As AI workloads move from training to real-world inference, Arrcus CEO says, network fabrics must evolve to keep up with the demands.

Image courtesy by QUE.com Artificial intelligence is moving from flashy demos to real-world deployment—and the engine behind ...

Training compute builds AI models. Inference compute runs them — repeatedly, at global scale, serving millions of users billions of times daily.

ATF's 2026 interim rule narrows "unlawful user" definition to require regular, ongoing drug use for firearm bans, seeks ...

As AI agents evolve into autonomous digital teammates, enterprises must rethink infrastructure, orchestration, and governance to run agentic workloads at scale.

The question is no longer whether robots can function in unstructured commercial spaces; rather, it is whether companies know ...

Nvidia is developing a new inference processor aimed at speeding AI responses for OpenAI and other customers, the WSJ reported.

The first time my team shipped an agent into a real SaaS workflow, the product demo looked perfect. The production bill did not. A small percentage of sessions hit messy edge cases, and our agent ...

We often mistake the "aha!" moment of a clear explanation for actual mastery. The feeling of learning can be a psychological illusion, but we can spot the difference.

IT consultant and services provider Accenture has agreed to buy Speedtest and Downdetector owner Ookla from Ziff Davis for $1 ...

Power and thermal become primary design considerations, not just optimizations. Hardware architectures need to be developed from the ground up. Hardware/software/model co-development is essential.

While F.A Hayek, Satoshi and AI may seem like three unrelated topics, the next few minutes will reveal exactly how critical ...