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ASUS Servers announce AI developments at NVIDIA GTC
Fri, 23rd Sep 2022
FYI, this story is more than a year old

ASUS, the IT company providing server systems, server motherboards and workstations, has announced its presence at NVIDIA GTC, a developer conference for the era of AI and the metaverse. 

At the conference, ASUS will focus on three demonstrations outlining its strategic developments in AI. 

These include the methodology behind ASUS MLPerf Training v2.0 results that achieved multiple breakthrough records; a success story exploring the building of an academic AI data centre at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia; and research AI data centre created in conjunction with the National Health Research Institute in Taiwan.

Sharing more details about the demonstrations, the company says, “ASUS MLPerf Training v2.0 benchmark results help advance machine-learning performance and efficiency, allowing researchers to evaluate the efficacy of AI training and inference based on specific server configurations.”

“Since 2021, ASUS has gained multiple breakthrough records in the data centre closed division across six AI-benchmark tasks in AI training and inferencing MLPerf Training v2.0. At the ASUS GTC session, senior ASUS software engineers will share the methodology for achieving these world-class results, as well as the company’s efforts to deliver more efficient AI workflows through machine learning.”

A major academic AI breakthrough from ASUS this year has been the collaboration with KAUST. This institution is the ranked 8th-fastest-rising young university for its research output in 2019, which has adopted the ASUS ESC N4A-E11 HGX A100 server platform for contributing to its AI research portfolio. 

This server has secured seven top performance results in MLPerf Training 2.0 with the configuration of an AMD EPYC 7773X GPU and four NVIDIA HGX A100 GPUs. 

This server is particularly suitable for academic research due to its single-CPU with four SXM architecture. In MLPerf Training 2.0, this single-CPU ESC N4A-E11 outperformed dual-CPU servers by a speed of up to 3.14 minutes.

ASUS has also been collaborating with one of the top data centres in Taiwan, the National Health Research Institutes (NHRI), which is dedicated to medical research, biotech innovations from drug discovery, genomics analysis and assisted AI. 

ASUS has provided a comprehensive AI solution in the form of RS720-E10 server and NVIDIA DGX, along with private-cloud software to envision academic AI in the future. 

As a Cloud Native Computing Foundation (CNCF) certified Kubernetes Software Conformance provider, ASUS is empowered to ignite more innovations and business opportunities in AI fields.

ASUS has also announced that it will offer NVIDIA-certified servers with the latest NVIDIA H100 GPU and the NVIDIA AI enterprise software suite by the end of the year.

The NVIDIA H100 GPU delivers unprecedented performance, scalability and security to every data centre and includes the NVIDIA AI Enterprise software suite for streamlined AI development and deployment. 

ASUS NVIDIA-certified servers featuring 350W TDP H100 GPUs are optimized for the best performance on GPU-accelerated workloads and validated for key capabilities in manageability, scalability and security.

Since the release of the NVIDIA Grace CPU chip in April, ASUS has continued working with NVIDIA to speed the development of next-generation servers. This Arm-based CPU server will revamp current hardware architecture and deliver better performance, improved power consumption and a highly flexible hardware design.

ASUS expects to release more detail in 2023.