TurboQuant: Building a Sub-Byte KV Cache Quantizer from Paper to Production

https://demo.aitherium.com/blog/turboquant-sub-byte-kv-cache-from-paper-to-production

Comments

AurornisMar 27, 2026, 8:42 PM
This is a very long article full of LLM generation tells but not a lot of useful information. It makes you accept an agreement for "Aitherium OS" before you can even read it.

Don't waste your time.

There are dozens of AI-coded TurboQuant implementations with more useful information than this. Starting with the llama.cpp discussion can give some better info than this blog post: https://github.com/ggml-org/llama.cpp/discussions/20969