Model
95d agoNew Architectures Slash Long-Context Costs
KV sharing and compressed attention now drive efficiency in models like Gemma 4 and DeepSeek V4. These techniques reduce the memory overhead required to process massive prompts. This shift lowers inference costs for developers.
The Signal
It enables longer context windows without requiring proportional increases in expensive H100 GPU memory.