Dell PowerEdge R940xa PlasmaENGINE on EMC - Page 5

Related resources 1 Overview In order for every industry to take advantage of GPU platforms, an efficient software has to be written for it. FASTDATA.io developed exactly that: an equally performant and efficient software technology to transform data processing from collect > store > process to collect > process > store. GPUs are exceptionally efficient in processing vast amounts of data because of the thousands of additional cores they have compared to CPUs (for comparison, NVIDIA V100 GPUs have 5,120 cores, compared to a high-end Intel(R) Xeon(R) Platinum CPUs, which has 28 cores per socket). GPUs provide greater throughput for operations that need to be performed on a tremendous amount of data concurrently. PlasmaENGINE harnesses the power of the GPU and its many cores to process data streams in real-time at scale. "Think of the GPU as a coin press machine, which can punch out 100 coins with a single operation every four seconds, whereas a CPU is a coin press which can punch out 1 coin per operation every one second. While the CPU has a faster "punch time", the GPU can punch more coins per minute. This is the key difference between the GPU and CPU. The GPU is throughput oriented, while the CPU is latency oriented." Often in the data processing pipeline, bottlenecks arise when moving data. When using GPUs to process large amounts of data, it's especially important to be able to move data quickly from the CPU to the GPU. Dell EMC's PowerEdge R940xa and its groundbreaking 1:1 CPU-to-GPU architecture moves data with speed and efficiency, which PlasmaENGINE® brings to life in the benchmark below. 5 PlasmaENGINE® on PowerEdge R940xa