3/27/2026
By John Jean, Research Analyst

Earlier this week, Alphabet (GOOG/L) unveiled TurboQuant. This is a new algorithm suite from Google Research which dramatically compresses AI memory usage; and potentially reshaping the cost structure of running large language models at scale.

TurboQuant targets what's known as the KV (key-value) cache - the temporary working memory, an AI model builds, as it processes a conversation or document. As context windows have expanded to handle longer inputs with this cache becoming the single biggest memory bottleneck in AI inference, often consuming more GPU memory than the model itself at higher context lengths.

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John Jean
Wall Street Strategies