The boom in data center construction is taking up much of the supply of high-tech components, especially processor and memory ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

Forbes contributors publish independent expert analyses and insights. Dave Altavilla is a Tech Analyst covering chips, compute and AI. Electronic Design Automation leader, Cadence Design Systems is ...

There’s a giant question hanging over the tech industry: How long will its massive investments in AI infrastructure really last? Tech giants are shelling out hundreds of billions of dollars on ...

Integration of Google’s Gemini models with Cadence ChipStack AI Super Agent accelerates next-generation, agent-driven design automation Cadence, an industry leader in AI-driven computational software ...

Alibaba has unveiled its in-house high-end AI processor, Zhenwu 810E, advancing its strategy to vertically integrate AI chips, cloud infrastructure, and large language models. Developed by T-Head ...

Google said this week that its research on a new compression method could reduce the amount of memory required to run large language models by six times. SK Hynix, Samsung and Micron shares fell as ...

Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...

As LLMs hit the limits of scale and cost, specialized SLMs are emerging as the faster, cheaper, and more private workhorse ...