Oregon State University College of Engineering researchers have developed a more efficient chip as an antidote to the vast amounts of electricity consumed by large-language-model artificial intelligence applications like Gemini and GPT-4.

“We have designed and fabricated a new chip that consumes half the energy compared to traditional designs,” said doctoral student Ramin Javadi, who, along with Tejasvi Anand, associate professor of electrical engineering, presented the technology at the IEEE Custom Integrated Circuits Conference in Boston.

“The problem is that the energy required to transmit a single bit is not being reduced at the same rate as the data rate demand is increasing,” said Anand, who directs the Mixed Signal Circuits and Systems Lab at OSU. “That’s what is causing data centers to use so much power.”

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