Model6d ago
New LLM Architectures Slash Long-Context Costs
KV sharing and compressed attention now drive efficiency in models like Gemma 4 and DeepSeek V4. These architectural shifts minimize memory overhead during long-context processing. This reduces the hardware requirements for high-token inference. Practitioners can now deploy larger context windows on consumer-grade GPUs without sacrificing significant performance.