Andrew Bonwick
Vice President of Product Development at Relm Insurance
Madhav Sheth
CEO of Ai+ Smartphone
Stephen Rose
CEO Render Networks


AI inference technology startup Positron has raised USD 23.5 million in funding from a group of investors, including Flume Ventures, Valor Equity Partners, Atreides Management, and Resilience Reserve. The company aims to scale production of its US-manufactured AI chips, offering a cost-effective and energy-efficient alternative to Nvidia’s AI hardware.
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Atlas Systems: High-Performance AI Compute
The company said it is already shipping products to data centers and neoclouds across the US, calling it a feat “that is almost insurmountable to chip startups with hundreds of millions or more in backing.”
Positron claims its Atlas systems delivers 3.5x better performance per dollar and 3.5x greater power efficiency than Nvidia’s H100 GPUs for AI inference. Its memory-optimised architecture achieves over 93 percent bandwidth utilisation, significantly outperforming GPUs. These systems deliver 70 percent faster inference at 66 percent lower power consumption than H100/H200 setups, reducing data center capital expenditures by 50 percent.
“Positron’s FPGA-powered servers support trillion-parameter models while offering plug-and-play compatibility with Hugging Face and OpenAI APIs,” the official release said.
Made in America AI Chip
Beyond the specifications, the company highlighted that its first-generation Atlas systems are entirely designed, manufactured, and assembled in the US.
“With this funding, we’re scaling at a pace that AI hardware has never seen before–from expanding shipments of our first-generation products to bringing our second-generation accelerators to market in 2026,” said Mitesh Agrawal, CEO of Positron. “Our solution is growing rapidly because it outperforms conventional GPUs in both cost and energy efficiency, while delivering AI hardware that eliminates reliance on foreign supply chains.”