Technical deep dives, tutorials, and analysis on KV cache quantization
A deep dive into the mathematical intuition behind TurboQuant's data-oblivious approach and why it outperforms PQ, KIVI, and INT8.
We built an interactive calculator that shows exactly how much memory you save with TurboQuant for popular models like Llama-3-70B.
Understanding the theoretical lower bound on quantization distortion and why TurboQuant gets within 1.45x of it.
How to enable KV cache quantization in your vLLM deployment with just a few lines of code.
As context windows grow to 128K+, the KV cache becomes the dominant memory bottleneck. Here's why quantization is the answer.
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