Durham, NC, August 10, 2018 –(PR.com)– Machine learning is a powerful tool with great potential for solving business problems. However, machine-learning workloads can be extremely compute-intensive, which can pose a challenge for companies who wish to enter this arena. Principled Technologies ran TensorFlow image-processing workloads on two servers, the Dell EMC PowerEdge C4140 and the Supermicro SuperServer 1029GQ-TRT, each equipped with four NVIDIA Tesla V100 PCIe GPUs. The PowerEdge C4140 solution processed more images per second than the Supermicro server did. PT also used the GPU Burn tool to determine that that the Dell EMC server kept GPUs cooler.
According to the report, “The Dell EMC PowerEdge C4140 with Multi-Vector Cooling outperformed the Supermicro SuperServer 1029GQ-TRT by up to 26.3 percent on a machine-learning workload. It also kept its four NVIDIA Tesla GPUs up to 10.8 degrees Celsius cooler.”
To learn more about the benefits of using the Dell EMC PowerEdge C4140 to run machine-learning workloads, read the full report at facts.pt/dy7ugy, or view the infographic at facts.pt/j4r973.
About Principled Technologies, Inc.
Principled Technologies, Inc. is the leading provider of technology marketing and learning & development services.
Principled Technologies, Inc. is located in Durham, North Carolina, USA. For more information, please visit www.principledtechnologies.com.
Principled Technologies, Inc.
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