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Product Overview |
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The AMD EPYC 7473X 24-core processor delivers strong multi-threaded performance tailored for enterprise servers and data center workloads. It fits into systems that demand consistent processing power across many cores and threads, making it a solid choice for virtualization, databases, and intensive compute tasks. Its balance of core count and clock speed helps maintain efficient operation in dense server environments. |
General Information |
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| Brand | AMD |
| Part Number | 100-000000507 |
Technical Information |
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| # Of Cores | 24 Core |
| Total Threads | 48 |
| Base Clock Speed | 2.8 GHz |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Product Description |
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The AMD EPYC 7473X is a powerful server CPU built to handle intensive computing tasks with its 24 cores and 48 threads. It is commonly used in data centers, cloud infrastructure, and high-performance computing environments where multi-threaded workloads are frequent. IT professionals and system architects rely on this processor to deliver stable and consistent performance under heavy load. Key Features
This processor is often found in servers running virtualization, databases, or analytics workloads where multi-core performance is critical. Its role is to provide robust and consistent compute resources in environments that require high availability and throughput. Many organizations deploy this CPU in racks that power cloud services or large-scale data processing tasks. |
Use Cases |
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The AMD EPYC 7473X 24-core processor is engineered for environments requiring high-density compute power with efficient multi-threading capabilities. It is particularly suited for enterprise data centers and organizations managing complex workloads that necessitate consistent, scalable processing performance. How It's Used:
This processor enables efficient workload distribution across cores, helping organizations scale compute resources without compromising performance density. Its architecture supports demanding server tasks while maintaining operational stability in dense rack deployments. |