Google's TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Google's TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x, enabling models like GPT-4 to run on consumer GPUs with 24GB VRAM. This breakthrough achieves 98% of original accuracy while cutting costs by 70% compared to existing quantization methods. TurboQuant is 2x more efficient than the average state-of-the-art technique, making it cheaper than the typical rival solution for deploying large models in production.