- Volta raised $300 million at a $2.4 billion valuation, backed by Nvidia and Michael Dell.
- It also lined up $5 billion in customer financing and a $10 billion cloud deal.
- Founded by former Brookfield Asset Management executives Ricard Boada and Sofia Gumuzio, Volta is tackling the soaring upfront cost of building AI infrastructure.
Volta has raised $300 million in venture funding at a $2.4 billion valuation, co-led by Andreessen Horowitz and Altimeter Capital, with Nvidia and Dell Technologies founder Michael Dell also participating. It brings the seven-month-old company’s total funding to $300 million.
Alongside the equity, Volta has secured $5 billion in financing to help AI companies buy Nvidia’s costly GPU infrastructure, and signed a $10 billion, six-year cloud computing contract with an AI developer it declined to name, delivered in partnership with Bitdeer Technologies through a 133 MW data centre in Norway.
“We founded Volta because compute should be financed, developed and commercialised with the principles and scale of infrastructure. We saw a massive opportunity and a massive gap in the market,” said Ricard Boada, Volta’s co-founder and chief executive.
That gap is the real story here. Hyperscalers can self-fund GPU clusters costing billions of dollars; almost nobody else can, which turns access to compute into as much a financing problem as an engineering one. Nvidia has separately explored financing up to $350 billion of infrastructure for OpenAI’s Stargate project.
Two Brookfield dealmakers spot the gap
Boada and his co-founder Sofia Gumuzio, now chief corporate development officer, built Brookfield’s AI infrastructure platform together before leaving to start Volta earlier this year. Boada brings data centre financing expertise; Gumuzio brings relationships across land and power, and the pair pitched investors on turning that track record into a standalone platform.
The startup, founded in 2026, works by pairing project finance with cloud software. It acquired the team behind Genesis Cloud, a European GPU-first cloud operator running since 2018 with more than 20,000 users, to pair its balance-sheet muscle with the software needed to actually provision and run the compute it finances.
“AI is transforming compute from a technology product into critical infrastructure. Meeting that demand requires a platform that can mobilise infrastructure capital, secure power, and execute at industrial scale while moving at the pace of AI innovation,” Gumuzio said.
Competition and market outlook
Volta enters a market stacked with well-funded rivals.
CoreWeave has pulled together roughly $28 billion in equity and debt, including an $8.5 billion GPU-backed facility. Crusoe raised a $1.3 billion Series E at a valuation above $10 billion, and Lambda has taken in more than $3.6 billion to scale its GPU cloud.
Unlike rivals, Volta is pitching the reverse, positioning the balance sheet as the product and compute as what sits on top of it.
The AI infrastructure market was worth $35.4 billion in 2023 and is projected to hit $75.9 billion this year before reaching $223.5 billion by 2030, a 30.4% CAGR, according to Grand View Research. Circular deals between chipmakers, cloud builders and AI labs have already drawn scrutiny for concentrating risk rather than spreading it.
That risk is part of what makes a16z’s involvement notable. The firm has largely stayed away from neocloud and data-centre bets until now, and Raghu Raghuram, its managing partner, said Volta’s founders won it over through their track record financing projects and locking down power agreements rather than through the technology itself. Success, he said, will hinge on companies mastering “the financial complexities of building and operating new clouds and selling to customers.”
Jamin Ball, a partner at Altimeter Capital, was blunter about where the sector is headed: “There’s going to be so many dead bodies and so much consolidation eventually.”
Volta has already secured 1 gigawatt of power capacity and plans new sites in Texas and Wyoming, targeting multiple gigawatts of capacity by 2030. There’s something almost circular about all of this: Nvidia is now an investor in a company whose entire purpose is helping other companies afford Nvidia’s chips.
Whether that’s the AI infrastructure market maturing into something more sustainable, or just another layer of dependency stacked on top of an already leveraged industry, is the question worth sitting with.
