- Valar Atomics has raised $1 billion in Series B funding, led by Sequoia Capital, tripling its April mark.
- Shaun Maguire joined the board days after Valar’s reactor powered an Nvidia chip.
- Valar added a $200M credit facility, bringing new financing to $1.2B for mass production
Artificial intelligence is fuelling an unprecedented surge in electricity demand, pushing investors beyond chips and data centres towards the energy systems that will power the next generation of computing.
That shift has helped Valar Atomics and it has secured a $1 billion Series B led by Sequoia Capital, valuing the nuclear startup at $6 billion. This tripled the $2 billion valuation it carried after its $450 million round in April 2026, which Tech Funding News reported at the time.
Apandion, Atreides Management, Conviction, Dream Ventures, HOF Capital, Point72, Riot Ventures, Snowpoint Ventures and Valor Equity Partners also participated in the round. Alongside the equity financing, the company also announced a $200 million credit facility led by Erebor Bank, with J.P. Morgan, Crescent Cove and Hercules Capital participating.
Sequoia partner Shaun Maguire joined Valar’s board. The timing follows directly from Valar’s own milestones: on June 18, its Ward 250 reactor reached self-sustaining criticality, and a week later it generated electricity to power an Nvidia Blackwell chip in a live demonstration — the first time an advanced reactor has directly powered AI infrastructure.
“One reactor can be built as a project. A fleet requires manufacturing. “It took two years to complete the NOVA core. It took seven months to take Ward 250 critical”, said founder Isaiah Taylor.
From high school dropout to Sequoia’s board table
Taylor dropped out of high school at 16 and founded Valar Atomics in 2023 in California. His pitch was that nuclear energy’s problem was never physics but that every plant gets built as a one-off.
Earlier backers include Palmer Luckey, Palantir’s Shyam Sankar and Lockheed Martin board member John Donovan, who joined a $130 million round in November 2025 led by Snowpoint Ventures.
The startup builds small, high-temperature gas-cooled reactors designed for factory production rather than custom construction. It’s also building its own fuel supply rather than buying from outside vendors.
“We will construct it ourselves in labs placed alongside the very reactors that same fuel will run,” Taylor added.
Within its first few years, Valar developed its Ward Zero prototype and achieved cold criticality in testing of its NOVA reactor core, in coordination with Los Alamos National Laboratory. The company was also selected for key U.S. Department of Energy pilot initiatives aimed at advancing nuclear reactor deployment and the commercial supply chains for high-assay low-enriched uranium fuel.
Moving beyond initial core testing, Valar reached self-sustaining criticality on its Ward-series prototype systems and demonstrated integrated power conversion to run high-density compute workloads.
AI is accelerating the nuclear race
Valar isn’t the only nuclear startup pulling in nine-figure checks this year. Antares raised $470 million for reactors intended for military bases, X-energy raised $1 billion through its IPO, and Last Energy closed $100 million in funding for reactors pitched directly at data centres.
Valar’s $1 billion is larger than all three combined — a sign of how far ahead of its peers Sequoia is willing to price a company that still operates a single working reactor.
Where Antares, X-energy and Last Energy sell reactor hardware and buy fuel elsewhere, Valar wants to own both ends of the chain. That’s either the thing that makes it defensible or the thing that makes it slower to scale — hard to say which yet, and Valar’s own timeline is the only evidence either way so far: two years to build the NOVA core, seven months to take Ward 250 critical.
The new funding will help Valar scale manufacturing capacity, expand its fuel production capabilities, and transition from building demonstration prototypes to producing fleets of reactors designed for AI infrastructure and heavy industrial applications.
