What Google's TurboQuant can and can't do for AI's spiraling cost ...

A paper from Google could make local LLMs even easier to run.

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

Turbo Quant Doesn't Impact DIMM Count If compression doesn't cross a DIMM boundary, it has zero hardware impact The Market Overreaction Google's TurboQuant has triggered a sharp reaction across ...

How NVIDIA's AI Data Platform and STX reference architecture are reshaping enterprise storage competition, vendor ...

With SRAM failing to scale in recent process nodes, the industry must assess its impact on all forms of computing. There are ...

Counterfeit branded SSDs are no longer always recognizable at first glance. Scammers are increasingly orienting their fakes ...

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...

Google introduced an algorithm that it says improves memory usage in AI models. Whether that will actually eat into business for Micron and rivals is unclear. Micron's stock was down about 3% on ...

Micron is strong as structural shifts in memory reduce cyclicality and support long-term demand visibility. See why I reiterate my Strong Buy rating of MU stock.

Gemini just made it super easy for you to switch from ChatGPT - here's how ...

Any software that claims to be independent from hardware is inefficient, bloated software. The time for such software development is over.