Nvidia RTX Spark is here and I'm benchmarking it live! Follow along for the latest CPU, GPU, AI and gaming results, and tell ...

For years, AI data centers have almost exclusively relied on GPUs for all AI processing and learning. But as tech companies ...

Forbes contributors publish independent expert analyses and insights. Marco Chiappetta is a technologist who covers semiconductors and AI. This voice experience is generated by AI. Learn more. This ...

Compare six business laptops for AI workloads and see which device supports each role, from office assistance to local AI development. Image: kaitlynbaker/Unsplash Business laptops for AI workloads ...

For a while, it was thought that generic central processing units had little role to play in the artificial intelligence revolution, but Nvidia Corp. begs to differ. At its GTC 2026 developer ...

Agentic artificial intelligence (AI) has come to consumers. Anthropic may have been one of the first AI labs to develop ...

Agentic workloads increase CPU demand, while reasoning models, MoE architectures, and reservoir computing fuel AI acceleration.

One of the most critical decisions when deploying AI workloads is whether to power them with a graphics processing unit or a central processing unit. The choice has implications not just for workload ...

Meta’s Muse became the No. 1 free iPhone app in the United States within 10 days, providing an early consumer-scale example of how AI agents can increase demand for cloud CPUs as well as GPUs. One ...

The personal agent boom is lifting the fortunes of AMD and Intel, which have outperformed their megacap tech peers over the ...

Semiconductor companies are positioned for long-term growth as artificial intelligence (AI) hyperscalers continue to plow ...