KV sharing and compressed attention mechanisms now define the latest architectures in Gemma 4 and DeepSeek V4. These techniques minimize memory overhead during inference. By reducing the computational footprint of long-context windows, these models lower operational costs. Developers can now deploy larger contexts on tighter hardware budgets without sacrificing performance.