Positron AI said it raised an oversubscribed $230 million Series B at a post-money valuation exceeding $1 billion to scale what it describes as energy-efficient AI inference hardware and accelerate development of its next-generation custom silicon. The round was co-led by ARENA Private Wealth, Jump Trading, and Unless, with strategic participation from Qatar Investment Authority, Arm, and Helena, alongside existing backers including Valor Equity Partners, Atreides Management, DFJ Growth, Resilience Reserve, Flume Ventures, and 1517.
The Reno, Nevada-based company positions itself as an infrastructure layer for running modern AI models at lower cost and power. Positron said its current product, Atlas, is an inference system built for rapid deployment and scaling, and that it is fully American-made to support faster production ramp and supply reliability for customers seeking near-term capacity.
Positron said the financing will advance its roadmap from Atlas systems to its next-generation Asimov silicon, with a targeted tape-out in late 2026 and production in early 2027, and will support the development of its Titan system platform. The company is emphasizing a memory-first architecture, arguing that inference workloads are increasingly constrained by memory bandwidth and capacity as models expand context windows and move into long context, agentic workflows, and next-generation video and media use cases.
A notable element of the announcement is Jump Trading’s decision to co-lead after first deploying Atlas as a customer, which Positron framed as validation of performance and roadmap alignment for power and memory-sensitive inference workloads.
Positron also said it expects strong revenue growth in 2026 and is working with multiple frontier customers across cloud, advanced computing, and performance-sensitive verticals, while expanding deployments and customer programs.
KEY QUOTES
“We’re grateful for this investor enthusiasm, which itself is a reflection of what the market is demanding. 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.”
“Jump Trading came to Positron as a customer. 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.”
Mitesh Agrawal, CEO, Positron AI
“Memory bandwidth and capacity are two of the key limiters for scaling AI inference workloads for next-generation models. 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.”
Dylan Patel, Founder and CEO, SemiAnalysis
“For the workloads we care about, the bottlenecks are increasingly memory and power—not theoretical compute. 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.”
Alex Davies, Chief Technology Officer, Jump Trading
“As AI inference scales, efficiency and system design matter more than raw benchmarks. Positron’s memory-centric approach, built on Arm technology, reflects how tightly coupled systems and a broad ecosystem come together to deliver scalable, performance-per-watt gains in next-generation AI infrastructure.”
Eddie Ramirez, Vice President of Go-to-Market, Cloud AI Business Unit, Arm
“Positron is solving one of the most important bottlenecks in AI: delivering inference at scale within real-world power and cost constraints. The combination of shipping traction today with Atlas, plus a credible path to Asimov, creates a rare opportunity to define a new category in AI infrastructure.”
Ari Schottenstein, Head of Alternatives, ARENA Private Wealth
