Google’s TurboQuant Algorithm Reduces AI Memory Usage
Google’s TurboQuant algorithm, released by Alphabet Inc. (NASDAQ: GOOG, GOOGL), has achieved a more than six-fold reduction in memory usage for large language model inference. This advancement may significantly impact memory chipmakers, as demand for memory could decrease amidst rising efficiency in AI models.
Following this announcement, shares of major memory chip manufacturers, including Micron Technology (NASDAQ: MU), SK Hynix, and Samsung, experienced declines due to concerns over future memory demand. Analysts suggest that the long-term impact on the memory chip market may not be as severe as feared, as the TurboQuant optimization may enable improvements in on-device AI capabilities, particularly for consumer devices like smartphones and laptops.
This breakthrough could benefit companies such as Apple Inc. (NASDAQ: AAPL), which is expected to enhance its Siri functionalities through the integration of Google’s technology. With nearly 1 billion iPhones projected to be in use by the end of 2025 that cannot run advanced Apple Intelligence, the potential for upgraded user experiences may drive increased iPhone sales in the coming years.
