Has anyone implemented Google's TurboQuant paper yet?

Reddit r/LocalLLaMA / 3/26/2026

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The post discusses Google’s TurboQuant research claim of 6x KV-cache compression with no reported accuracy loss, along with up to 8x attention speedups on NVIDIA H100 GPUs.
It asks whether anyone in the community has implemented the TurboQuant approach in practice and measured gains beyond the paper’s benchmark results.
The discussion is positioned as a real-world validation question rather than a new release, focusing on deployment experience and performance/quality tradeoffs.

Just read the google recent blog post they're claiming 6x KV cache compression with zero accuracy loss and up to 8x attention speedup on H100s. Presented at ICLR 2026.

Curious if anyone has tried it and what real world gains they got outside of the paper benchmarks.

submitted by /u/SelectionCalm70
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