TurboQuant is a compression algorithm introduced by Google Research (Zandieh et al.) at ICLR 2026 that solves the primary memory bottleneck in large language model inference: the key-value (KV) cache.

Embeddings, or the numerical representation of heterogeneous content, are the basis of vector search workloads. However, the sizes of embeddings make them hard to scale and expensive to process.

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Unite.AI is committed to rigorous editorial standards. We may receive compensation when you click on links to products we review. Please view our affiliate disclosure. Finding the right database for ...

Distributed optimization underpins key functionalities of numerous engineered systems such as smart grids, intelligent transportation, and smart cities. It is also reshaping the landscape of machine ...