Data storage and data processing have always been separate functions, but what if they could be unified and achieve much better performance? That’s the promise of computational storage. Although media ...

Graphics processing units have become much more prominent in recent years because of their ability to perform the complex calculations on large data sets that underpin modern artificial intelligence ...

In today’s increasingly AI-assisted, software-defined IT world, it’s understandable how federal enterprise leaders might overlook some of the revolutionary developments reshaping the hardware ...

Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems. Working with big data can be ...

Fig. 1: Created by ChatGPT from a text prompt. The data center processor market has seen two major tectonic shifts in the last decade. It used to be that all data center compute was x86, and well more ...

Existing processors in PCs, smartphones and other devices can be supercharged for enormous power and efficiency gains using a new parallel processing software framework designed to eliminate ...

NVDA's Vera CPU push targets agentic AI and AI factories as its platform strategy aims to carve out space in a market led by x86 giants.

Intel (INTC) and Advanced Micro Devices (AMD) shares are extending gains on July 9 after the latter’s chief technology ...

Multi-core processors theoretically can run many threads of code in parallel, but some categories of operation currently bog down attempts to raise overall performance by parallelizing computing. Is ...

Computer vision (CV) and image processing are two closely related fields that utilize techniques from artificial intelligence (AI) and pattern recognition to derive meaningful information from images, ...