Deep dive into KV cache memory management for on-device LLM inference — covering how quantizing key-value attention caches from FP16 to INT4 with group-wise scaling reduces memory footprint by 75%, implementing sliding window eviction policies that…
From Dev.to - webdev: How to Deploy Llama 3.2 405B with Quantization on a $60/Month DigitalOcean GPU Droplet: Enterprise Reasoning Without the $20K/Month API Bill
