After spending hundreds of billions of dollars in recent years on chips for training their AI models, companies such as ...

New TorchPass solution addresses a multi-million dollar challenge with AI infrastructure; uses Live GPU Migration to keep ...

Long and complex hiring cycles As compared to software hiring, semiconductor recruitment cannot rely on rapid technical ...

BARCELONA, Spain, March 11, 2026 (EZ Newswire) -- iFLYTEK, a leading global AI company, showcased its full-stack AI hardware ...

By advancing more integrated tooling on the Arm compute platform, embedUR is reducing complexity, accelerating innovation, ...

These two semiconductor giants show no signs of slowing down as key customers accelerate their AI spending.

The MTIA processors are the tech giant’s latest attempt to build its own AI hardware, even as it continues spending billions on gear from industry leaders like Nvidia.

The annual show for the embedded electronics supply chain showcased many innovations in edge AI and connected, intelligent systems that can perceive and act in real time.

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

Nebius Group N.V. lands a $2B Nvidia deal to scale hyperscale AI cloud with Rubin/Vera/BlueField. Click for this NBIS stock update.

Nvidia's NemoClaw launch at GTC creates permanent chip demand—AI agents require far more compute than chatbots. Position now.

Nvidia (NasdaqGS:NVDA) agreed a multi-year Vera Rubin platform deployment and investment with Thinking Machines Lab, targeting more than one gigawatt of next generation AI hardware for model training ...