North America vs Asia Pacific
Comparing the largest and fastest-growing GPU markets
North America has the lowest pricing and broadest availability. Asia Pacific pricing varies widely by sub-region, with India approaching North American rates while Japan and Singapore carry premiums.
Pricing Comparison
Detailed Analysis
North America and Asia Pacific represent the most established and fastest-growing GPU markets respectively. North America's pricing advantage is consistent, but Asia Pacific's diversity means the picture varies significantly by sub-region.
Japan and Singapore offer mature GPU markets with pricing 15-25% above North America. These regions provide strong availability of mainstream and high-end GPUs, making them viable for both training and inference workloads serving Asian markets.
India is the pricing outlier in Asia Pacific — GPU costs in Mumbai and Hyderabad can approach or match North American rates for certain GPU types. This makes India increasingly attractive for cost-sensitive training workloads, particularly for organisations that can tolerate slightly higher latency to Western markets.
For inference serving Asian end users, deploying in Asia Pacific eliminates 150-250ms of latency compared to routing through North America. This latency difference can be critical for real-time AI applications.
Frequently Asked Questions
Is India a good option for cheap GPU compute?
Yes, Indian regions (Mumbai, Hyderabad) often offer GPU pricing close to North American rates, making them one of the most cost-effective options in Asia Pacific. Availability is improving but still narrower than US regions.
View Individual Regions
North America is the largest and most liquid cloud GPU market, with the deepest availability across all accelerator types. The US hosts the majority of global AI compute capacity.
Asia Pacific is a rapidly growing GPU market spanning East Asia, Southeast Asia, and South Asia. Pricing varies significantly across sub-regions.
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