The ongoing advancement of artificial intelligence technology has brought computing power and storage requirements into sharp focus for the industry. Alphabet Inc. recently introduced a series of new algorithms designed to significantly reduce the memory footprint required for operating large language models and vector search engines, a move that has triggered a collective decline in share prices across the storage industry chain. The core technologies launched include TurboQuant, a quantized Johnson-Lindenstrauss transform, and PolarQuant. TurboQuant addresses the memory burden of high-dimensional data processing by optimizing compression efficiency during vector quantization. The Johnson-Lindenstrauss transform employs mathematical dimensionality reduction to drastically shrink data size while preserving data relationships, achieving efficient representation with "zero additional memory overhead." PolarQuant utilizes polar coordinate mapping to project data into a fixed structure, thereby bypassing traditional data normalization steps and further reducing resource consumption.

According to statements from Alphabet research scientist Amir Zandieh and company Vice President and Senior Research Scientist Vahab Mirrokni, the importance of underlying vector quantization technology will continue to grow as AI sees widespread application in areas like large language models and semantic search. These algorithms are expected to fundamentally improve the operational efficiency of AI systems and reduce reliance on high-end storage hardware.

Influenced by this news, shares of companies related to memory and hard drives experienced broad declines during Wednesday's early trading. The stock price of Micron Technology fell approximately 4% at one point, while Western Digital dropped around 4.4%. Seagate Technology saw a decline of up to 5.6%, and SanDisk's stock fell as much as 8%. Market concerns suggest that a decrease in AI models' dependency on memory could potentially weaken long-term demand for memory chips and hard drive products. Concurrently, SanDisk announced it has entered into a private placement subscription agreement with semiconductor company Nanya Technology for an equity investment, indicating that industry consolidation and strategic positioning continue to accelerate.

Alphabet stated that the findings related to TurboQuant will be formally presented at the International Conference on Learning Representations in Rio de Janeiro this April. Analysts believe that if these technologies gain widespread adoption, they could profoundly impact the demand structure for AI hardware, potentially reshaping the growth trajectory of the storage industry.