RENO, Nev.—Positron, a developer of AI inference technology for artificial intelligence computing, reported that it raised $23.5 million in funding from a group of investors, including Flume Ventures, Valor Equity Partners, Atreides Management, and Resilience Reserve.
According to a release from Positron, the funding will enable the company to scale production of its U.S.-manufactured, energy-efficient AI chips, providing enterprises with a cost-effective alternative to Nvidia’s AI hardware. The company is “already shipping products to data centers and neo-clouds around the country,” a feat described by Positron as “almost insurmountable to chip startups with hundreds of millions or more in backing.” It is also a testament to the rapid product-market fit achieved by Positron since the company’s launch in 2023, Positron said in the release.
As businesses grapple with AI capex, escalating costs, and vendor lock-in, Positron is said to offer a high-performance, energy-efficient alternative to customers.
“Positron’s Atlas systems are presently achieving 3.5x better performance per dollar and 3.5x greater power efficiency than Nvidia H100 GPUs for inference,” the release stated. “Leveraging a memory-optimized architecture that hits >93% bandwidth utilization (versus 10–30 percent for GPUs), Positron’s FPGA-powered servers support trillion-parameter models while offering plug-and-play compatibility with Hugging Face and OpenAI APIs. These systems deliver 70 percent faster inference at 66 percent lower power consumption than H100/H200 setups, slashing data center CapEx by 50 percent.”
Beyond the specs, the company said its first-generation Atlas systems are entirely designed, manufactured, and assembled in the U.S.—an important consideration for product manufacturers in an ecosystem subject to global political and economic tensions.
Driving the next generation of AI compute
At the helm of Positron’s next phase of growth is Mitesh Agrawal, the company’s newly appointed CEO. Agrawal previously served as an executive at Lambda, the AI unicorn he helped grow from $500,000 to $500 million in annualized revenue, while securing over $1 billion in funding. He now joins Positron’s co-founders, Thomas Sohmers and Edward Kmett, to drive the company’s mission of delivering domestically made AI compute solutions.
Sohmers—a Thiel Fellow and experienced entrepreneur—currently serves as Positron’s chief technology officer, while Kmett—a world-renowned mathematician and functional programming expert—serves as Positron’s chief scientist.
“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 Agrawal, in the release. “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.”
A Domestic alternative to global AI hardware
Unlike many semiconductor companies that rely on offshore manufacturing, Positron said it has built a fully American supply chain, ensuring that its AI hardware is designed, fabricated, and assembled within the United States.
“Investing in domestic AI hardware is a strategic imperative when it comes to securing America’s global AI posture,” said Scott McNealy, operating partner at Flume Ventures, in the release. “Positron is proving that world-class AI compute doesn’t have to come from overseas, and we’re excited to support their mission to make the U.S. a leader in AI hardware manufacturing.”
Beyond cost savings, Positron’s technology is addressing the growing power constraints of AI infrastructure. Many legacy data centers struggle to support high-power GPUs, which consume as much as 10,000 watts per server—far beyond the capacity of traditional data centers. Positron’s energy-efficient architecture is said to allow these facilities to participate in AI computing without requiring massive infrastructure upgrades.
“The demand for AI compute is skyrocketing, and enterprises are searching for viable alternatives that are energy- and cost-efficient for the long term,” said Rob Reid, co-founder of Resilience Reserve, in the release. “What sets Positron apart is not just its cost efficiency, but its ability to bring AI hardware to market at an unprecedented speed and provide a high performance per watt. Their innovative approach is enabling businesses to scale AI workloads without the typical barriers of cost and power consumption.”
As the AI landscape evolves, enterprises are demanding solutions that not only enhance performance and efficiency but also provide long-term flexibility and sustainability. Positron’s continued momentum is said to signals a shift in the industry—one where innovation, accessibility, and domestic manufacturing converge to redefine the future of AI hardware, the company said.