The rapid advancement of artificial intelligence (AI) is driving unprecedented demand for high-performance memory solutions.

We all know AI has a power problem. On the whole, global AI usage already drew as much energy as the entire nation of Cyprus did in 2021. But engineering researchers at the University of Minnesota ...

Until now, researchers have been limited in developing photonic memory for AI processing -- gaining one important attribute like speed while sacrificing another like energy usage. An international ...

(MENAFN- GlobeNewsWire - Nasdaq) Key market opportunities in the in-memory computing sector include growing demand for real-time data analysis and digital transformation across industries, ...

In the last 3-5 years traditional RDBMSs and new crop of simpler NewSQL/NoSQL databases have mastered the in-memory caching and now provide comprehensive caching and even general in-memory ...

The spotlight is on two-dimensional materials in response to the demands of the artificial intelligence (AI) era, which necessitates high computing power, low energy consumption,... Friday 13 January ...

FOSTER CITY, Calif., March 30, 2017 — GridGain Systems, provider of enterprise-grade in-memory computing platform solutions based on Apache Ignite, today announced it has obtained certifications from ...

In-memory computing is comprised of two main categories: In-Memory Databases and In-Memory Data Grids. I’d like to delve into the differences between the two groups. While an In-Memory Database (IMDB) ...

Caching functions as an essential business performance and cost efficiency tool for distributed architectures, far beyond its ...