Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...
Tom's Hardware on MSN
Google's TurboQuant reduces AI LLM cache memory capacity requirements by at least six times
The algorithm achieves up to an eight-times performance boost over unquantized keys on Nvidia H100 GPUs.
Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...
Memory stocks fell Wednesday despite broader technology sector strength, with shares dropping after Google unveiled ...
Part 2 looks at the tradeoffs between program and data cache optimizations, and shows how to choose the best compromise. As we saw in the first two parts of this series, cache optimization is often ...
SIEVE is a new approach to web caching that's simpler and more effective than today's state-of-the-art algorithms, its creators claim — and big tech companies are taking notice. When you purchase ...
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