ASUS Servers Announce AI Developments at NVIDIA GTC


Providing NVIDIA-Licensed Servers with H100 Tensor Core GPU and AI Enterprise software program suite

KEY POINTS

  • ASUS AI demonstrations at NVIDIA GTC: MLPerf Coaching v2.Zero outcomes and methodology, plus success story in educational AI development
  • NVIDIA H100 Tensor Core GPU: Each NVIDIA AI Enterprise Software program and enterprise supported by newest ASUS NVIDIA-Licensed servers
  • Subsequent-gen NVIDIA Grace server growth: ASUS quickens growth utilizing NVIDIA CPUs to empower the way forward for information facilities

Taipei, Taiwan, September 21, 2022 — ASUS, the main IT firm in server programs, server motherboards and workstations, in the present day introduced its presence at NVIDIA® GTC – a developer convention for the period of AI and the metaverse. ASUS will give attention to three demonstrations outlining its strategic developments in AI, together with: the methodology behind ASUS MLPerf Coaching v2.Zero outcomes that achieved a number of breakthrough information; successful story exploring the constructing of an educational AI information middle at King Abdullah College of Science and Expertise (KAUST) in Saudi Arabia; and a analysis AI information middle created at the side of the Nationwide Well being Analysis Institute in Taiwan.

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GTC session subject – ASUS GPU server options in MLPerf Coaching v2.0
MLPerf benchmark outcomes assist advance machine-learning efficiency and effectivity, permitting researchers to guage the efficacy of AI coaching and inference based mostly on particular server configurations. Since becoming a member of MLCommons in 2021, ASUS has gained a number of breakthrough information within the information middle closed division throughout six AI-benchmark duties in AI coaching and inferencing MLPerf Coaching v2.0. On the ASUS GTC session, senior ASUS software program engineers will share the methodology for reaching these world-class outcomes — in addition to the corporate’s efforts to ship extra environment friendly AI workflows by machine studying.

Educational and analysis AI case sharing with ASUS AI options
A key educational AI breakthrough from ASUS this yr has been the collaboration with KAUST – an establishment that’s the ranked Eighth-fastest-rising younger universities for its analysis output in 2019 — that has adopted the ASUS ESC N4A-E11 HGX A100 server platform for contributing to its AI analysis portfolio. This server has secured seven high efficiency leads to MLPerf Coaching 2.Zero with the configuration of an AMD EPYC™ 7773X GPU and 4 NVIDIA® HGX A100 GPUs. This server is specifically appropriate for tutorial analysis resulting from its single-CPU with 4 SXM structure. In MLPerf Coaching 2.0, this single-CPU ESC N4A-E11 outperformed dual-CPU servers by a pace of as much as 3.14 minutes.

ASUS has additionally been collaborating with one of many high information facilities in Taiwan — the Nationwide Well being Analysis Institutes (NHRI). That is devoted to medical analysis, biotech improvements from drug discovery, genomics evaluation and assisted AI. ASUS has offered a complete AI resolution within the type of RS720-E10 server and NVIDIA DGX, together with private-cloud software program to examine educational AI sooner or later. As a Cloud Native Computing Basis (CNCF) Licensed Kubernetes Software program Conformance supplier, ASUS is empowered to ignite extra improvements and enterprise alternatives in AI fields.

ASUS GPU servers help NVIDIA H100 Tensor Core GPU and NVIDIA AI Enterprise
ASUS will provide NVIDIA-Licensed servers with the newest NVIDIA H100 GPU and the NVIDIA AI Enterprise software program suite — with availability anticipated by the tip of the yr. The NVIDIA H100 GPU delivers unprecedented efficiency, scalability and safety to each information middle, and contains the NVIDIA AI Enterprise software program suite for streamlined AI growth and deployment. ASUS NVIDIA-Licensed servers that includes 350W TDP H100 GPUs are optimized for the perfect efficiency on GPU-accelerated workloads, in addition to validated for key capabilities in manageability, scalability and safety.

For the reason that launch of the NVIDIA Grace CPU superchip in April, ASUS has continued working with NVIDIA to hurry the event of next-generation servers. This Arm-based CPU server will revamp present {hardware} structure and ship higher efficiency, improved energy consumption and a extremely versatile {hardware} design — and ASUS expects to launch extra element in 2023.

PRESS CONTACT
Rose Ross (on behalf of ASUS Servers)
[email protected]

NOTES TO EDITORS
ASUS International Information: https://www.asus.com/information
ASUS International Fb: https://www.fb.com/asus
ASUS International Twitter: https://www.twitter.com/asus
ASUS Server web site: https://servers.asus.com
ASUS Enterprise LinkedIn: https://www.linkedin.com/showcase/asus-business

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About ASUS
ASUS is a worldwide know-how chief that gives the world’s most modern and intuitive units, elements and options to ship unimaginable experiences that improve the lives of individuals in all places. With its group of 5,000 in-house R&D consultants, ASUS is world-renowned for repeatedly reimagining in the present day’s applied sciences for tomorrow, garners greater than 11 awards every single day for high quality, innovation and design, and is ranked amongst Fortune’s World’s Most Admired Corporations.

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