AI Architecture Compaction 2026: Edge Inference Shift
AI Architecture Compaction 2026: The Shift Toward Efficient Edge Inference ⚡ TL;DR Model compaction (Pruning + 4-bit Quantization) is now mandatory for mobile/edge AI deployments in 2026. NPU-aware quantization delivers up to 4x latency reduction with less than 1% accuracy degradation. The industry is moving from “massive-scale” to “optimized-utility” architectures for real-time local processing. Technical … Read more