A recently published open-source project that claims to revolutionize AI memory architectures has a highly unexpected – and ...

It doesn't take a genius to figure out that making memory for AI datacenters is way more profitable than making it for your ...

Following Google's release of TurboQuant, shares of Micron Technology have lost their momentum.

A new publication from Opto-Electronic Technology; DOI   10.29026/oet.2026.260004, discusses advances and perspectives on ...

One beneficiary will likely be Arista Networks ( ANET +1.52%). The company supplies innovative Ethernet switches, routers, and other networking hardware crucial to data center operations. Arista was ...

Micron Technology's memory chips remain in high demand, and despite some shifts in the tech sector environment, that's ...

Alphabet's new compression algorithm could give the company another big cost advantage. The company's custom chips already give it an edge in this area. Alphabet's latest AI announcement, meanwhile, ...

We have seen the future of AI via Large Language Models. And it's smaller than you think. That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way ...

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.” ...

Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...