KV cache compression on your own hardware: what works, what doesn't, and when to care.

Google's TurboQuant paper compresses KV cache to 3 bits per coordinate — 6x memory reduction, 8x faster inference, zero accuracy loss, no retraining required. This deep-dive walks through what it actually is, the three-layer compression stack, real benchmark results on a consumer RTX 4090, community implementations available today, the Hugging Face ecosystem integration, and a CTO decision framework for when this matters to your org. Companion to the LinkedIn article of the same name.

25 sources cited. Full source list in show notes.

AI Disclosure: This episode was produced with AI assistance. Research synthesis and script writing used Claude (Anthropic) under human editorial direction. Audio narration by Microsoft Edge TTS (en-US-AndrewNeural voice).