Steven Eliuk
CEO at I/ONX High Performance Compute
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolSteven Eliuk is a seasoned AI infrastructure executive and CEO of I/ONX, with two decades of experience at the nexus of high-performance computing and enterprise AI. He built and led large technical organizations at IBM—most recently as VP/STO for Data Intelligence—driving scalable, governed AI platforms and global teams of ~600. A PhD in Computing Science from the University of Alberta, he combines deep systems expertise (HPC, multi-GPU, intranode fabrics) with practical product and governance instincts to reduce the real-world cost and environmental impact of AI. At I/ONX he is commercializing a hybrid GPU/NPU intranode architecture that collapses legacy clusters to cut power and hardware waste, an effort born from firsthand experience optimizing distributed ML at Samsung and IBM. He also contributes to AI governance broadly through roles at the World Economic Forum and on corporate boards, underscoring a rare blend of technical invention and ethics-driven leadership. Based in the Bay Area, he focuses on making enterprise AI measurable, sustainable, and architecturally efficient.
12 years of coding experience
21 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Alberta
Spanish, English
Github Skills (1)
emscripten2
Github contributions (4)
KhronosGroup/WebCL
Nov 2013 - Dec 2013
Contributions:24 commits in 28 days
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