September 29, 2026 · 10:00 – 17:00
A one-day deep dive on the infrastructure that will serve Southeast Asia's AI inference workloads through 2030 - built from the top down, grounded in open compute principles.
Overall Theme for the Day
Southeast Asia's AI build-out has moved from speculation to construction. Malaysia has formally restricted non-AI data centres to protect grid capacity. Singapore has reopened its allocation process under stricter green-power criteria. Indonesia, Vietnam and the Philippines have revived nuclear programmes citing AI demand explicitly. Johor is one of the fastest-growing data center markets in the world. None of this was true two years ago and the operational decisions being made now - on what clusters get built, what packaging gets specified, and what facilities get permitted - will define regional AI capacity for the rest of the decade. Architecting Inference is a day to think through those decisions from the top down, through the lens of the OCP Community focusing on token demand, cluster architecture and facility design.
The conversation about AI infrastructure too often starts with hardware. This track starts with demand. Over the course of one day in Singapore, we trace the full top-down chain: from forecasting how many tokens users will actually consume, to designing the GPU clusters that will serve them, to building the facilities (power, grid, and cooling) that make those clusters physically possible. The format is OCP-flavoured throughout: open hardware, open specs and open architectural patterns, applied to the operational reality of six SEA markets.