Model
103d agoNew LLMs Slash Long-Context Memory Costs
KV sharing and compressed attention now drive efficiency in Gemma 4 and DeepSeek V4. These architectural shifts reduce the memory overhead required for massive context windows. Developers gain faster inference speeds and lower VRAM requirements.
The Signal
This trend makes deploying long-document analysis more viable for consumer-grade hardware.