Positron AI, the leader in energy-efficient AI inference hardware, announced an oversubscribed $230 million Series B financing at a post-money valuation exceeding $1 billion.
The round was co-led by ARENA Private Wealth, Jump Trading, and Unless, and includes new and strategic investment from Qatar Investment Authority (QIA), Arm, and Helena. Existing investors Valor Equity Partners, Atreides Management, DFJ Growth, Resilience Reserve, Flume Ventures, and 1517 also participated. The financing validates Positron’s mission to make AI inference dramatically cheaper and more energy-efficient at scale.
“We’re grateful for this investor enthusiasm, which itself is a reflection of what the market is demanding,” said Mitesh Agrawal, CEO of Positron AI. “Energy availability has emerged as a key bottleneck for AI deployment. And our next-generation chip will deliver 5x more tokens per watt in our core workloads versus Nvidia’s upcoming Rubin GPU. Memory is the other giant bottleneck in inference, and our next generation Asimov custom silicon will ship with over 2304 GB of RAM per device next year, versus just 384 GB for Rubin. This will be a critical differentiator in workloads including video, trading, multi-trillion parameter models, and anything requiring an enormous context window. We also expect to beat Rubin in performance per dollar for specific memory-intensive workloads.”
Also Read: SECNAP Network Security Launches CloudJacket MXDR, A True Single-Pane MXDR Platform
Positron is building the infrastructure layer that makes AI usable at scale by lowering the cost and power required to run modern models. The company’s shipping product, Atlas, is an inference system designed for rapid deployment and scaling. Atlas is also a fully American-fabricated and manufactured silicon and system, enabling fast production ramp and dependable supply for customers who need capacity quickly.
“Memory bandwidth and capacity are two of the key limiters for scaling AI inference workloads for next-generation models,” said Dylan Patel, founder and CEO of SemiAnalysis, an advisor and investor in Positron. SemiAnalysis is a leading research firm specializing in semiconductors and AI infrastructure that provides detailed insights into the full compute stack. “Positron is taking a unique approach to the memory scaling problem, and with its next-generation Asimov chip, can deliver more than an order of magnitude greater high-speed memory capacity per chip than incumbent or upstart silicon providers.”
Jump Trading Leads After Deploying Atlas
A key highlight of the round is Jump Trading’s decision to co-lead after first becoming a customer.
“For the workloads we care about, the bottlenecks are increasingly memory and power—not theoretical compute,” said Alex Davies, Chief Technology Officer of Jump Trading. “In our testing, Positron Atlas delivered roughly 3x lower end-to-end latency than a comparable H100-based system on the inference workloads we evaluated, in an air-cooled, production-ready footprint with a supply chain we can plan around. The deeper we went, the more we agreed with Positron’s roadmap—Asimov and the Titan systems—as a memory-first platform built for future workloads. We invested because Positron combines traction today with a roadmap that can reshape the cost curve and capabilities for inference.”
“Jump Trading came to Positron as a customer,” said Agrawal. “As they saw our roadmap for Asimov, our custom silicon, and Titan, our next-generation system, they chose to step up as a co-lead investor. A customer becoming an investor is one of the strongest validations we can receive. It signals both technical conviction and real-world demand.”
SOURCE: Businesswire