Your customer needs a server that will support a new Big Data analytics solution. The customer requires parallel processing and a server that will use nigh core counts and memory capacity.
Which server should you recommend?
Your customer needs a server that will support a new Big Data analytics solution. The customer requires parallel processing and a server that will use nigh core counts and memory capacity.
Which server should you recommend?
For a Big Data analytics solution requiring parallel processing, high core counts, and substantial memory capacity, the DL385 server is the optimal choice. It is designed to handle demanding workloads with its support for AMD EPYC processors, which provide high core counts and impressive memory capacity. These features make it well-suited for the computational demands of Big Data analytics.
DL385 double the cores of DL380/SYN480
This question needs to be changed, since it is relevant for Gen10/10 Plus platforms. With the release of Gen 11 AMD still supports more cores (96 per CPU vs 64 for Intel), but less memory (up to 6TB vs 8TB for Intel). So it is confusing. I would consider DL385 though, because of the better parallel computational performance based on higher amount of cores.
Big Data analytics uses compute power to find hidden insights in large amounts of data and can require parallel processing, reduced latency, and increased bandwidth. The DL385 Genl0 Plus v2 has been optimized for Big Data analytics, utilizing the high core count, memory capacity, and large number of PCle 4.0 lanes, provided by the EPYC 7003 processor.
C. DL380