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| Product Overview |
|---|
The AMD EPYC 9124 processor delivers robust 16-core performance tailored for modern server needs. It fits into SP5 socket systems and offers a substantial 64MB L3 cache, making it a solid choice for data centers focused on efficiency and scalability rather than just raw speed. |
| General Information | |
|---|---|
| Brand | AMD |
| Part Number | AMD EPYC 9015 |
| Technical Information | |
|---|---|
| # Of Cores | 16 Core |
| Total Threads | 32 |
| Base Clock Speed | 3.00 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 5 nm |
| Socket Type | SP5 |
| Cache | 64 MB L3 |
| Thermal Design Power | 200 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 6 TB |
| Memory Types | DDR5 |
| Max Memory Channels | 12 |
| Bandwidth | ≈460.8 GB/s |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The AMD EPYC 9124 is a powerful 16-core processor designed to handle demanding server workloads with efficiency. Built for SP5 socket motherboards, it fits seamlessly into data center environments that require both performance and reliability. Often found in cloud servers, virtualization hosts, and enterprise databases, this processor is well-suited for IT professionals and organizations aiming to optimize computing power without sacrificing energy efficiency. Key Features
This processor is typically deployed in enterprise data centers and cloud environments where sustained performance is critical. Its balanced design helps maintain stability under heavy loads without overwhelming power budgets. By integrating this AMD EPYC CPU, organizations can expect reliable processing power that supports a wide range of server-side applications with consistent responsiveness. |
| Use Cases |
|---|
The AMD EPYC 9124 processor is designed for high-performance computing applications requiring robust multi-core processing and efficient data handling. How It's Used:
This processor's combination of multi-core design and large cache makes it ideal for critical workloads in enterprise and cloud infrastructures, delivering reliable and efficient performance. |