Major AI corporations have sharply increased their spending on lobbying in the US to influence policies regarding the construction and power supply of data centers, as well as rules for disclosing model parameters.
Google Research and Google Cloud have introduced linear elastic caching, a method that dynamically adjusts cache size to minimize total cost. By framing page eviction as a ski rental problem and using a lightweight machine learning model, the approach reduced memory use by up to 30% in Spanner production servers with only a 0.5% increase in I/O costs.
Google/DeepMind