Processing the data for a database search, analytics, or AI functionality requires a server-class processor that has its own memory resources and the ability to run applications in a higher-level ...

Their ability to host an in-memory model of a real-world system, track changes as they occur, and analyze the model in real time both simplifies this task and delivers the performance that’s needed.

Samsung extends it Processing-in-Memory (PIM) technology from HBM to DIMMS and LPDDR5. Pliops computational storage and flash management device will provide lower infrastructure costs for big data ...

Open-source big-data platform Hadoop excels at batch-mode processing at scale but it was never designed for real-time analytics. ScaleOut Software has middleware that it thinks addresses the issue.

With real-time analytics, data processing is revolutionized as data can be used and instantly analyzed as soon as it is generated. ... In-Memory vs. Traditional Database.

While processor speeds and memory storage capacities have surged in recent decades, overall computer performance remains ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Hazelcast is updating its namesake real-time data processing platform to version 5.4, with a series of improvements designed to help improve operational and artificial intelligence (AI) workloads.

Real-time processing has caught on quickly, but real-time analytics has been slower to gain traction, said Li Kang, the company’s vice president of strategy. ... memory and storage.

Traditional cloud computing faces various challenges when processing large amounts of data in real time. “Edge” computing is a promising alternative and can benefit from devices known ...