In-memory computing is enabling the bank to develop a web-scale architecture using a 2,000-node in-memory data grid that can handle up to 1.5PB of data and the required transaction volume.

Achieving continuous learning with in-memory computing. Today’s in-memory computing platforms are deployed on a cluster of servers that can be on-premises, in the cloud, or in a hybrid environment.

The open source in-memory data fabric technology is distributed under the Apache 2.0 license. GridGain shifted to an open source model earlier this year through an Apache 2.0 license. “We wanted to ...

Cheaper memory chips and better software are helping to push in-memory computing out of its niche roles in a handful of sectors. Written by Toby Wolpe, Contributor April 4, 2013 at 12:00 a.m. PT ...

This is the first entry in an insideHPC series that delves into in-memory computing and the designs, hardware and software behind it. This series, compiled in a complete Guide available here, also ...

As in-memory computing (IMC) gains momentum across a wide range of applications, from fintech and ecommerce to telecommunications and IoT, many companies are looking to IMC solutions to help them ...

Quantum computing and communication may use special “quantum memory” for certain applications. The biggest impact on the conventional storage and memory industry may be on new device ...

Part II is published: The Nitty Gritty of In-Memory Computing can be found here. Not really very long ago the terms In-Memory Computing (IMC) and In-Memory Database (IMDB) seemed to start showing up ...

For the last several decades, gains in computing performance have come by processing larger volumes of data more quickly and with superior precision. Memory and storage space are measured in gigabytes ...