Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...

GridGain’s in-memory MapReduce effectively parallelizes the processing of in-memory data stored in GGFS. It eliminates the overhead associated with job tracker and task trackers in a standard Hadoop ...

Technion Researchers have developed a software package that enables computers to perform processing operations directly in memory, bypassing the CPU. This is a significant step toward developing ...

This means IMDBs are unable to scale horizontally and as a result, most existing SQL databases (disk or memory based) are based on vertically scalable Symmetrical Processing architecture. But with ...

A new computing era arrives with the breakthrough in how computers can sort information. This vital function, at the heart of everything from searches on the internet to artificial intelligence, has ...

Artificial intelligence (AI) is expanding rapidly to the edge. This generalization conceals many more specific advances—many kinds of applications, with different processing and memory requirements, ...

Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...

Discover the groundbreaking concepts behind "Attention Is All You Need," the 2017 Google paper that introduced the ...

Exponential increases in data and a mix of performance requirements are driving a top-to-bottom rethinking of what works best ...