Sandisk stock fell ~7% after Google TurboQuant, but compression applies only to KV cache, not total storage demand. Learn why SNDK stock is upgraded to strong buy.

Sandisk Corp.’s NAND thesis stays strong. Learn why the SNDK stock dip may be headline-driven and why it could retest highs.

Stock prices for the big three memory makers have already slid.

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...

That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way less data center ...

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

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” [ ...

Sandisk (NASDAQ:SNDK) stock is down 8% in Thursday trading, with shares falling to around $623. Meanwhile, Micron Technology ...

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

Abstract: This article considers constraint-coupled distributed resource allocation problems (DRAPs), where each agent holds a private cost function and obtains the solution via only local ...

Building a perfect typeahead engine is notoriously difficult. During the development of this library, we evaluated and discarded several standard approaches because they fundamentally misalign with ...

Abstract: This paper presents a novel approach for partitioning database sessions into groups using the quantum MaxCut problem solved by the Quantum Approximate Optimization Algorithm (QAOA). Each ...