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What Google's TurboQuant Can and Can't Do for AI's Spiraling Cost

Summary by ZDNet
Google's real-time quantization could be important for running local AI. Here's why.
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The IA went on to demand massive quantities of RAM to work. This search increased the price of memory for historical memories, creating a global shortage. However, a new discovery by Google called TurboQuant...

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With TurboQuant, Google is tackling a very concrete problem: the huge amount of memory needed to turn artificial intelligence. A technical breakthrough that could eventually lighten the bill for everyone.

RAM prices have been rising for months. However, Google has presented a change for AI that drastically reduces the consumption of RAM. This could also affect the market where prices are rising. Some remain skeptical. What has been presented? Google Research recently introduced TurboQuant, a compression algorithm that reduces the storage requirements of large language models (LLMs) while simultaneously increasing the speed and maintaining accurac…

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Thanh Niên broke the news in Viet Nam on Sunday, March 29, 2026.
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