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

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

For the past few years, AI infrastructure has focused on compute above all other metrics. More accelerators, larger clusters ...

This is really where TurboQuant's innovations lie. Google claims that it can achieve quality similar to BF16 using just 3.5 ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Modern multicore systems demand sophisticated strategies to manage shared cache resources. As multiple cores execute diverse workloads concurrently, cache interference can lead to significant ...

Lightbit Labs, ScaleFlux, FarmGPU, Seagate, Western Digital, Vast, Everpure, Penguin Solutions, Hammerspace and HPE announced ...

To survive in today's ultra-competitive business environment, companies have to be adaptable and be able to move quickly with the ever-changing market conditions. It's not enough to simply have a good ...

Memory stocks fell Wednesday despite broader technology sector strength, with shares dropping after Google unveiled ...

A game-changing AI efficiency breakthrough from Google has rattled Western Digital’s growth narrative. Is WDC a buy-the-dip ...

Those memory numbers don't mean what you think.