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LaunchAWS Machine Learning Blog6 November 2026

Amazon's cloud lets several AI services share one graphics chip, so less paid capacity sits idle

Why it matters

Teams running many small AI models on AWS can fit more of them on each GPU instance, which cuts idle capacity you pay for.

Ask your team

How many of our hosted models use only a fraction of their GPU, and what would sharing save?

What happened

Amazon's SageMaker lets you split one physical GPU into several slices, so a single can serve more than one . Until now, the smallest unit you could request was a whole GPU, so an eight-GPU instance topped out at eight models whatever each one needed.

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