Positron believes it has found the secret to take on Nvidia in AI inference chips — here’s how it could benefit enterprises

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As demand for large-scale AI deployment skyrockets, the lesser-known, private chip startup Positron is positioning itself as a direct challenger to market leader Nvidia by offering dedicated, energy-efficient, memory-optimized inference chips aimed at relieving the industry’s mounting cost, power, and availability bottlenecks.

“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.

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Obviously, that’s good news for big AI model providers, but Positron’s leadership contends it is helpful for many more enterprises beyond, including those using AI models in their workflows, not as service offerings to customers.