Nvidia is pushing its AI hardware beyond terrestrial data centers and into orbit, positioning a module called Space-1 for ...

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 ...

While emerging technologies like artificial intelligence and blockchain have been capturing headlines, businesses must also keep an eye on evolving hardware trends. As companies pursue faster, smarter ...

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 ...

“Many modern workloads such as neural network inference and graph processing are fundamentally memory-bound. For such workloads, data movement between memory and CPU cores imposes a significant ...

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 ...

SEATTLE--(BUSINESS WIRE)--Veeam ® Software, the #1 global leader by market share in Data Resilience, today announced the availability of its first fully pre-built, pre-hardened software appliance: the ...

LLVM, the open source compiler framework that powers everything from Mozilla’s Rust language to Apple’s Swift, emerges in yet another significant role: an enabler of code deployment systems that ...

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 ...