TurboQuant - Unleashing affordable AI for all

On A100s, TurboQuant's biggest practical value is unlocking 64K–128K context on hardware that previously couldn't sustain it, and multiplying effective batch capacity by roughly 4×. The quality story at 3.5-bit is genuinely strong. The main caveat is that the ecosystem is still maturing — community forks work, but Google's official optimized release is expected Q2 2026, and A100-specific kernel tuning isn't as far along as H100.

https://research.google/blog/turboquant-redefining-ai-efficiency-with-extreme-compression/

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