| Page 297 | Kisaco Research
Compute

Author:

Andrew Sloss

VP Technology
Vaire Computing

Andrew Sloss is VP of Technology at Vaire Computing. A founding engineer at Arm,  he played a central role in the design and deployment of 27 commercial compute systems and helped scale the company’s architecture to over 150 billion chips shipped globally. He is the author of one of the most widely referenced books on ARM system architecture and has led engineering teams across embedded, mobile, and datacenter domains. At Vaire, Andrew brings decades of silicon and systems design experience to bear on one of the hardest challenges in computing: reducing AI energy costs at scale.

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Andrew Sloss

VP Technology
Vaire Computing

Andrew Sloss is VP of Technology at Vaire Computing. A founding engineer at Arm,  he played a central role in the design and deployment of 27 commercial compute systems and helped scale the company’s architecture to over 150 billion chips shipped globally. He is the author of one of the most widely referenced books on ARM system architecture and has led engineering teams across embedded, mobile, and datacenter domains. At Vaire, Andrew brings decades of silicon and systems design experience to bear on one of the hardest challenges in computing: reducing AI energy costs at scale.

Author:

Mahesh Maddury

AI Architect
Meta

Mahesh Maddury is the lead architect for MTIA at Meta. Prior to his current role, he has held senior technical leadership roles at early-stage startups and established companies like Cisco, Brocade and Intel where he has delivered multiple high-performance ASICs. Mahesh holds an MSEE from the University of Colorado, Boulder and is the author of more than 25 patents.

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Mahesh Maddury

AI Architect
Meta

Mahesh Maddury is the lead architect for MTIA at Meta. Prior to his current role, he has held senior technical leadership roles at early-stage startups and established companies like Cisco, Brocade and Intel where he has delivered multiple high-performance ASICs. Mahesh holds an MSEE from the University of Colorado, Boulder and is the author of more than 25 patents.

Author:

Leo Leung

Director, Product Management, AI and Computing Infrastructure
Google Cloud

Leo Leung is a Director of Product Management for AI and Compute Infrastructure, shaping the strategy and development of Google Cloud's infrastructure offerings. Leo is an experienced product and marketing executive, launching over 100 products at both large vendors like Oracle Cloud Infrastructure and startups across cloud applications, platforms, infrastructure, and enterprise storage. Over the course of his career, he has led multiple product and go-to-market teams, and managed partnerships across the ecosystem including AWS, Microsoft, Google, NVIDIA, AMD, Cisco, Dell, HPE, and IBM. Leo has an MBA from the Tepper School of Business and a BA from Tufts University.

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Leo Leung

Director, Product Management, AI and Computing Infrastructure
Google Cloud

Leo Leung is a Director of Product Management for AI and Compute Infrastructure, shaping the strategy and development of Google Cloud's infrastructure offerings. Leo is an experienced product and marketing executive, launching over 100 products at both large vendors like Oracle Cloud Infrastructure and startups across cloud applications, platforms, infrastructure, and enterprise storage. Over the course of his career, he has led multiple product and go-to-market teams, and managed partnerships across the ecosystem including AWS, Microsoft, Google, NVIDIA, AMD, Cisco, Dell, HPE, and IBM. Leo has an MBA from the Tepper School of Business and a BA from Tufts University.

Author:

Ingolf Held

VP of Product
Euclyd

Ingolf Held is co-founder and VP of Product at EUCLYD, an emerging leader in datacenter compute solutions. Prior to Euclyd, Ingolf was CEO at GrAI Matter Labs, a fabless semiconductor startup offering the world’s first neuromorphic Edge AI SoCs for advanced audio and video processing. Upon acquisition by Snap Inc. he led the custom silicon program for the company’s augmented reality glasses roadmap. In addition, Ingolf held senior engineering and marketing roles at Intel, Silicon Hive, Synopsys and NXP. He holds an MScEE from Erlangen University in Germany and an MBA from Rotterdam School of Management.

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Ingolf Held

VP of Product
Euclyd

Ingolf Held is co-founder and VP of Product at EUCLYD, an emerging leader in datacenter compute solutions. Prior to Euclyd, Ingolf was CEO at GrAI Matter Labs, a fabless semiconductor startup offering the world’s first neuromorphic Edge AI SoCs for advanced audio and video processing. Upon acquisition by Snap Inc. he led the custom silicon program for the company’s augmented reality glasses roadmap. In addition, Ingolf held senior engineering and marketing roles at Intel, Silicon Hive, Synopsys and NXP. He holds an MScEE from Erlangen University in Germany and an MBA from Rotterdam School of Management.

Moderator

Author:

Brett Simpson

Co-Founder & Senior Analyst
Arete Research

Brett is a co-founder of Arete (formed in 2000) and is based in the firm's London office. He focuses on the global semiconductor component sector. Brett is a regular public speaker at industry events and after 17 years looking at the sector, has a wealth of experience to draw on. Prior to Arete, Brett spent two years at Goldman Sachs in an equity analyst role, specialising in European technology following three years with Ericsson UK, working in business development, covering all aspects of wireline and wireless telecom infrastructure.

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Brett Simpson

Co-Founder & Senior Analyst
Arete Research

Brett is a co-founder of Arete (formed in 2000) and is based in the firm's London office. He focuses on the global semiconductor component sector. Brett is a regular public speaker at industry events and after 17 years looking at the sector, has a wealth of experience to draw on. Prior to Arete, Brett spent two years at Goldman Sachs in an equity analyst role, specialising in European technology following three years with Ericsson UK, working in business development, covering all aspects of wireline and wireless telecom infrastructure.

Author:

François Sterin

COO
Data4

François Sterin joined the Data4 Group in December 2022 as Chief Operating Officer (COO). He has over 20 years of in digital infrastructure, datacenters and network for hyperscalers and cloud providers.  A member of the executive committee, he oversees the group business operations. He also manages the CSR policy via the Data4Good program.

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François Sterin

COO
Data4

François Sterin joined the Data4 Group in December 2022 as Chief Operating Officer (COO). He has over 20 years of in digital infrastructure, datacenters and network for hyperscalers and cloud providers.  A member of the executive committee, he oversees the group business operations. He also manages the CSR policy via the Data4Good program.

Industrial Edge
On-Device ML
Compute

Author:

Aniruddha Maru

VP, Infrastructure
Standard AI

Maru is a seasoned DevOps engineer with over 15 years of experience architecting solutions that scale. He currently leads the Infrastructure team at Standard AI, where he orchestrates hybrid infrastructure that powers cutting-edge machine-learning workloads that are reshaping retail.

After earning bachelor’s and master’s degrees in Computer Science from Indian Institute of Technology (IIT) Bombay, Maru has conquered diverse tech stacks throughout his career - from desktop and mobile applications to large scale distributed systems. Over his decade-plus journey through the startup ecosystem, he's delivered breakthrough solutions including smart car IoT devices, intelligent music learning platforms, and autonomous checkout systems. Maru gravitated towards the DevOps culture, finding a passion for scalable cloud-native technologies and continuous delivery of AI workloads.

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Aniruddha Maru

VP, Infrastructure
Standard AI

Maru is a seasoned DevOps engineer with over 15 years of experience architecting solutions that scale. He currently leads the Infrastructure team at Standard AI, where he orchestrates hybrid infrastructure that powers cutting-edge machine-learning workloads that are reshaping retail.

After earning bachelor’s and master’s degrees in Computer Science from Indian Institute of Technology (IIT) Bombay, Maru has conquered diverse tech stacks throughout his career - from desktop and mobile applications to large scale distributed systems. Over his decade-plus journey through the startup ecosystem, he's delivered breakthrough solutions including smart car IoT devices, intelligent music learning platforms, and autonomous checkout systems. Maru gravitated towards the DevOps culture, finding a passion for scalable cloud-native technologies and continuous delivery of AI workloads.

Gen AI
Enterprise Use Case

Author:

Arun Nandi

Chief Data & AI Officer
Carrier

Arun Nandi is a visionary keynote speaker, advisor and thought leader in AI. His professional experience driving impact for larger enterprises from Data, Analytics & Insights initiatives spans close to 20 years.

He was presented the Top 100 Influential AI & Analytics leaders award, the Top 40 AI Leaders under 40 award and LinkedIn Top Voice. He currently works as Chief Data & AI Officer at Carrier Global Corp, a Fortune 200 company. He previous was Head of Data & Analytics at Unilever. He has built AI and analytics practices from the ground up on multiple occasions.

Arun serves and consults with advisory boards and investment firms recognized as a credible voice in the industry. He was esteemed jury member at prestigious events such as The Drum Awards and LVMH’s Dare Competition. He has delivered keynote addresses at many events with other experts including Andre Ng (Deep Learning), Julien Simon (Hugging Face).

Arun works with numerous service providers within the AI, data and Analytics ecosystem and shapes the strategy for his enterprise and the industry at large.

Arun is based in New York, NY, USA. He is a keen traveler, foodie and adventure motorcyclist.

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Arun Nandi

Chief Data & AI Officer
Carrier

Arun Nandi is a visionary keynote speaker, advisor and thought leader in AI. His professional experience driving impact for larger enterprises from Data, Analytics & Insights initiatives spans close to 20 years.

He was presented the Top 100 Influential AI & Analytics leaders award, the Top 40 AI Leaders under 40 award and LinkedIn Top Voice. He currently works as Chief Data & AI Officer at Carrier Global Corp, a Fortune 200 company. He previous was Head of Data & Analytics at Unilever. He has built AI and analytics practices from the ground up on multiple occasions.

Arun serves and consults with advisory boards and investment firms recognized as a credible voice in the industry. He was esteemed jury member at prestigious events such as The Drum Awards and LVMH’s Dare Competition. He has delivered keynote addresses at many events with other experts including Andre Ng (Deep Learning), Julien Simon (Hugging Face).

Arun works with numerous service providers within the AI, data and Analytics ecosystem and shapes the strategy for his enterprise and the industry at large.

Arun is based in New York, NY, USA. He is a keen traveler, foodie and adventure motorcyclist.

Building AI solutions involves critical strategic choices impacting cost, performance, and time-to-market. GenAI use cases and associated compute need has grown exponentially in the last 2-3 years. AI developers have been posed with decisions on how to architect their applications selecting between models, training, fine-tuning, and inference techniques, managed vs. self-managed options to building AI models and applications. This session offers a pragmatic framework for navigating those choices. We'll demystify AI Infrastructure selection and deployment approaches, empowering you to make informed decisions that align your AI initiatives directly with business objectives.

Compute

Author:

Diwakar Bansal

Principal Specialist Gen AI Accelerated Compute
AWS
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Diwakar Bansal

Principal Specialist Gen AI Accelerated Compute
AWS

Author:

Ruchi Bhatia

Product Marketing Manager, AI Infrastructure
AWS

Ruchi Bhatia is a Computer Engineer with a Master’s degree in Information Systems Management from Carnegie Mellon University. She currently serves as a Product Marketing Manager at Amazon Web Services, driving awareness, engagement, and adoption of AI infrastructure solutions including Trainium and Inferentia. Ruchi is proud to be the youngest triple Kaggle Grandmaster across the Notebooks, Datasets, and Discussion categories. In her previous role as Product Marketing Manager at HP, she focused on data science and AI solutions, further strengthening her expertise at the intersection of technology and business. She also served as a Global Data Science Ambassador for Z by HP, sharing her knowledge with the broader data science community. Earlier in her career, Ruchi worked across the technology divisions of major global firms, gaining valuable industry perspective and experience. As Leader of Data Science at OpenMined, she guided a team of data scientists in developing innovative privacy-preserving AI solutions. Her expertise has led to speaking invitations at Google Cloud Next, NVIDIA GTC, and the University of Oxford, where she shares insights on AI and data science applications.

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Ruchi Bhatia

Product Marketing Manager, AI Infrastructure
AWS

Ruchi Bhatia is a Computer Engineer with a Master’s degree in Information Systems Management from Carnegie Mellon University. She currently serves as a Product Marketing Manager at Amazon Web Services, driving awareness, engagement, and adoption of AI infrastructure solutions including Trainium and Inferentia. Ruchi is proud to be the youngest triple Kaggle Grandmaster across the Notebooks, Datasets, and Discussion categories. In her previous role as Product Marketing Manager at HP, she focused on data science and AI solutions, further strengthening her expertise at the intersection of technology and business. She also served as a Global Data Science Ambassador for Z by HP, sharing her knowledge with the broader data science community. Earlier in her career, Ruchi worked across the technology divisions of major global firms, gaining valuable industry perspective and experience. As Leader of Data Science at OpenMined, she guided a team of data scientists in developing innovative privacy-preserving AI solutions. Her expertise has led to speaking invitations at Google Cloud Next, NVIDIA GTC, and the University of Oxford, where she shares insights on AI and data science applications.

Author:

Phill Lawson-Shanks

Chief Innovation Officer
Aligned Data Centers

Phill has more than 25 years of experience identifying new opportunities for further growth of leading data center infrastructure, network architecture, and cloud solutions in the U.S. and abroad.

As Chief Innovation Officer at Aligned, Phill is responsible for the management of revenue generation and profitability objectives, as well as championing key innovation, technology, and sustainability strategies aimed at maximizing new business development.

Prior to joining Aligned, Phill served as Chief Innovation Officer at EdgeConneX, where he was instrumental in driving strategies focused on creating the next generation of network edge-based data centers for the digital content ecosystem. Throughout his career, Phill has also served in numerous senior executive-level positions at Virtacore, Alcatel-Lucent, Savvis (now CenturyLink Technology Solutions), and MCI (now Verizon Digital Media Services). He currently holds eight active technology patents and serves on the Board of Directors for Netrality Data Centers as well as the Clean Energy Buyers Association (CEBA) Advisory Board.

 

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Phill Lawson-Shanks

Chief Innovation Officer
Aligned Data Centers

Phill has more than 25 years of experience identifying new opportunities for further growth of leading data center infrastructure, network architecture, and cloud solutions in the U.S. and abroad.

As Chief Innovation Officer at Aligned, Phill is responsible for the management of revenue generation and profitability objectives, as well as championing key innovation, technology, and sustainability strategies aimed at maximizing new business development.

Prior to joining Aligned, Phill served as Chief Innovation Officer at EdgeConneX, where he was instrumental in driving strategies focused on creating the next generation of network edge-based data centers for the digital content ecosystem. Throughout his career, Phill has also served in numerous senior executive-level positions at Virtacore, Alcatel-Lucent, Savvis (now CenturyLink Technology Solutions), and MCI (now Verizon Digital Media Services). He currently holds eight active technology patents and serves on the Board of Directors for Netrality Data Centers as well as the Clean Energy Buyers Association (CEBA) Advisory Board.

 

The generative AI revolution presents a dilemma: the best models are in the cloud, but your data is on-prem due to sovereignty, security, or latency needs. This makes on-prem AI complex and costly. This session explores how Google Distributed Cloud (GDC) solves this by bringing a managed platform with Google's best AI—including Gemini and Vertex—to your environment. Learn how GDC's flexible connected and air-gapped solutions  are empowering defense, finance, and other critical industries to securely unlock their data.

Industrial Edge
On-Device ML
Optimized Infrastructure

Author:

Andrew Fetterer

Group Product Manager
Google Cloud

A seasoned product leader who is passionate about cloud and innovation , Andrew Fetterer serves as the Group Product Manager for Google Distributed Cloud. In this role, he is responsible for the outbound product management that shapes how Google Cloud infrastructure operates on-premises and at the edge for the world's leading organizations.

Throughout his career, Andrew has a proven track record of building and scaling platforms and infrastructure from concept to category leadership.

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Andrew Fetterer

Group Product Manager
Google Cloud

A seasoned product leader who is passionate about cloud and innovation , Andrew Fetterer serves as the Group Product Manager for Google Distributed Cloud. In this role, he is responsible for the outbound product management that shapes how Google Cloud infrastructure operates on-premises and at the edge for the world's leading organizations.

Throughout his career, Andrew has a proven track record of building and scaling platforms and infrastructure from concept to category leadership.

Author:

David Geddam

Sr. AI Advisor & Chief AI Architect
World Wide Technology

David Geddam is a Senior AI Advisor and Chief AI Architect  with Global Solutions and Architecture group at World Wide Technology, with 25+ years of experience in AI, healthcare tech, and enterprise solutions background. He’s held key roles at Kaiser Permanente, GE Healthcare, Philips, IBM Watson Imaging, and multiple startups. David holds degrees in Biomedical Engineering and Healthcare Technology and specializes in AI including Agentic frameworks + Gen AI, Cloud computing, NLP, Computer vision, and Real-time Inferencing+ Guidance and Navigation. On the hobbies front, he plays competitive Tennis and Soccer in St. Louis.

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David Geddam

Sr. AI Advisor & Chief AI Architect
World Wide Technology

David Geddam is a Senior AI Advisor and Chief AI Architect  with Global Solutions and Architecture group at World Wide Technology, with 25+ years of experience in AI, healthcare tech, and enterprise solutions background. He’s held key roles at Kaiser Permanente, GE Healthcare, Philips, IBM Watson Imaging, and multiple startups. David holds degrees in Biomedical Engineering and Healthcare Technology and specializes in AI including Agentic frameworks + Gen AI, Cloud computing, NLP, Computer vision, and Real-time Inferencing+ Guidance and Navigation. On the hobbies front, he plays competitive Tennis and Soccer in St. Louis.

Compute
Gen AI
Agentic AI

Author:

Sid Sheth

CEO & Co-Founder
D Matrix

Sid Sheth is the co-founder and CEO of d-Matrix, the company changing the trajectory of commercially viable generative AI by introducing an entirely new computing paradigm designed from the ground-up for AI inference in modern datacenters.

Sid spent over two decades as a business and technical leader transforming startups into industry leaders and creating new categories of technology, taking them from innovations to commercialization. Before founding d-Matrix, Sid served as senior vice president & general manager for the Networking Business Unit at Inphi Corporation where he incubated and grew the group into a $1B+ business by focusing the business on the cloud and enterprise data center segment. Prior to Inphi, Sid was at NetLogic Microsystems (now Broadcom) and Intel where he ran marketing and worked in R&D for networking chips and processors.

Sid earned his MSEE from Purdue University, where he serves on the Electrical and Computer Engineering Advisory Board. He is a regularly featured speaker at industry tradeshows and conferences, is a published author at ISSCC and holds multiple patents.

 

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Sid Sheth

CEO & Co-Founder
D Matrix

Sid Sheth is the co-founder and CEO of d-Matrix, the company changing the trajectory of commercially viable generative AI by introducing an entirely new computing paradigm designed from the ground-up for AI inference in modern datacenters.

Sid spent over two decades as a business and technical leader transforming startups into industry leaders and creating new categories of technology, taking them from innovations to commercialization. Before founding d-Matrix, Sid served as senior vice president & general manager for the Networking Business Unit at Inphi Corporation where he incubated and grew the group into a $1B+ business by focusing the business on the cloud and enterprise data center segment. Prior to Inphi, Sid was at NetLogic Microsystems (now Broadcom) and Intel where he ran marketing and worked in R&D for networking chips and processors.

Sid earned his MSEE from Purdue University, where he serves on the Electrical and Computer Engineering Advisory Board. He is a regularly featured speaker at industry tradeshows and conferences, is a published author at ISSCC and holds multiple patents.

 

Author:

Lisa Spelman

CEO
Cornelis Networks

Lisa Spelman is CEO of Cornelis Networks. As CEO, Lisa is responsible for the overall management of the company. She brings to the company more than two decades of executive leadership experience, most recently serving as corporate vice president in the Data Center & AI Group and general manager of Xeon Products and Solutions at Intel Corporation. During her tenure, she expanded Xeon’s capabilities to accelerate AI workloads, establishing CPUs as a leading inference engine across the industry. Lisa also held several senior leadership roles within Intel’s IT organization, including infrastructure operations and engineering, as well as positions in finance, data center product and brand marketing, and sales. She is a graduate of the University of Washington, with a degree in business administration.

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Lisa Spelman

CEO
Cornelis Networks

Lisa Spelman is CEO of Cornelis Networks. As CEO, Lisa is responsible for the overall management of the company. She brings to the company more than two decades of executive leadership experience, most recently serving as corporate vice president in the Data Center & AI Group and general manager of Xeon Products and Solutions at Intel Corporation. During her tenure, she expanded Xeon’s capabilities to accelerate AI workloads, establishing CPUs as a leading inference engine across the industry. Lisa also held several senior leadership roles within Intel’s IT organization, including infrastructure operations and engineering, as well as positions in finance, data center product and brand marketing, and sales. She is a graduate of the University of Washington, with a degree in business administration.