The One About Infrastructure
From GPU-as-a-Service to hybrid architectures that link distributed resources, discover real-world stories and market insights on the decisions that turn AI projects into lasting success. Join us to explore how cloud platforms, interconnected ecosystems, and regional datacenter strategies are shaping the future of AI.
More About the Sharings
Hari will share insights on Equinix’s role in building AI-ready infrastructure - from designing hybrid environments that scale with AI demands, to interconnecting distributed data sources and compute resources across clouds and regions. Learn more about the practical architecture choices that determine whether AI initiatives succeed or stall, and feature real-world examples from manufacturing, finance, and government. (Technical Level: 100)
Lawrence (Runsun Cloud) and Sean (Rafay) will share how their GPU-as-a-Service (GPUaaS) and Platform-as-a-Service (PaaS) enables organizations to accelerate AI/ML development, optimize cloud resources, and simplify multi-cloud operations, with real-world examples of how teams are using these platforms to drive innovation at scale. (Technical Level: 100-200)
As deep learning models grow in scale and complexity, the challenge of energy-efficient AI is no longer optional, it is existential. Tao Luo (Senior Research Scientist, A*STAR IHPC) will be sharing more on the cutting-edge research across quantum computing, analog accelerators, and model compression frameworks to showcase how efficiency can be engineered into AI systems from the ground up. (Technical Level: 200)
Dan (Director of Research), Patrick and Ivan (Analysts) from SemiAnalysis will be sharing a detailed analysis on the growing need for datacenters in Asia, exploring the entire AI stack from hardware and datacenters to neoclouds and applications. Their presentation will also compare inference demand and datacenter buildouts in the APAC region with those in the US. (Technical Level: 200)
More About the Speakers
Hari Srinivasan brings over 15 years of experience at the intersection of solution architecture, marketing, product management, and sales. As Principal of Technical Marketing at Equinix Asia Pacific, he shapes go-to-market strategies and leads thought leadership initiatives, currently focusing on Distributed AI deployments. A recognized speaker and intrapreneur with awards in sales, leadership, and innovation, Hari has launched multiple solutions across Asia Pacific, creating new revenue streams through strategic partnerships. He holds dual MBAs from Singapore Management University and IE Business School (graduating as valedictorian) and an MS in Telecommunications from Drexel University.
Lawrence Ngam is Head of Sales APAC at Runsun Cloud, where he leads regional growth initiatives focused on sovereign AI infrastructure solutions. With over 10 years of experience navigating financial services, B2B enterprise sales, and emerging technologies across the Asia Pacific region, Lawrence specializes in partnering with enterprises to solve infrastructure complexity rather than simply providing hardware solutions.
Sean is Sales Director APAC at Rafay Asia, where he leads GPU Platform-as-a-Service initiatives across the region. With over 17 years of experience in the technology sector, he specializes in strategic business development and sales, with a proven track record of managing key government accounts and executing complex, high-stakes projects including the Mauritius National ID Card System.
Tao Luo is a Senior Research Scientist and Group Lead at A*STAR’s Institute of High Performance Computing (IHPC), Singapore. His research spans high-performance computing, quantum-inspired optimization, hardware–software co-design, and efficient AI for biomedicine and healthcare. He has published widely in top-tier venues such as NeurIPS, ICLR, AAAI, ECCV, ICCAD, DAC, SC, TPDS, TNNLS, and TPAMI. He also serves as an Associate Editor of IEEE TNNLS and as General Chair of NVMSA.
Dan is the Director of Research at SemiAnalysis, where he leads analytical efforts across AI infrastructure and compute. With deep technical expertise and strategic insight, he leads research from transistor-level innovation to hyperscale AI deployment. Dan’s focus areas of research include Networking and Optical, AI Systems and Neocloud Systems and Economics. His work spans the full stack – producing influential research that supports decision makers at the world’s leading technology firms, investment funds, and beyond.
Patrick Zhou is an analyst at SemiAnalysis specializing in co-packaged optics (CPO), optical interconnects, and networking architecture. He covers how bandwidth, latency, and power constraints at scale are driving a shift toward optical solutions in AI infrastructure. His work bridges photonics innovation with the evolving needs of next-generation compute. Patrick holds a Bachelor’s Degree in Mathematics from Emory University and Master of Business Administration from the London Business School.
Ivan Chiam is an analyst at SemiAnalysis focused on the economics of AI accelerators, HBM, and GPU infrastructure. With a strong background in financial modeling and semiconductor markets, he brings a data-driven perspective to cost structures, supply-demand dynamics, and the business impact of next-gen compute. Ivan holds a Bachelor of Business Administration from the Singapore Management University.