DIGITIMES

In-depth: Google TurboQuant cuts LLM memory 6x, resets AI inference cost curve

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x ...

Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...
Decrypt

Google Shrinks AI Memory With No Accuracy Loss—But There's a Catch

The technique reduces the memory required to run large language models as context windows grow, a key constraint on AI ...

Micron stock's rally looked unstoppable — until Google's TurboQuant hit

Memory stocks such as Micron Technology Inc. MU and Sandisk Corp. SDNK were the consensus AI trade of 2026 — the most direct ...
WinBuzzer

Google’s TurboQuant Algorithm Slashes LLM Memory Use by 6x

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

The Artificial Intelligence (AI) Trade Is Splitting in Two. Here's How to Pick the Right Side in 2026.

Investors should know the difference between AI training and AI inference.
Phys.org

Inference of Bayesian networks made fast and easy using an extended depth-first search algorithm

A Bayesian network is a directed acyclic graph (DAG) or a probabilistic graphical model used by statisticians. Vertices of this model represent different variables. Any connections between variables ...
The Economist

The next phase of artificial intelligence may require very different processors

Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...