One post tagged with "edge-ai"

In under two years, on-device language models went from research curiosity to mainstream product feature. Smartphones can now run language models with up to 47 billion parameters. Flagship NPUs have crossed the 100 TOPS threshold. Multimodal models process text, images, audio, and video without cloud connectivity. And the first frameworks enabling actual on-device fine-tuning have arrived.

This guide covers the full arc from early 2025 through February 2026: optimization techniques, hardware capabilities, model releases, inference frameworks, performance benchmarks, commercial deployments, and the emerging frontier of on-device training. It is the most comprehensive single resource on mobile LLM inference available today.