KV sharing and compressed attention now power Gemma 4 and DeepSeek V4 to reduce memory overhead. These architectural shifts minimize the computational cost of processing massive token windows. Developers can now deploy long-context models on tighter hardware budgets. This trend prioritizes inference efficiency over raw parameter growth.