Tether successfully integrated Google’s TurboQuant into the inference engine of its local AI framework, QVAC. It is the ...
Transformations are the key to such codes, and they rely on math that predates computing as we know it by centuries. There ...
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.
Joins LZ4/Snappy Decompressor for a fast, efficient, end-to-end accelerated lossless data compression solution supporting both algorithms. Woodcliff Lake, New Jersey — June 27, 2025 — Semiconductor ...
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