Google AI breakthrough means chatbots use six times less memory during conversations without compromising performance
Google has developed a new AI compression technique called TurboQuant that reduces the working memory required by chatbots by up to six times without affecting performance. The method uses real-time quantization to compress data in the key value (KV) cache, allowing AI models to operate more efficiently. This advancement could lower hardware demands and improve scalability for large AI systems handling millions of requests.
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Technology Artificial Intelligence Google AI breakthrough means chatbots use six times less memory during conversations without compromising performance A compression algorithm like TurboQuant turns the data in the AI's working memory into a smaller, more efficient form. By Fiona Jackson published 30 April 2026 in News When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. TurboQuant transforms data in working memory into a compressed version that the AI model can then use just like the original data, but using much less memory.
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