Positron AI Raises $230 Million Series B at Over $1 Billion Valuation to Scale Energy-Efficient AI Inference

RENO, Nev.--(BUSINESS WIRE)--Feb 4, 2026--

Positron AI, the leader in energy-efficient AI inference hardware, today announced an oversubscribed $230 million Series B financing at a post-money valuation exceeding $1 billion.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260204250472/en/

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.”

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.”

Building Toward Asimov and Titan: A Memory-First Platform for Next-Generation Inference

Positron's next-generation custom silicon, Asimov, is designed around the reality that modern AI workloads are increasingly limited by memory bandwidth and capacity, not just compute flops. Asimov is designed to support 2 terabytes of memory per accelerator and 8 terabytes of memory per Titan system at similar realized memory bandwidth to NVIDIA's next-generation Rubin GPU. At rack scale, this translates to memory capacity of well over 100 terabytes.

“As AI inference scales, efficiency and system design matter more than raw benchmarks,” said Eddie Ramirez, Vice President of Go-to-Market, Cloud AI Business Unit, Arm. “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.”

This memory-first architecture unlocks high-value inference workloads, including long-context large language models, agentic workflows, and next-generation media and video models. Positron is on track to tape out its Asimov chip just 16 months after its June Series A financing gave it the resources to fully launch the design process, and the company intends to maintain this pace with future chips. “To us, development speed is an essential competitive advantage,” said Agrawal. “Competing with Nvidia means matching their shipping frequency, and we have designed our organization around that goal.”

“Positron is solving one of the most important bottlenecks in AI: delivering inference at scale within real-world power and cost constraints,” said Ari Schottenstein, Head of Alternatives at ARENA Private Wealth. “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.”

Positron is building this platform with an ecosystem of industry leaders, including Arm, Supermicro and other key technology and supply-chain partners.

Momentum and Growth Trajectory

Positron expects strong revenue growth in 2026, positioning the company to become one of the fastest-growing silicon companies ever, achieving large-scale commercial traction in roughly 2.5 years from company launch. The company is working with multiple frontier customers across cloud, advanced computing, and performance-sensitive verticals, and continues to expand deployments and customer programs.

About Positron AI

Positron AI builds purpose-built hardware and software to make AI inference dramatically cheaper and more energy-efficient. Positron's shipping product, Atlas, is designed for rapid, scalable deployment, and the company's next-generation custom silicon, Asimov, targets tape-out toward the end of 2026 with production in early 2027. Positron's systems are built to serve long-context and next-generation AI workloads with leading economics. Learn more at positron.ai.

Thomas Sohmers (L), CTO and cofounder, and Mitesh Agrawal (R), CEO of Positron AI (Credit: Kavita Agrawal)

KYIV, Ukraine (AP) — Envoys from Moscow and Kyiv met in Abu Dhabi on Wednesday for another round of U.S.-brokered talks on ending the almost four-year war as Russian cluster munitions killed seven people at a market in Ukraine.

The delegations from Moscow and Kyiv were joined in the United Arab Emirates by U.S. officials, Rustem Umerov, Ukraine's National Security and Defense Council chief, who was present at the meeting, said on social media.

Umerov said the planned two-day negotiations in Abu Dhabi started with all three delegations present, after which negotiators were to break into groups according to topics and then meet as a full group again at the end.

The American team was due to include special envoy Steve Witkoff and President Donald Trump’s son-in-law, Jared Kushner, who also attended last month’s meeting, according to the White House.

The current talks also coincide with the expiry of the last remaining nuclear arms pact between Russia and the United States on Thursday. Trump and Putin could extend the terms of the treaty or renegotiate its conditions in an effort to prevent a new nuclear arms race.

Last month’s discussions in the Emirati capital, part of a U.S. push to end the fighting, yielded some progress but no breakthrough on key issues, officials said.

The Abu Dhabi talks were held amid Ukrainian outrage over major Russian attacks on its energy system, which have occurred each winter since Russia launched its all-out invasion of its neighbor on Feb. 24 2022.

A huge Russian bombardment overnight from Monday to Tuesday included hundreds of drones and a record 32 ballistic missiles, wounding at least 10 people. This came despite Ukraine’s understanding that Russian President Vladimir Putin had told Trump he would temporarily halt strikes on Ukraine’s power grid.

Ukrainian civilians are struggling with one of the coldest winters in years, which saw temperatures around minus 20 degrees Celsius (minus 4 Fahrenheit).

Kremlin spokesman Dmitry Peskov wouldn’t offer any details on the Abu Dhabi talks and said that Moscow wasn’t planning any comment on their results.

He said that “the doors for a peaceful settlement are open,” but noted that Moscow will press its military action until Kyiv meets its demands.

Russia is hitting Ukraine’s energy facilities because its armed forces believe the targets are associated with Kyiv’s military effort, Peskov said.

There has been a lack of clarity about how long Putin had promised to observe a pause on power grid attacks.

Trump said Tuesday at the White House that Putin had agreed to halt strikes for a week, through Feb. 1, and that the Russian leader had kept his word. But Zelenskyy said Tuesday that “barely four days have passed of the week Russia was asked to hold off,” before Ukraine was hit with fresh attacks, suggesting the Ukrainian leader wasn't fully aware of the terms of the Trump-Putin agreement.

Meanwhile, White House Press Secretary Karoline Leavitt said Trump was “unfortunately unsurprised” by Moscow’s resumption of attacks.

On Wednesday, more than 200 repair crews were at work in Kyiv to restore power, the Ukrainian Energy Ministry said, adding that staff were exhausted and would be rotated. More than 1,100 apartment buildings in the capital were still without heating, Zelenskyy said.

The Institute for the Study of War, a Washington think tank, said the developments were part of Moscow’s negotiating strategy.

“The Kremlin will likely attempt to portray its adherence to this short-term energy strikes moratorium as a significant concession to gain leverage in the upcoming peace talks, even though the Kremlin used these few days to stockpile missiles for a larger strike package,” it said late Tuesday.

Russia used cluster munitions Wednesday in an attack on a busy market in eastern Ukraine that killed seven and wounded eight others, officials said.

The attack on the town of Druzhkivka darkened prospects for progress in the UAE, with Donetsk regional military administration chief Vadym Filashkin describing Russian talk of a ceasefire as “worthless.”

Russia also launched 105 drones against Ukraine overnight, and air defenses shot down 88 of them, the Ukrainian air force said Wednesday. Strikes by 17 drones were recorded at 14 locations, as well as falling debris at five sites, it said.

In the central Dnipropetrovsk region, a Russian strike on a residential area killed a 68-year-old woman and a 38-year-old man, regional military administration head Oleksandr Hancha said.

The southern city of Odesa also came under a large-scale attack, regional military administration head Oleh Kiper said. About 20 residential buildings were damaged, with four people rescued from under the rubble, he said.

Follow AP’s coverage of the war in Ukraine at https://apnews.com/hub/russia-ukraine

In this image made from video provided by Russian Defense Ministry Press Service on Wednesday, Feb. 4, 2026, Russian Multiple rocket launcher TOS-1A fires towards Ukrainian positions on an undisclosed location in Ukraine. (Russian Defense Ministry Press Service via AP)