Onsemi Aims to Improve AI Power Efficiency with Silicon Carbide Chips

Onsemi Aims to Improve AI Power Efficiency with Silicon Carbide Chips
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Onsemi Aims to Improve AI Power Efficiency with Silicon Carbide Chips

Onsemi Aims to Improve AI Power Efficiency with Silicon Carbide Chips

Onsemi on Wednesday unveiled a lineup of chips designed to make the data centers that power artificial intelligence services more energy efficient by borrowing a technology it already sells for electric vehicles.

Onsemi is one of a handful of suppliers of chips made of silicon carbide, an alternative to standard silicon that is more pricey to manufacture but more efficient at converting power from one form to another. In recent years, silicon carbide has found wide use in electric vehicles, where swapping out the chips between the vehicle's battery and motors can give cars a boost in range, Reuters reported.

Simon Keeton, president of the power solutions group at Onsemi, said that in a typical data center, electricity gets converted at least four times between when it enters the building and when it is ultimately used by a chip to do work. Over the course of those conversions, about 12% of the electricity is lost as heat, Keeton said.

"The companies that are actually using these things - the Amazons and the Googles and the Microsoft - they get double penalized for these losses," Keeton said. "Number one, they're paying for the electricity that gets lost as heat. And then because it gets lost as heat, they're paying for the electricity to then cool" the data center, Keeton said.

Onsemi believes it can reduce those power losses by a full percentage point. While a percentage point does not sound like much, the estimates of how much power AI data centers will consume is staggering, with some groups estimating up to 1,000 terawatt hours in less than two years.

One percent of that total, Keeton said, "is enough to power a million houses for a year. So that puts it into context of how to think about the power levels."



Alphabet to Roll out Image Generation of People on Gemini after Pause

A large Google logo is seen at Google's Bay View campus in Mountain View, California on August 13, 2024. (AFP)
A large Google logo is seen at Google's Bay View campus in Mountain View, California on August 13, 2024. (AFP)
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Alphabet to Roll out Image Generation of People on Gemini after Pause

A large Google logo is seen at Google's Bay View campus in Mountain View, California on August 13, 2024. (AFP)
A large Google logo is seen at Google's Bay View campus in Mountain View, California on August 13, 2024. (AFP)

Alphabet's Google said on Wednesday it has updated Gemini's AI image-creation model and would roll out the generation of visuals of people in the coming days, after months-long pause of the capability.

In February, Google had paused its AI tool that creates images of people, following inaccuracies in some historical depictions generated by the model.

The issues, where the AI model returned historical images which were sometimes inaccurate, drew flak from users.

The company said it has worked to improve the product, adhere to "product principles" and simulated situations to find weaknesses.

The feature will be made available first to paid users of the Gemini AI chatbot, starting in English and later roll out the model to bring more users and languages.

Google said it has improved the Imagen 3 model to create better images of people, but it would not generate images of specific people, children or graphic content.

OpenAI's Dall-E, Microsoft's CoPilot and recently xAI's Grok are among other AI chatbots that can now generate images.

The search engine giant also said over the coming days, subscribers to Gemini Advanced, Business and Enterprise would have access to chatting with "Gems" or chatbots customized for specific purposes.

Users can write specific instructions for particular purposes and create a Gem, saving them time from rewriting prompts for repetitive use cases.