KV sharing and compressed attention now power models like Gemma 4 and DeepSeek V4. These techniques reduce the memory overhead required to process massive prompts. By optimizing how keys and values are stored, developers lower inference costs. This shift makes extremely long-context windows computationally viable for a broader range of enterprise applications.