Model5d ago
New LLM Architectures Slash Long-Context Costs
KV sharing and compressed attention mechanisms now power models like Gemma 4 and DeepSeek V4. These architectural shifts reduce memory overhead during inference. By optimizing how models store key-value pairs, developers can handle longer sequences without linear cost spikes. This makes high-token window processing viable for consumer-grade hardware and enterprise deployments.