DOES Artificial Intelligence Need Special Computers ? Quo Vadis Hardware for AI?

14.30 - Slovak Time zone,
06.30 am Los Angeles time zone
8.30pm - Beijing Time zone
9.30pm - Tokyo Time zone

language : English

„SOA in HARDWARE for Artificial Intelligence“
(The State of the ART in HARDWARE for AI)

Presentation of leading-edge companies
Huawei versus NVIDIA for AI present and Future.

Program :

1. Opening
2. NVIDIA representative - 30 minutes (Ralph Hinsche, NVIDIA)
3. Huawei representative - 30 minutes (Goran Licanin, Huawei)
4. Q&A to the topic
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NVIDIA Title : “Extreme Scaling of AI : Supercharging Machine Learning and Deep Learning"

Abstract :
In this presentation we will demonstrate the extreme scaling capabilities within a single DGX A100 node with 5 Petaflop/s (Tensor Core operations). Following that we highlight the mature and advanced DL and ML ecosystem supporting DGX. We conclude with architectural blueprints for massive multi-node scaling to further expand overall performance and provide an inside view on our own SaturnV AI-Supercluster.

Bio :
Ralph Hinsche is currently responsible at NVIDIA as a Business Development Manager for GPU-Computing (TESLA) and Deep Learning (DGX) within the DACH and Eastern Europe region since 2014. With more than 30 years of HPC experience Ralph started as a student in 1987 at Parsytec (Transputer, OCCAM) in Aachen/Germany. This was followed by head of department activities at several SUN Microsystems partners with the focus on HPC and he contributed to a national development project (parallel computer GIGAmachine). In 1996 he became a sales engineer at EUREM with a focus on "Wide Area Automation" (Distributed Intelligence). In his former position, he was Key Account Manager at circular for nearly 10 years mainly in the field of HPC including close cooperation with SUN Microsystems and DELL.