Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...

Google's TurboQuant algorithm is going to be a boon for the memory industry, setting these three stocks up for outstanding ...

While the ceiling is indeed higher when it comes to watching high-quality content in detailed 4K, there is also more room for error. That's why your Blu-rays and even your DVDs can look a lot better ...

Google’s TurboQuant is making waves in the AI hardware sector by addressing long-standing challenges in memory usage and processing efficiency. Developed with components like the Quantized ...

Intel and Nvidia showed off their respective AI-powered texture-compression technologies over the weekend, demonstrating impressive reductions in VRAM use while maintaining texture quality, or even ...

Paying for 4k and tools for Netflix doesn't guarantee a great stream, unfortunately, thanks to some behind-the-scenes ways the company saves money.

One analyst says the dramatic selloffs in memory stocks means investors can score bargains.

Western Digital (NASDAQ:WDC) received a bullish analyst upgrade Tuesday morning when Bernstein upgraded the stock to Outperform from Market Perform and doubled its price target to $340, up from $170.

Google developed a new compression algorithm that will reduce the memory needed for AI models. If this breakthrough performs as advertised, it could drastically reduce the amount of memory chips ...

Micron Technology (MU) shares fell to $339 Monday as fears over Alphabet’s (GOOGL) TurboQuant AI memory-compression algorithm raised concerns about long-term demand for high-bandwidth memory across ...

Google says a new compression algorithm, called TurboQuant, can compress and search massive AI data sets with near-zero indexing time, potentially removing one of the biggest speed limits in modern ...

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x while boosting performance, targeting one of AI's most persistent ...