On-device AI: How local processing cuts costs and boosts security

The shift to on-device AI processing addresses key challenges for consumers and enterprises. Cloud-based AI models face high latency, network congestion, privacy concerns, and rising costs as user bases grow, limiting responsive, secure applications.

This handbook examines how embedding AI accelerators in devices like smartphones and PCs transforms experiences and adds value. Learn how on-device AI:

· Reduces latency for mission-critical apps while cutting cloud costs and energy use
· Enhances security by keeping sensitive data local
· Revitalizes smartphone and PC markets with productivity-focused AI and clear ROI

Read the handbook to explore the future of on-device AI.