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

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