 Understanding the Requirements:

The customer needs a server to support a new Big Data analytics solution.

The solution requires parallel processing capabilities.

High core counts and memory capacity are critical requirements.

 Server Options:

DL325 (A): A single-socket server designed for virtualization and I/O intensive workloads. While capable, it might not meet the high core and memory demands for Big Data analytics as effectively as other options.

SY480 (B): A blade server designed for high-density environments, but it might not offer the same level of core and memory capacity as other rack-mounted options for Big Data analytics.

DL385 (C): A dual-socket server optimized for high core counts and memory capacity, making it suitable for Big Data analytics and parallel processing workloads.

DL380 (D): A versatile dual-socket server with a balance of performance and expandability, but the DL385 is specifically designed to maximize core count and memory capacity.

 Why DL385 (C) is the Best Fit:

High Core Count: The DL385 Gen10 Plus server supports AMD EPYC processors, which offer high core counts, ideal for parallel processing required in Big Data analytics.

Memory Capacity: It supports up to 4TB of memory, ensuring the capacity needed for large-scale data processing tasks.

Optimized for Performance: The DL385 is designed for demanding workloads, providing the necessary performance for Big Data analytics.

 References:

HPE DL385 Gen10 Plus Server: HPE DL385 Gen10 Plus

Big Data Analytics Solutions: HPE Big Data Solutions

Comparison of HPE Servers: HPE ProLiant Servers