Founded by former OpenAI infrastructure engineer Peter Voell, Mount Thor believes Apple computers could become an important part of the next generation of AI data centers.
Mount Thor has announced $45 million in financing across seed and Series A rounds to build cloud computing infrastructure based on Apple silicon.
CRV and Conviction co-led the Series A, while Chad Byers and Offline Ventures co-led the seed financing.
Other participants include CSC Leasing, Enea Capital, Long Journey Ventures and Upper90, alongside individual investors connected to AI companies.
Founded in 2026 by Peter Voell, Mount Thor provides cloud access to macOS environments and Apple hardware.
Its central idea is that AI agents increasingly need access to complete computer operating systems, not just APIs and language models.
Why Would AI Agents Need Macs?
Many AI systems perform tasks by interacting directly with applications.
They can navigate interfaces, open files, operate browsers and complete workflows originally designed for human computer users.
Some of those tasks depend on macOS-specific applications, development tools or platform capabilities.
Mount Thor allows customers to rent Apple hardware at data center scale.
Its infrastructure can provide dedicated bare-metal machines or isolated macOS virtual machines.
Developers can provision environments through APIs, command-line tools, Kubernetes integrations or a web interface.
The Apple Silicon Opportunity
Apple processors combine powerful computing capabilities with unified memory architectures.
Mount Thor sees an opportunity to use that hardware not only for operating AI agents but also for model inference.
Its service targets developers building computer-use agents, autonomous software and applications that require macOS.
The company also supports customers who want to operate their own Apple hardware inside Mount Thor facilities.
A New Category of AI Infrastructure
Most large AI data centers rely heavily on NVIDIA GPUs.
Mount Thor is not attempting to replace every type of GPU-based workload.
Instead, it wants to serve tasks where Apple hardware and macOS provide specific advantages.
The company deployed its first data center less than six months after its founding.
The new capital will support additional computing capacity, hiring and research into inference workloads.
Its challenge is demonstrating that specialized Mac infrastructure can become a scalable business rather than remaining a niche cloud service for developers.
Sources: 9to5Mac; Dealroom; The Information. The $45 million is the combined financing across two rounds.