Mount Thor raises $45 million to build Mac data centres for AI agents

Representative image: fancycrave1 / Pixabay
US start-up Mount Thor raised $45 million in seed and Series A funding, announced on 12 November 2026, to rent Apple Mac computers in data centres to AI agents.
What Happened
Mount Thor, a start-up based in the San Francisco Bay Area, said on Thursday, 12 November 2026, that it has raised $45 million across its seed and Series A funding rounds to build data centres made of Apple computers for artificial intelligence (AI) agents. The Series A was co-led by the venture firms CRV and Conviction, and the seed round by investor Chad Byers and Offline Ventures. The company rents out Apple Macs running the macOS operating system as cloud computing, in the way large cloud providers rent out Linux servers.
Key Facts
- Total raised: $45 million across seed and Series A rounds; the split between the two and the valuation were not disclosed.
- Series A co-leads: CRV and Conviction. Seed co-leads: Chad Byers and Offline Ventures.
- Other investors named include CSC Leasing, Enea Capital, Long Journey Ventures and Upper90.
- The company also raised separate non-dilutive money, which does not give away shares, to pay for hardware.
- Founder and chief executive Peter Voell previously worked on OpenAI's computing infrastructure team, according to reports.
- The company says it deployed its first data centre in under six months and runs Apple silicon machines in colocation centres in major US cities.
- It plans to use the money to add computing capacity, hire staff and build an inference lab for running open-source AI models on Apple silicon.
Why It Matters
An AI agent is software that does tasks on its own, such as clicking through apps, filling in forms or writing and testing code. To learn and to work, many agents need a real computer to operate, with a screen, an operating system and apps, rather than only a text box. Mount Thor's bet is that Apple's macOS will be a common workplace for such agents, and that labs and companies will want to rent Macs by the hour instead of buying and managing thousands of machines themselves.
The bet follows a trend reported earlier this year: AI labs, including OpenAI, were reported to be buying tens of thousands of Mac mini and Mac Studio computers to train agents that can use computers. Mount Thor's chief executive argues that macOS is the best place for agents to work and for humans to hold them accountable. These are the company's views, and the market is still young.
Renting Macs in a data centre is not new; Amazon Web Services and MacStadium already offer cloud Mac machines, according to reports. Mount Thor's pitch is a service built for AI work at scale, with access through a web portal, command-line tools, Kubernetes or an application programming interface (API). Its planned inference lab will test how well open-source AI models run on Apple silicon; inference is the stage where a trained AI model answers requests.
For founders elsewhere, including in India, the round shows that investors are funding the "picks and shovels" around AI agents, not only the agents themselves: the computers, data centres and tools that agents run on.
Peepals timeline: Reports in August 2026 described AI labs buying tens of thousands of Mac minis and Mac Studios to train computer-use agents; earlier reports also described Mount Thor as operating in stealth. The company says it built its first data centre in under six months. On 12 November 2026 it announced $45 million in seed and Series A funding and its plans for an inference lab on Apple silicon.
| Mount Thor funding | Detail |
|---|---|
| Total announced (12 November 2026) | $45 million, seed plus Series A |
| Series A co-leads | CRV, Conviction |
| Seed co-leads | Chad Byers, Offline Ventures |
| Other investors | CSC Leasing, Enea Capital, Long Journey Ventures, Upper90 |
| Extra financing | Non-dilutive capital for hardware |
Impact
Short-term: Mount Thor will add Mac machines and staff, and AI labs that need macOS for training and testing agents get another supplier to rent from.
Long-term: If AI agents become heavy users of ordinary desktop software, demand for rented Macs could grow with the number of agents. If the trend fades, data centres built around one maker's computers could prove a narrow business.
Who is affected: AI research labs and companies building computer-use agents, rival Mac cloud providers, and investors in AI infrastructure.
Key Takeaway
Mount Thor has raised $45 million to rent Apple Macs in data centres to AI agents, betting that agents will need real desktop computers to do their work.
Questions and Answers
What is Mount Thor?
Mount Thor is a US start-up that runs data centres of Apple silicon Mac computers and rents them out as cloud computing, mainly for AI labs and companies building AI agents.
How much did Mount Thor raise and who invested?
It announced $45 million on 12 November 2026 across seed and Series A rounds. CRV and Conviction co-led the Series A, and Chad Byers and Offline Ventures co-led the seed round.
Why would AI agents need Mac computers?
Agents that operate software the way people do need a real operating system and apps to work in. Mount Thor argues that macOS is a good environment for such agents, and AI labs have been reported to be buying large numbers of Macs to train them.
Who leads Mount Thor?
Its founder and chief executive is Peter Voell, who previously worked on OpenAI's computing infrastructure team, according to reports.
Disclaimer: Prepared by the Peepals newsroom from publicly available sources with AI assistance. Information is accurate to the best of our knowledge at the time of publication and may change. Images may be representative. Not professional advice. Report an error via our contact page.
By Elena D’Souza, Startups & Innovation CorrespondentCovers Start-ups & Opportunities and more for Peepals Global. All stories by Elena D’Souza
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Elena D’Souza is a pen name of the Peepals Global Editorial Team, which researches, fact-checks and publishes every story. The portrait is an illustration.









