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MacStadium offers bare metal Mac hardware in two product lines. Use the tables below to compare configurations and find the right fit for your workload. For benchmark scores, see the benchmarks page.

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Mac mini

Mac mini is recommended for most CI/CD and Orka workloads. Standard configurations are available for immediate purchase on the MacStadium customer portal.
PlanChipCPU coresRAMSSDBest for
M2.SM288 GB256 GBVDI, light CI/CD, basic automation
M4.SM41016 GB256 GBVDI, light CI/CD, basic automation
M1.MM1816 GB1 TBVDI, CI/CD, remote development
M2.MM2816 GB1 TBVDI, CI/CD, Orka nodes
M4.MM41024 GB512 GBVDI, CI/CD, Orka clusters
M2.LM2 Pro1016 GB1 TBCI/CD, Orka nodes
M4.LM4 Pro1248 GB1 TBMulti-VM CI/CD, Orka clusters
M2.XLM2 Pro1232 GB2 TBCI/CD pipelines, Orka clusters
M4.XLM4 Pro1464 GB2 TBHigh-concurrency CI/CD, large Orka clusters
All Mac mini configurations are Apple silicon (ARM). Intel Mac mini hardware is available for custom orders. Contact MacStadium sales for more. For Orka clusters: Medium and larger configurations (M2.M and above) are recommended. More RAM means more concurrent VMs per node. M2.XL and above are the best fit for teams running multiple VMs simultaneously.

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Mac Studio

Mac Studio is recommended for GPU-intensive workloads: video rendering, AI/ML inference, and running local language models. If your use case requires serving a model on-device rather than calling an external API, Mac Studio is the right tier. Standard configurations are available for immediate purchase on the MacStadium customer portal.
PlanChipCPU coresRAMSSDBest for
S1.MM1 Max1064 GB2 TBGPU workloads, AI/ML inference, video rendering
S2.MM2 Ultra2464 GB2 TBHigh-throughput GPU, local LLM serving, on-device model inference
S2.LM2 Ultra24128 GB2 TBVery large local models, maximum memory GPU workloads