Google TurboQuant: 6x KV Cache Compression Changes AI Inference Economics
At ICLR 2026, Google Research published TurboQuant: a two-stage compression algorithm that shrinks the KV cache by 6x, quantizes keys to 3 bits, and delivers an 8x attention speedup on H100 GPUs — all with zero accuracy loss and no model retraining. Here’s what it means for every developer running LLMs. Continue reading the full article on WowHow → Originally published at https://wowhow.cloud/blogs/google-turboquant-kv-cache-compression-llm-inference-2026