GOOGLE CRACKS THE AI MEMORY WALL: TURBOQUANT DELIVERS 6X KV CACHE COMPRESSION WITH ZERO ACCURACY LOSS Google’s TurboQuant, presented at ICLR 2026, compresses the KV cache bottleneck in large language models down to 3-4 bits with zero retraining needed — cutting memory costs by 50%+ while speeding up inference 8x. The breakthrough could accelerate on-device AI and dramatically slash data center costs for every frontier lab. Keywords: TurboQuant Google, KV cache compression, LLM inference optimization, ICLR 2026 AI research