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Positron believes it has found the secret to take on Nvidia in AI inference chips — here’s how it could benefit enterprises
The company’s first-generation chips were fabricated in the U.S. using Intel facilities, with final server assembly and integration.
“A key differentiator is our ability to run frontier AI models with better efficiency—achieving 2x to 5x performance per watt and dollar compared to Nvidia,” said Thomas Sohmers, Positron co-founder and CTO, in a recent video call interview with VentureBeat. “We build chips that can be deployed in hundreds of existing data centers because they don’t require liquid cooling or extreme power densities,” pointed out Mitesh Agrawal, Positron’s CEO and the former chief operating officer of AI cloud inference provider Lambda, also in the same video call interview with VentureBeat. These early users are reportedly drawn in by Atlas’s ability to deliver high throughput and lower power consumption without requiring specialized cooling or reworked infrastructure, making it an attractive drop-in option for AI workloads across enterprise environments.
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