memory-optimization

Google has unveiled TurboQuant, a KV cache quantization technology that claims to reduce memory consumption during AI inference by up to 6x by compressing data from 16-bit precision to as low as 2.5 bits. While the compression technique delivers meaningful efficiency gains for inference providers, it is unlikely to resolve the DRAM shortage that has driven memory prices to record highs, as expanding context windows offset memory savings.