While training has been the focus, inference is where AI's value is realized. Training clusters need large amounts of power.

Insights from manufacturers that have already transformed their operations with AI indicate a preference for moving AI inference to the edge using vector stores and ...

Statistics is a branch of math that involves the collection, description, analysis, and inference of conclusions from ...

Is the recent emergence of Chinese AI startup DeepSeek, alongside supply chain issues for NVIDIA’s next-generation GB200 AI ...

Previously little-known Chinese startup DeepSeek has dominated headlines and app charts in recent days thanks to its new AI ...

The rapid rise of data centers has put many power industry demand forecasters on edge. Some predict the power-hungry nature ...

Meta's top AI scientist, Yann LeCun, said there was a "major misunderstanding" about how billions in AI investment will be ...

"Security and privacy are paramount for enterprise AI deployment," continued Lupesko. "By processing all inference requests in U.S.-based data centers with zero data retention, we're ensuring that ...

Competition and geopolitical risks exist, but AMD’s strategic pivot, open-source ROCm, and cost efficiency bolster the ...

Structured Mixed Precision for Efficient Deep Learning Hardware Codesign” was published by Intel. Abstract “In this paper, we ...

Huawei doesn’t detail exactly what kinds of Ascend GPUs it uses for ModelArts Studio, particularly regarding the R1, but AI ...

Microsoft and DeepSeek demonstrate strong AI monetization in Q2 FY25. Find out why MSFT stock stays a Buy with competitive ...