Breaking Free from Memory Constraints: Google's TurboQuant Transforms RAG Systems

Google's TurboQuant addresses the fundamental memory bottleneck that has constrained production RAG systems, not compute limitations. By reducing KV cache memory by 6x while maintaining zero accuracy loss and delivering 8x speedup, it fundamentally reshapes the economics of local LLM deployments, making cost-effective, privacy-preserving systems practical at enterprise scale.