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Product Overview |
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The Dell 3434N with AMD EPYC 73F3 processor combines high clock speed and multiple cores to handle demanding server tasks. It fits well in enterprise data centers and virtualized environments, providing the processing muscle needed for heavy workloads without unnecessary complexity. |
General Information |
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| Brand | AMD |
| Part Number | 3434N |
Technical Information |
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| Processor Family | EPYC Milan |
| # Of Cores | 16 Core |
| Total Threads | 32 |
| Max Turbo Frequency | 4.0 GHz |
| Base Clock Speed | 3.5 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | SP3 |
| Cache | 256 MB |
| Thermal Design Power | 240 W |
Memory Specifications |
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| Max Memory Size | 4 TB |
| Memory Types | DDR4 |
| Max Memory Channels | 8 |
| Bandwidth | 204.8 GB/s |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Miscellaneous |
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| Compliance Standards | RoHS |
Product Description |
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The Dell 3434N equipped with an AMD EPYC 73F3 processor delivers robust computing power tailored for enterprise environments. It’s often found in data centers handling intensive tasks like virtualization, large databases, and cloud services. Built for IT professionals and system administrators, this system balances raw processing speed and energy efficiency to support complex workloads without compromise. Key Features
Systems like the Dell 3434N are typically deployed in corporate data centers and cloud hosting platforms. They help maintain smooth operations for resource-heavy applications and deliver reliable performance where it counts. |
Use Cases |
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The AMD EPYC 73F3 16-core processor is tailored for enterprise-grade servers that demand high throughput and low latency. It suits data center administrators managing virtualization clusters and IT teams running compute-intensive workloads requiring consistent, high-frequency processing. How It's Used:
This processor enhances operational efficiency by delivering robust multi-threaded performance, which is crucial for scaling workloads and maintaining responsiveness across demanding server environments. Its design aligns well with infrastructures that prioritize both compute density and application responsiveness. |