Model8d ago
New 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. This trend makes deploying long-document analysis more viable for consumer-grade hardware.