Having dominated the AI accelerator market, NVIDIA is now aiming to expand it to the data center infrastructure acceleration and optimization. Why is Jensen Huang bullish about the DPU market and how ...

The Apache Arrow project is a standard for representing data for in-memory processing. The project is designed to be used internally by other software projects for data analytics. It is not uncommon ...

A breakthrough development in photonic-electronic hardware could significantly boost processing power for AI and machine learning applications. The approach uses multiple radio frequencies to encode ...

Data processing units (DPUs) have emerged as an important deployment option for datacentres that run heavy data-centric workloads such as artificial intelligence (AI) and analytics processing, and to ...

Advances in computing tend to focus on software: the flashy apps and programs that can track the health of people and ecosystems, analyse big data and beat human champions at Go. Meanwhile, efforts to ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Driven by relentless growth in big data storage and analytics, cloud-based AI use cases and ...

Lawrence Livermore National Laboratory has long been one of the world’s largest consumers of supercomputing capacity. With computing power of more than 200 petaflops, or 200 billion floating-point ...

Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image ...

Rapid AI adoption is fueling demand for networking and connectivity hardware. CLS and GLW each offer a distinct growth story.

Artistic rendering of a photonic chip with both light and RF frequency encoding data. Image credit: B.Dong / University of Oxford. A breakthrough development in photonic-electronic hardware could ...