enable efficient handling of concurrent tasks, making it a reliable choice for complex server workloads. |