# TurboQuant: Google's 6x KV Cache Compression and the Quiet Economics of Long Context AI - June 14, 2026

Page: https://stenobird.com/podcast/dx-today-no-hype-podcast-news-about-ai-dx-6434212/turboquant-google-s-6x-kv-cache-compression-and-the-quiet-economics-of-long-context-ai-june-14-2026
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Podcast: [DX Today | No-Hype Podcast & News About AI & DX](https://stenobird.com/podcast/dx-today-no-hype-podcast-news-about-ai-dx-6434212)
Published: 2026-06-14T10:09:38+00:00
Episode link: https://www.buzzsprout.com/2207817/episodes/19342899-turboquant-google-s-6x-kv-cache-compression-and-the-quiet-economics-of-long-context-ai-june-14-2026.mp3
Audio file: https://www.buzzsprout.com/2207817/episodes/19342899-turboquant-google-s-6x-kv-cache-compression-and-the-quiet-economics-of-long-context-ai-june-14-2026.mp3
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Duration seconds: 767

## Resource

Send us Fan Mail TurboQuant: Google's 6x KV Cache Compression and the Quiet Economics of Long Context AI Google Research's TurboQuant compresses the LLM key value cache to roughly three bits per coordinate with near zero accuracy loss, delivering at least six times less memory and up to eight times faster attention on NVIDIA H100 GPUs. We unpack how its two stage design pairs a training free random rotation with a one bit correction step, why a 70B model's 128K context cache shrinks from abo...

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