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According to McKinsey’s The Next Normal: Shopping analysis, the tech-enabled “store of the future” can double retailers’ earnings before interest and taxes (EBIT) margins and will be easier to operate. Grid Dynamics took warehouse-to-shelf automation, advanced analytics, and other optimizations as use cases for comparing T350 and T340 servers performance.
PowerEdge is the first server family purpose-built for complex, emerging workloads that require high performance and large storage. These robust servers deliver the reliability and security for demanding applications inside traditional data centers or in extreme conditions stretching from outside the data center to the harsh edge environment of the IT infrastructure.
Dell EMC PowerEdge allows developing, training, and deploying cutting edge machine learning models, accelerating complex high performance computing workloads or hosting accelerated virtualization services in a standard depth.
The key goal of this document is evaluation and performance testing of the new generation Dell EMC PowerEdge T350.
Dell EMC PowerEdge T350 offers a cost-effective, entry-level solution for businesses migrating to servers from PCs or laptops. It is designed for core office workloads, core data analysis, machine learning models, and database applications.
For inferential testing of Dell EMC PowerEdge T350, the Grid Dynamics team compared its performance with Dell EMC PowerEdge T340. We also developed a solution that simulated typical retail in-store technology use cases for the powerful servers.
To demonstrate how the T350 and T340 model series servers handle AI/ML workloads, the solution simulates the computational needs of retail and related IT infrastructure for a particular store: