Plenary Sessions
The Greater Bay Area (GBA) is positioning itself as a fully integrated AI infrastructure ecosystem that combines capital, advanced manufacturing, telecom networks, and next-generation data center design.
The event examines financing and delivering AI infrastructure at speed and scale, while addressing the engineering challenges of supporting GPU-intensive workloads. Industry leaders and experts will explore next-generation data center design, including high-density architecture, advanced cooling and modular infrastructure, alongside strategies for upgrading Hong Kong’s existing data center facilities to support AI.
The program also highlights the evolving AI compute ecosystem, from the growing role of telecom operators to emerging platforms such as NeoCloud and new enterprise deployment models.
Designed for investors, operators and technology leaders, this event offers practical insights, strategic perspectives and high-value networking with the companies shaping the future of AI infrastructure in the Greater Bay Area. Don’t miss this chance to connect with the decision-makers shaping Northeast Asia’s digital future.
As AI infrastructure becomes more capital intensive and globally interconnected, Hong Kong’s strengths in financial structuring, risk management, transparency and international connectivity remain critical.
The session will provide a forward-looking perspective on upcoming data center developments, infrastructure upgrades and new AI-ready builds in Hong Kong, offering investors a clearer view of the city’s next phase of growth within the Greater Bay Area.
Capital is flowing into AI infrastructure but execution remains the challenge. The ability to finance projects at scale and managing execution risk are becoming the defining constraint.
The panel will examine how regulatory complexity, power availability and financing structures define real-world delivery of new data center and AI capacity.
The Greater Bay Area is uniquely positioned to design and build AI native data centers from the ground up. With direct access to semiconductor innovation in Shenzhen, advanced manufacturing in Guangdong and deep capital markets in Hong Kong, the region offers an integrated ecosystem for next generation AI infrastructure.
This session explores how purpose built AI facilities are being engineered to support ultra high rack densities, liquid cooling at scale, advanced optical interconnect and modular power architecture. It will examine how proximity to hardware innovation and manufacturing supply chains enables faster deployment cycles and greater design flexibility.
What are the recent policy and regulatory developments shaping digital infrastructure investments? We’ll cover key issues including zoning, tax and investment incentives and data residency affecting data center and AI infrastructure projects.
The panel addresses:
This keynote examines how hyperscalers, enterprises, and government organizations are shaping cloud strategies. It highlights hybrid, sovereign, and multi-cloud approaches aligned with security, compliance, and scalability requirements in the GBA.
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How are hybrid cooling strategies combining advanced air systems, rear door heat exchangers and direct to chip liquid cooling enabling selective high density deployment in multi storey urban facilities? What are the engineering considerations, power and thermal coordination, structural limitations and capital efficiency in retrofitting existing buildings.
This keynote explores how prefabricated power modules, liquid cooling systems and factory built AI ready racks can accelerate infrastructure deployment across the Greater Bay Area. It will examine the role of regional manufacturing ecosystems in supporting modular design, and how operators can balance speed, capital efficiency and performance in delivering next generation AI facilities.
This case study examines how a leading telecom operator is transforming its carrier grade infrastructure to support AI driven enterprise and platform workloads across the Greater Bay Area. It explores the integration of high density compute within telecom data center environments, including enhancements to power architecture, cooling systems and network fabric design.
The session will demonstrate how deep fibre assets, cross border connectivity and distributed edge locations create a differentiated foundation for scalable AI deployment. It will also highlight how telecom operators can evolve beyond traditional connectivity providers to become strategic enablers of AI infrastructure in a performance driven and increasingly interconnected compute ecosystem.
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NeoCloud has emerged as a new category of GPU native platforms purpose built to deliver high density AI compute at scale. Positioned between traditional hyperscale cloud and colocation infrastructure, NeoCloud providers offer performance optimized GPU clusters through flexible, consumption driven models. This keynote explains what NeoCloud is, how it is architected, and why it represents a structural shift in the economics of AI compute. As enterprises across the Greater Bay Area accelerate AI adoption, NeoCloud is redefining how organizations access scalable compute without bearing the full capital intensity of owning and operating GPU infrastructure.
This closing panel brings together industry leaders and investors to distill the key insights from the day and assess what lies ahead for GBA’s data center market. What are the demand drivers, risks and returns, and which segments of the GBA ecosystem are best positioned for growth over the next 12 to 24 months?
