Direct answer

What are the biggest hidden challenges with on-device AI deployment for continuous inference?

The biggest hidden challenges are battery drain and thermal management. Continuous inference pushes the NPU hard, causing rapid power consumption and heat buildup. This triggers the device's thermal protection systems to throttle performance, which paradoxically increases latency and creates unpredictable user experience.

20 Mar 2026
mobile_app_development

Short answer

The biggest hidden challenges are battery drain and thermal management. Continuous inference pushes the NPU hard, causing rapid power consumption and heat buildup. This triggers the device's thermal protection systems to throttle performance, which paradoxically increases latency and creates unpredictable user experience.

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What are the biggest hidden challenges with on-device AI deployment for continuous inference?

The biggest hidden challenges are battery drain and thermal management. Continuous inference pushes the NPU hard, causing rapid power consumption and heat buildup. This triggers the device's thermal protection systems to throttle performance, which paradoxically increases latency and creates unpredictable user experience.

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