Amazon Web Services plans to deploy processors designed by Cerebras inside its data centers, the latest vote of confidence in the startup, which specializes in chips that power artificial-intelligence ...

Every GPU cluster has dead time. Training jobs finish, workloads shift and hardware sits dark while power and cooling costs keep running. For neocloud operators, those empty cycles are lost margin.

Today, MLCommons ® announced new results for its industry-standard MLPerf ® Inference v6.0 benchmark suite. This release includes several important advances that ensure the benchmark suite tests ...

Forbes contributors publish independent expert analyses and insights. I cover emerging technologies with a focus on infrastructure and AI This voice experience is generated by AI. Learn more. This ...

For years, co-founder and chief executive officer Jensen Huang and other higher-ups at Nvidia have been banging on the ...

Ahead of Nvidia Corp.’s GTC 2026 this week, we reiterate our thesis that the center of gravity in artificial intelligence is shifting from “How fast can you train?” to “How well can you serve?” ...

Intel Arc Pro B70 delivers up to 80% faster AI inference in MLPerf v6.0 benchmarks, with strong GPU and CPU performance gains ...

To understand what's really happening, we need to look at the full system, specifically total cost of ownership of an AI ...

A significant shift is under way in artificial intelligence, and it has huge implications for technology companies big and small. For the past half-decade, most of the focus in AI has been on training ...

An open standard for AI inference backed by Google Cloud, IBM, Red Hat, Nvidia and more was given to the Linux Foundation for ...