Scientists at the University of Wisconsin (Madison, WI) have created an atomic-scale memory using atoms rather than cells of silicon to represent data. This feat represents a first step toward a ...

Even as AI progress is surprising one and all, companies are coming up with ever more improvements which could accelerate things even ...

Inference is reshaping data center architecture, introducing a new and less forgiving set of network requirements.

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Karthik Sj, General Manager, AI at LogicMonitor. Built and scaled multiple 0-1 AI products across public, PE and VC backed companies. Consider this scenario: Three times in one month, the same ...

Three AI data center scaling strategies are scale-up, scale-out, and scale-across. Scale-up is within a rack; scale-out is between racks; scale-across is between data centers. Each of the three uses a ...