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The infrastructure underneath your AI models matters as much as the models themselves - and no market in Asia-Pacific has built that foundation faster than Singapore. The city-state now hosts over 1.4 gigawatts of installed data centre capacity across more than 70 data centres, and its data centre GPU market is projected to grow from USD 0.42 billion in 2026 to USD 0.79 billion by 2031 at a 13.37% CAGR (Mordor Intelligence). This guide explains what AI cloud infrastructure in

GPU infrastructure is one of the most expensive components of modern AI systems. But in most organizations, a significant portion of that compute remains underutilized - not because of lack of hardware, but because of how it is managed. As AI workloads scale across research, enterprise, and education, the real constraint is no longer access to GPUs. It is how efficiently they are used. FusionFlow was built to close that gap - through dynamic scheduling, intelligent orchestr