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Dell CVV55 PowerEdge R7525 2U Rack Server 2x AMD EPYC 7313 3GHz Hexadeca-core (16 Core) 32GB DDR4 SD...
- 2U Rack Server form factor
- Model: Dell PowerEdge R7525
- Dual Socket configuration
- Processors: 2x AMD EPYC 7313
- Core Count: 16 Cores per CPU (32 Cores total)
- Clock Speed: 3.0GHz per CPU
- Memory: 32GB DDR4 SDRAM (expandable)
- Designed for high-performance computing and virtualization
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Product Overview
The Dell CVV55 is a 2U rack server, the PowerEdge R7525 model, configured with dual AMD EPYC 7313 processors. Each processor features 16 cores running at 3.0GHz, providing significant computational power for demanding enterprise workloads.
Technical Information
| Form Factor | 2U Rack Server |
| Model | PowerEdge R7525 |
| Processors | 2x AMD EPYC 7313 |
| Total Cores | 32 (16 per CPU) |
Additional Specifications
| Clock Speed | 3.0GHz |
| Memory | 32GB DDR4 SDRAM |
| Manufacturer | Dell |
| Part Number | CVV55 |
Product Description
The Dell CVV55, identified as a PowerEdge R7525 2U Rack Server, is a high-performance computing platform designed for demanding enterprise environments. This server is equipped with a dual-socket motherboard, supporting two powerful AMD EPYC 7313 processors. Each of these processors is a hexadeca-core (16-core) CPU, operating at a base clock speed of 3.0GHz, resulting in a substantial total of 32 cores and 64 threads for parallel processing capabilities. This configuration is further enhanced by 32GB of DDR4 SDRAM, providing ample memory for running complex applications, virtual machines, and large datasets. The PowerEdge R7525 chassis is designed for efficient cooling and scalability within a standard 2U rack space, making it suitable for data centers and server rooms. Its architecture is optimized for virtualization, high-performance computing (HPC), and demanding database workloads. With its robust processing power, ample memory, and scalable design, the Dell CVV55 PowerEdge R7525 server is engineered to deliver exceptional performance, reliability, and efficiency. It serves as a powerful foundation for critical business operations, data analytics, cloud computing, and other resource-intensive applications requiring significant computational resources.
