Mount Thor Raises $45 Million to Bring Apple Hardware to Agentic AI Infrastructure

Mount Thor has raised $45 million in equity funding to make Apple hardware available as cloud infrastructure for AI research and deployment. The San Francisco startup is targeting a growing requirement for computer-use agents: access to complete macOS environments where they can learn, run applications, and carry out work over extended periods.

The funding spans Seed and Series A financings. CRV and Conviction co-led the Series A, while Chad Byers and Offline Ventures co-led the Seed. CSC Leasing, Enea Capital, Long Journey Ventures, and Upper90 also participated, alongside strategic angel investors affiliated with Cognition, Core Automation, Daytona, Meta, OpenAI, Together AI, and Vercel.

Mount Thor separately raised non-dilutive capital to support hardware purchases. It has not disclosed how the $45 million equity total divides between the two rounds or the amount of that additional financing.

Why AI Agents Need an Operating Environment

An agent that navigates software needs more than a model endpoint. It needs somewhere to open applications, inspect their state, manipulate files, and continue a task when the next instruction arrives. For workloads involving Apple applications or development tools, that environment may need to be macOS.

Mount Thor is building around that demand. Its infrastructure serves research labs creating reinforcement learning environments for computer-use models, providers offering macOS sandboxes, and agent products that need persistent machines. The company also identifies Apple software development and enterprise inference as target workloads.

Those uses create different operational requirements. A training experiment might repeatedly reset an environment to evaluate a model under controlled conditions. A deployed assistant might need its environment to persist for weeks. A software development platform might provision machines in parallel to build and test applications. Managing those lifecycles is a substantial part of the infrastructure problem.

“Making Apple’s operating system and silicon available at datacenter-scale is a massive untapped opportunity in AI infrastructure,” said Peter Voell, Mount Thor’s founder and CEO. He points to Apple’s investment in accessibility and human-computer interaction as part of the platform’s appeal for agents and the people supervising them.

Dedicated Macs and macOS Virtual Machines

Mount Thor’s compute documentation describes two deployment choices. Bare metal allocates a physical Mac exclusively to a customer. A virtual machine provides an isolated macOS environment on a Mac reserved for that customer, with two VM slots available on the host.

The distinction also affects permissions. The documented bare-metal account is a permissive non-root user, while VM users have administrator access. That makes VMs the documented option for workloads requiring changes to system settings. Dedicated hardware is useful when performance measurements need an entire machine or software cannot run in a virtual environment.

The VM service is currently in preview. Customers can choose an image, create an instance, and connect through SSH or a remote desktop. The documentation describes private authenticated tunnels for these connections, with guest addresses kept off the public internet.

This gives agent developers a way to treat a Mac as a provisioned execution environment rather than a workstation someone must set up manually. Isolation and access controls still need to fit the particular workload, especially when an agent handles accounts, proprietary files, or external services.

A Cloud Control Layer for Apple Hardware

Mount Thor offers a portal, its mthr command-line tool, and APIs to manage compute. Its Kubernetes interface exposes virtual machines and bare-metal Macs as custom resources within a customer’s tenant namespace, with actions governed by assigned permissions.

That interface lets infrastructure teams describe a desired machine configuration and manage its lifecycle through familiar orchestration workflows. It does not turn macOS into a Linux container; Kubernetes acts as the management layer for allocating the underlying Apple compute.

The company also distinguishes Mount Thor-managed and customer-managed fleets. In the managed offering, Mount Thor prepares, monitors, and wipes machines. Customer-managed deployments let organizations operate their own Macs at a Mount Thor site, using their own management tools and security model.

The Inference Opportunity on Apple Silicon

Alongside environments where agents act, Mount Thor wants to supply hardware where models run. The company plans to build an inference lab focused on open-source models optimized for Apple silicon, giving enterprises another option for serving workloads.

That is a different proposition from renting a remote desktop. Inference infrastructure must balance model capacity, response latency, throughput, and operating cost. Apple silicon’s integrated architecture makes it an alternative worth evaluating, but the announcement does not provide comparative serving benchmarks or prices that establish a universal advantage over other accelerators.

For customers, the practical opportunity is to choose infrastructure around an actual workload: a macOS-dependent agent, an Apple software pipeline, or a model-serving deployment. Success in one of those areas does not automatically establish the best economics in the others.

Funding a Larger Compute Footprint

Mount Thor says it deployed its first data center in less than six months. Its team includes people who previously built infrastructure at Cerebras, CoreWeave, Fluidstack, Nebius, OpenAI, and xAI. The financing will support capacity expansion and hiring.

The company’s website describes colocation relationships in major U.S. metropolitan areas, with Europe and Asia planned. That separates its current geographic footprint from its expansion ambitions.

The larger bet is that autonomous software will create demand for operating environments as well as model compute. Mount Thor is positioning Apple infrastructure as a service developers can allocate and manage at scale, without building and maintaining the physical fleet themselves.