What Google's TurboQuant Does and Why It Actually Matters

The numbers are absurd. For one user running a single Llama-3.1-8B model at 128,000 tokens of context, the KV cache alone chews up 16 gigabytes of VRAM. On a GPU that might have 24GB total. That leaves almost nothing for the actual model weights. This is not a hypothetical problem. This is what running long documents through an AI model looks like... Weiterlesen: What Google's TurboQuant Does and Why It Actually Matters