[Opinion: Storage sector may continue its downward trend next week, Google's TurboQuant algorithm reduces memory demand, impact gradually emerging] BlockBeats News, June 7 — Market researcher Financelot stated that the open-source vector indexing library TurboVec, announced last month, is disrupting the high-memory-demand market, with its impact gradually becoming evident. Friday's sharp decline in memory stocks has been attributed to this. Financelot remarked, 'Goodbye Micron, SanDisk, Samsung, SK Hynix,' expressing a bearish outlook on the storage sector's performance next week. However, community opinions suggest that TurboVec's impact on the memory sector is limited, noting that every time a new memory optimization is announced, someone declares the entire semiconductor industry dead. In March this year, Google Research proposed the TurboQuant quantization algorithm, which was implemented as the open-source vector indexing library TurboVec by independent developer Ryan Codrai in late May. This tool can significantly reduce the memory requirements of vector databases (a typical example: 10 million vectors compressed from 31GB in float32 to about 4GB, reducing memory usage by approximately 87%, with savings of up to 16x depending on dimensions and bit width). It supports fully offline operation, runs efficiently on standard Macs, and achieves search speeds on ARM platforms that are 12–20% faster than FAISS IndexPQ/FastScan, all while being completely open-source. It can be integrated with frameworks like LangChain and LlamaIndex. This means developers can efficiently perform local vector searches on standard consumer-grade hardware without relying on expensive GPU clusters or cloud services. [Original link]