> ## Documentation Index
> Fetch the complete documentation index at: https://docs.macstadium.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Bare metal Mac configurations

> Side-by-side specs for all MacStadium bare metal Mac configurations: Mac mini and Mac Studio, with chip, RAM, storage, and recommended use case.

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](/iaas/bare-metal-macs/macstadium-bare-metal-mac-benchmarks).

## 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](https://portal.macstadium.com/register).

| Plan  | Chip   | CPU cores | RAM   | SSD    | Best for                                    |
| ----- | ------ | --------- | ----- | ------ | ------------------------------------------- |
| M2.S  | M2     | 8         | 8 GB  | 256 GB | VDI, light CI/CD, basic automation          |
| M4.S  | M4     | 10        | 16 GB | 256 GB | VDI, light CI/CD, basic automation          |
| M1.M  | M1     | 8         | 16 GB | 1 TB   | VDI, CI/CD, remote development              |
| M2.M  | M2     | 8         | 16 GB | 1 TB   | VDI, CI/CD, Orka nodes                      |
| M4.M  | M4     | 10        | 24 GB | 512 GB | VDI, CI/CD, Orka clusters                   |
| M2.L  | M2 Pro | 10        | 16 GB | 1 TB   | CI/CD, Orka nodes                           |
| M4.L  | M4 Pro | 12        | 48 GB | 1 TB   | Multi-VM CI/CD, Orka clusters               |
| M2.XL | M2 Pro | 12        | 32 GB | 2 TB   | CI/CD pipelines, Orka clusters              |
| M4.XL | M4 Pro | 14        | 64 GB | 2 TB   | High-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](https://www.macstadium.com/contact/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.

## 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](https://portal.macstadium.com/register).

| Plan | Chip     | CPU cores | RAM    | SSD  | Best for                                                          |
| ---- | -------- | --------- | ------ | ---- | ----------------------------------------------------------------- |
| S1.M | M1 Max   | 10        | 64 GB  | 2 TB | GPU workloads, AI/ML inference, video rendering                   |
| S2.M | M2 Ultra | 24        | 64 GB  | 2 TB | High-throughput GPU, local LLM serving, on-device model inference |
| S2.L | M2 Ultra | 24        | 128 GB | 2 TB | Very large local models, maximum memory GPU workloads             |

## Related

* [MacStadium Bare Metal Mac Benchmarks](/iaas/bare-metal-macs/macstadium-bare-metal-mac-benchmarks)
* [Data center locations](/iaas/iaas-overview/data-center-locations)
* [Common tools](/iaas/bare-metal-macs/common-tools)