Gemma 4 QAT 모델: 모바일과 노트북 효율성을 위한 압축 최적화

Google's Gemma 4 QAT release brings powerful AI models to consumer devices with under 1GB memory footprint while maintaining accuracy superior to standard compression methods. The combination of quantization-aware training and mobile-specific optimizations enables private, low-latency AI inference directly on phones and notebooks. This democratization of edge AI reduces cloud dependency and opens new possibilities for real-time, privacy-preserving applications on personal hardware.