Organizations from a wide array of industries depend on artificial intelligence (AI) and machine learning (ML) to forecast sales,
segment their customer bases, identify risks, manage complex supply networks, optimize costs, and improve efficiencies. However
they are applied, all AI and ML use cases depend on compute performance (in addition to the speed and quantity of memory and the
bandwidth of interconnects and networking). And due to the nature of the data companies use for activities like predictive customer
analytics or fraud detection, security is often just as critical.
Because of the performance needs of AI and ML, the infrastructure from compute, local memory, network bandwidth, and data
storage to support these workloads can represent a significant investment, which drives the need for rigorous evaluation before
purchase. Industry-standard benchmarks can be good for this—and world records can be even better—if they are evaluated in the
right way.
Companies need to rapidly ingest, store, and process their data. These benchmarks can provide insights into how quickly data can be
collected, processed, and accessed once stored. In order to investigate the relationship between high benchmark performance and
potential business value in the real world, Prowess Consulting dug deeper into what strong showings in industry benchmarks can
mean for businesses deploying world-record servers. Because of its outsized market share and the number of world records
Dell Technologies holds in AI and ML scenarios, represented by industry-recognized benchmarks, Prowess specifically looked at
Dell™ PowerEdge™ servers.
