ASUS Reveals World-Leading AI Performance Results, Image/ASUS
ASUS recently secured 10 leading performance results with specific configurations of the ASUS ESC N4A-E11 and ESC 8000A-E11 servers and has joined the influential MLCommons MLPerf Training 2.0 benchmarks:
“ASUS is focused on creating complete, optimized solutions and strives to cultivate strong industry partnerships to enhance AI developments in diverse fields to push technology to its limits. In particular, the unique architecture in ESC N4A-E11 has achieved chart-topping scores across several benchmarks and AI disciplines.”
ASUS’ ESC N4A-E11 server’s optimal design results from one CPU and four NVIDIA Tensor Core GPUs the highest number of single-CPU cores and the most efficient GPU communications. This combination accelerates AI developments in research institutes, enterprise AI development and data center workloads.
ASUS demonstrated its capability of fully embracing and utilizing the advantages of this hardware platform:
“ESC N4A-E11, for example, secured seven leading positions in the benchmarks. This result is a testament to the benefits of ESC N4A-E11’s optimized hardware design, which features a single-CPU architecture with four GPUs to make the most efficient interconnects between CPU and GPU communications — as well as the highest efficiency NVIDIA NVLink interconnect architecture. It is also a clear demonstration that ASUS is capable of fully embracing and utilizing the advantages of this hardware platform.
For its part, the ESC8000A-E11 scored three leading positions in the benchmarks with the configuration of dual AMD EPYC™ 7763 CPUs and eight NVIDIA A100 PCIe 80GB GPUs, exercising its prowess in being optimized for BERT, MASKRCNN, MINIGO, SSD, RNNT and UNET3D AI models across the fields of image recognition, voice recognition and reinforcement.”