Accelerating HPC innovation with Artificial Intelligence for today and tomorrow

Steve Tolnai1
1Group Manager & Chief Technologist, HPC & AI Asia Pacific and Japan, Hewlett Packard Enterprise


System developers, scientists and researchers face obstacles deploying complex new HPC technologies, such as: energy efficiency, reliability and resiliency requirements and developing software to exploit HPC hardware. All can delay technology adoption and critical projects. The requirement to accelerate real-time insights and intelligence for deep learning with innovations is growing at break-neck speed. HPE & Intel have forged a multi-faceted alliance to advance customer innovation and expand HPC accessibility to enterprises of all sizes. Join this session to discover how HPE’s ecosystem of industry partnerships are delivering breakthroughs in HPC for deployment, security, power use and density, to make supercomputing more accessible and affordable for today and tomorrow.


Steve Tolnai is the Group Manager and Chief Technologist in the Hewlett Packard Enterprise servers business across Asia Pacific & Japan. In this position, he is responsible for all aspects of High Performance Computing technical strategy within Asia Pacific & Japan.

Steve manages the Technical and Solutions team for High Performance Computing and Artificial Intelligence encompassing Scientific Research, Financial Services Industry, Life and Material Sciences, Computer Automated Engineering, Government and Defence, Oil and Gas, Digital Content Creation and Electronic Design Automation.

Steve’s prior role was Principle Architect for HPC in Asia Pacific, where he architected the largest Life Science Supercomputers in Australia, Korea and Singapore also including the largest Supercomputer in Asia Pacific (ex Japan) in Australia and the largest Supercomputer in Asia Pacific.

In his 30+ years at Digital, Compaq, HP and HPE he has worked as a member of the Technical Sales and Marketing divisions where he has been involved with IT consulting to major corporations and governments in the areas of UNIX/Linux, Windows and VMS; using VAX, Alpha, x86 and NVIDIA architectures.

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