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| Product Overview |
|---|
The Lenovo AMD EPYC 7302 16-Core 3.00GHz Processor is a server-grade CPU designed to provide solid multi-core performance for demanding enterprise workloads. It fits well in Lenovo server systems and is suited for virtualization, data processing, and other tasks that benefit from multiple cores and stable clock speeds. |
| General Information | |
|---|---|
| Brand | Lenovo |
| Part Number | 4XG7A38058 |
| Technical Information | |
|---|---|
| Processor Family | EPYC Rome |
| # Of Cores | 16 Core |
| Total Threads | 32 |
| Max Turbo Frequency | 3.3 GHz |
| Base Clock Speed | 3.0 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | SP3 |
| Cache | 64 MB |
| Thermal Design Power | 155 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 4 TB |
| Memory Types | DDR4 |
| Max Memory Channels | 8 |
| Bandwidth | 204.8 GB/s |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Product Description |
|---|
This Lenovo AMD EPYC 7302 processor delivers robust computing power with its 16 cores clocked at 3.00GHz, tailored for demanding server environments. Built for data centers and enterprise servers, it handles intensive workloads like virtualization, data analytics, and cloud computing with ease. IT professionals and system administrators often find this processor ideal for scaling business-critical applications and managing multiple virtual machines effectively. Key Features
You'll typically find this processor powering enterprise-level servers in data centers that require consistent and scalable performance. Its ability to manage several demanding applications simultaneously makes it a practical choice for businesses aiming to handle large-scale computing tasks without interruptions. |
| Use Cases |
|---|
The 4XG7A38058 processor is suitable for a variety of demanding server applications requiring reliable multicore performance. How It's Used:
This processor is ideal for organizations looking to optimize server performance and efficiency in demanding computing environments. |