OpenAI Reportedly Buys Tens of Thousands of Macs for Computer-Use Agent Training

OpenAI has reportedly bought tens of thousands of Mac minis and Mac Studios for computer-use-agent training, according to The Information. The machines are meant to train agents that autonomously handle multi-step tasks.

The reported deployment has a defined role rather than a general claim about all of OpenAI’s model training. It also supports reinforcement-learning and computer-use-agent work, tying the Apple hardware to the development of systems that can carry out a sequence of actions.

Ownership versus rented access

Anthropic is using the same class of hardware through a different arrangement: it rents Mac minis through AWS for AI work. The contrast is straightforward: OpenAI is reported to be acquiring machines, while Anthropic is accessing Mac capacity through a cloud provider.

A different compact hardware design

The purchases add Apple hardware to AI-lab infrastructure that has often centered on GPUs. Nvidia’s compact DGX Spark takes a different technical route, using dedicated GPUs, CUDA software and Tensor Cores rather than Apple’s unified-memory architecture.

That architectural contrast does not establish which system is better for agent work. Neither account provides a like-for-like measure of the reported Macs’ configuration, cost, performance or scalability against alternative hardware on the same workload.

Demand limits the high end

The most powerful Mac models have reportedly been sold out for months because of a memory-chip shortage. That availability constraint sits alongside OpenAI’s reported interest in obtaining more systems.

For now, the reported fleet is best understood as specialized capacity for computer-use agents, not evidence that AI labs are broadly replacing GPUs. The missing cost, configuration and comparative-performance details matter to judging how broadly this approach can translate beyond that workload.