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Industrial Edge
On-Device ML
Enterprise Use Case

Author:

Prem Theivendran

Director, Software Engineering
Expedera

Prem Theivendran is Director of Software Engineering at Expedera, where he leads the development and productization of Expedera’s software toolchain and SDK. With an expertise in Deep Learning, Prem has held hardware and software design roles at Intel, Cisco, Cavium, and Xpliant. Prem holds a Bachelor of Science in Electrical Engineering and Computer Sciences from the University of California, Berkeley.

Prem Theivendran

Director, Software Engineering
Expedera

Prem Theivendran is Director of Software Engineering at Expedera, where he leads the development and productization of Expedera’s software toolchain and SDK. With an expertise in Deep Learning, Prem has held hardware and software design roles at Intel, Cisco, Cavium, and Xpliant. Prem holds a Bachelor of Science in Electrical Engineering and Computer Sciences from the University of California, Berkeley.

Responsible AI is often framed in terms of ethical models and fair data—but the foundation for responsibility lies in infrastructure. In this talk, we’ll explore how platform-level capabilities like environment isolation, auditability, workload reproducibility, and resource-aware orchestration are essential to delivering AI that’s not just performant, but trustworthy. We’ll also examine how infrastructure decisions directly impact the quality and reliability of model evaluations—enabling teams to catch bias, ensure compliance, and meet evolving governance standards. If you’re building or scaling AI systems, this session will show how infrastructure becomes the enabler of responsible AI at every stage.

Data Privacy & Governance
Enterprise Use Case

Author:

Taylor Smith

Senior AI Advocate
Red Hat

Taylor Smith is a Senior AI Advocate at Red Hat, where she champions open source innovation and the responsible adoption of AI at scale. With a background in software development, Kubernetes, Linux, and technical partnerships, she focuses on helping organizations build and operationalize AI using modern infrastructure. Taylor is passionate about making AI more accessible, trustworthy, and grounded in real-world use cases. 

Taylor Smith

Senior AI Advocate
Red Hat

Taylor Smith is a Senior AI Advocate at Red Hat, where she champions open source innovation and the responsible adoption of AI at scale. With a background in software development, Kubernetes, Linux, and technical partnerships, she focuses on helping organizations build and operationalize AI using modern infrastructure. Taylor is passionate about making AI more accessible, trustworthy, and grounded in real-world use cases. 

Memory
Generative AI

Author:

Euicheol Lim

Research Fellow, System Architect
SK Hynix

Eui-cheol Lim is a Research Fellow and leader of Solution Advanced Technology team in SK Hynix. He received the B.S. degree and the M.S. degree from Yonsei University, Seoul, Korea, in 1993 and 1995, and the Ph.D. degree from Sungkyunkwan University, suwon, Korea in 2006. Dr.Lim joined SK Hynix in 2016 as a system architect in memory system R&D. Before joining SK Hynix, he had been working as an SoC architect in Samsung Electronics and leading the architecture of most Exynos mobile SoC. His recent interesting points are memory and storage system architecture with new media memory and new memory solution such as CXL memory and Processing in Memory. In particular, he is proposing a new computing architecture based on PIM, which is more efficient and flexible than existing AI accelerators, to process generative AI and LLM (large language Model) that is currently causing a sensation.

Euicheol Lim

Research Fellow, System Architect
SK Hynix

Eui-cheol Lim is a Research Fellow and leader of Solution Advanced Technology team in SK Hynix. He received the B.S. degree and the M.S. degree from Yonsei University, Seoul, Korea, in 1993 and 1995, and the Ph.D. degree from Sungkyunkwan University, suwon, Korea in 2006. Dr.Lim joined SK Hynix in 2016 as a system architect in memory system R&D. Before joining SK Hynix, he had been working as an SoC architect in Samsung Electronics and leading the architecture of most Exynos mobile SoC. His recent interesting points are memory and storage system architecture with new media memory and new memory solution such as CXL memory and Processing in Memory. In particular, he is proposing a new computing architecture based on PIM, which is more efficient and flexible than existing AI accelerators, to process generative AI and LLM (large language Model) that is currently causing a sensation.

Author:

Mark Kuemerle

VP, Technology, Custom Cloud Solutions
Marvell

Mark Kuemerle is Vice President, Technology, Custom Cloud Solutions at Marvell. In this role, Mark is responsible for defining leading-edge ASIC offerings, drives product competitiveness, and architects system-level solutions. Before joining Marvell, Mark was a Fellow in Integrated Systems Architecture at GLOBALFOUNDRIES and has held multiple engineering positions at IBM.   

He has authored numerous articles on die-to-die connectivity and multichip systems and holds several patents related to low-power technologies and package integration. Mark earned a Master of Science and a Bachelor of Science degree in Computer Engineering from Case Western Reserve University. 

 

Mark Kuemerle

VP, Technology, Custom Cloud Solutions
Marvell

Mark Kuemerle is Vice President, Technology, Custom Cloud Solutions at Marvell. In this role, Mark is responsible for defining leading-edge ASIC offerings, drives product competitiveness, and architects system-level solutions. Before joining Marvell, Mark was a Fellow in Integrated Systems Architecture at GLOBALFOUNDRIES and has held multiple engineering positions at IBM.   

He has authored numerous articles on die-to-die connectivity and multichip systems and holds several patents related to low-power technologies and package integration. Mark earned a Master of Science and a Bachelor of Science degree in Computer Engineering from Case Western Reserve University. 

 

Memory

Author:

Rochan Sankar

Co-Founder & CEO
Enfabrica

Rochan is Founder, President and CEO of Enfabrica. Prior to founding Enfabrica, he was Senior Director and leader of the Data Center Ethernet switch silicon business at Broadcom, where he defined and brought to market multiple generations of Tomahawk/Trident chips and helped build industry-wide ecosystems including 25G Ethernet and disaggregated whitebox networking.

Prior, he held roles in product management, chip architecture, and applications engineering across startup and public semiconductor companies. Rochan holds a B.A.Sc. in Electrical Engineering from the University of Toronto and an MBA from the Wharton School, and has 6 issued patents.

Rochan Sankar

Co-Founder & CEO
Enfabrica

Rochan is Founder, President and CEO of Enfabrica. Prior to founding Enfabrica, he was Senior Director and leader of the Data Center Ethernet switch silicon business at Broadcom, where he defined and brought to market multiple generations of Tomahawk/Trident chips and helped build industry-wide ecosystems including 25G Ethernet and disaggregated whitebox networking.

Prior, he held roles in product management, chip architecture, and applications engineering across startup and public semiconductor companies. Rochan holds a B.A.Sc. in Electrical Engineering from the University of Toronto and an MBA from the Wharton School, and has 6 issued patents.

Author:

Anahita Mouro

Global Lead, Data Center Field Reliability & Quality
Google

Transformational Quality Leader with over 15 years of experience in mission-critical industries and technical infrastructure with a proven track record in driving operational excellence and product reliability and quality improvements through innovative strategies, exceptional leadership, and meticulous execution.  She is adept at enhancing organizational efficiency, reducing costs, and fostering a culture of continuous improvement. Anahita is a certified ASQ Six Sigma Black Belt and Quality Engineer with deep expertise in managing large-scale projects and leading cross-functional teams to achieve strategic goals.
Passionate about building and leading high-performing technical teams and enable their success and growth.

Anahita Mouro

Global Lead, Data Center Field Reliability & Quality
Google

Transformational Quality Leader with over 15 years of experience in mission-critical industries and technical infrastructure with a proven track record in driving operational excellence and product reliability and quality improvements through innovative strategies, exceptional leadership, and meticulous execution.  She is adept at enhancing organizational efficiency, reducing costs, and fostering a culture of continuous improvement. Anahita is a certified ASQ Six Sigma Black Belt and Quality Engineer with deep expertise in managing large-scale projects and leading cross-functional teams to achieve strategic goals.
Passionate about building and leading high-performing technical teams and enable their success and growth.