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| Product Overview |
|---|
The AMD EPYC 9274F 24-Core 4.05GHz processor is designed to handle intense server workloads with a blend of high core count and fast clock speeds. It fits well within data center environments where reliability and performance under sustained load are essential. Its large cache and power rating support scenarios demanding swift data access and compute efficiency. |
| General Information | |
|---|---|
| Brand | AMD |
| Part Number | AMD EPYC 9255 |
| Technical Information | |
|---|---|
| Processor Family | EPYC Genoa |
| # Of Cores | 24 Core |
| Total Threads | 48 |
| Max Turbo Frequency | 4.05 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 5 nm |
| Socket Type | SP5 |
| Cache | 256 MB |
| Thermal Design Power | 320 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 6 TB |
| Memory Types | DDR5 |
| Max Memory Channels | 12 |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Compliance Standards | WEEE, RoHS |
| Product Description |
|---|
The AMD EPYC 9274F processor delivers substantial computing power catering to data centers and enterprise servers. It is built for handling large-scale computing tasks that require a mix of high core counts and strong clock speeds. Often found in high-performance server setups, this CPU supports virtualization, cloud computing, and intensive database operations effectively. IT professionals and system architects rely on it for its balance of cores, cache, and frequency, which improves workload throughput. Key Features
This processor is commonly deployed in server rooms where complex simulations, analytics, or hosting multiple virtual machines are routine. It supports critical workloads without bottlenecks, helping businesses manage infrastructure efficiently. |
| Use Cases |
|---|
The AMD EPYC 9274F processor is commonly employed in enterprise server environments where high processing power and reliability are essential. How It's Used:
This processor is ideal for organizations seeking to optimize server performance for complex and resource-intensive applications. |