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Product Overview |
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The Dell 2CFT6 EPYC 9554 processor delivers 64 cores at 3.1GHz with support for PCIe Gen 4, fitting seamlessly into server environments that require high throughput and multi-threading. It’s designed to handle demanding enterprise applications and is typically found in data centers focused on cloud services, virtualization, and analytics workloads. |
General Information |
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| Brand | AMD |
| Part Number | 2CFT6 |
Technical Information |
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| Processor Family | EPYC Genoa |
| # Of Cores | 64 Core |
| Total Threads | 128 |
| Base Clock Speed | 3.10 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 5 nm |
| Socket Type | SP5 |
| Cache | 256 MB |
| Thermal Design Power | 360 W |
Memory Specifications |
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| Memory Types | DDR5 |
| Max Memory Channels | 12 |
| Bandwidth | 460.8 GB/s |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Product Description |
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This Dell 2CFT6 EPYC 9554 processor is a powerful CPU designed to handle demanding server tasks with ease. It’s commonly found in enterprise data centers, powering cloud computing, virtualization, and large-scale database systems. The chip is built for professionals needing reliable and scalable performance for multi-threaded applications. Key Features
This processor often gets deployed in environments where sustained performance and multitasking are critical, such as virtualization hosts or large database servers. It plays a key role in managing complex workloads without bottlenecks, making it a staple in modern high-performance computing setups. |
Use Cases |
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The AMD EPYC 9554 processor is primarily utilized in high-capacity server environments where multi-threaded performance and throughput are critical. It is ideal for data centers and enterprise IT infrastructures managing complex workloads such as virtualization, large-scale analytics, and cloud-based services. How It's Used:
This processor's architecture supports scalable performance enhancements in demanding IT operations, facilitating efficient resource management and improved workload handling in server farms and data centers. |