2026年3月，谷歌研究院发布TurboQuant压缩算法技术，迅速在存储与AI基础设施领域引发热议。该算法能够压缩KV缓存，实现内存占用降低6倍、推理速度提升8倍的潜力。这一技术突破的背后，折射出大模型推理时代最核心的硬件瓶颈：KV Cache正成为制约AI部署规模的 ...

SwiftKV optimizations developed and integrated into vLLM can improve LLM inference throughput by up to 50%, the company said. Cloud-based data warehouse company Snowflake has open-sourced a new ...