Apple Mac mini (M5 Pro)

It suits you if you work in macOS and want a desktop that takes almost no room: the case measures 127 x 127 x 50.8 mm, holds 0.8 litres and has its power supply built in. Coders who run several screens get support for three displays, and the 64 GB build makes local language models a realistic job.

Skip it if you plan to add memory or an SSD later, because the memory is soldered and there are no M.2 slots or SATA bays. Skip it as well if you want a flexible hypervisor host, since macOS limits that choice, or if your desk is full of USB-A devices and SD cards.

Everyday use is well suited: the 15-core M5 Pro, macOS, Wi-Fi 7 and three Thunderbolt ports cover daily work comfortably.

Coding is well suited in both builds, with 24 GB or 64 GB of unified memory, three Thunderbolt ports and support for three external displays, though the memory cannot be upgraded after purchase.

Homelab use is workable: the 2.5GbE port has a 10GbE option, but memory and storage are fixed at purchase and macOS limits which hypervisors you can run, so plan the build around what you will host.

Local AI is workable on the 24 GB model and well suited on the 64 GB model. For local AI, check the exact model release, quantisation, context length, runtime overhead and memory available after the operating system. System RAM and GPU VRAM are different limits; shared-memory allocation depends on firmware, drivers and the backend. CPU inference or partial offloading can change what loads and its speed. Installed capacity alone does not establish compatibility or useful generation speed. Check the current Ollama or LM Studio hardware documentation for the exact GPU and operating system. Generation speed is not measured, and Apple does not state the memory bandwidth, so judge these builds on capacity alone.

Workstation tasks are workable on the 24 GB model and well suited on the 64 GB model, whose 64 GB of unified memory reaches workstation class.

Both builds use the same Apple M5 Pro with 15 cores, 15 threads and a 16-core GPU, run macOS and ship new. Only memory and storage change: 24 GB with 512 GB of NVMe storage, or 64 GB with 1000 GB. The 24 GB model is the sensible choice for everyday work and coding. For local AI, check the exact model release, quantisation, context length, runtime overhead and memory available after the operating system. System RAM and GPU VRAM are different limits; shared-memory allocation depends on firmware, drivers and the backend. CPU inference or partial offloading can change what loads and its speed. Installed capacity alone does not establish compatibility or useful generation speed. Check the current Ollama or LM Studio hardware documentation for the exact GPU and operating system.

There is nothing to upgrade inside this Mac mini. It has no memory slots and the memory is soldered, so the 24 GB or 64 GB you choose is permanent, and 64 GB is also the maximum. Storage follows suit: with no M.2 slots and no SATA bays, the 512 GB or 1000 GB NVMe drive stays as bought. There is no PCIe slot either. Your only real upgrade decision is which build to order, so size it for the work you expect to be doing later, not just today.

Apple states support for up to three displays, and the one dedicated video output is a single HDMI port, with no DisplayPort outputs. Apple does not state the HDMI version, so check it before planning a demanding main monitor on that port. Apple gives three Thunderbolt ports and a USB-C count of three, with no USB-A, so older peripherals need an adapter or a dock. Networking is one 2.5GbE Ethernet port with a 10GbE option, plus Wi-Fi 7 and Bluetooth 6, and the wireless module is included. Beyond the three Thunderbolt ports, there are no USB4 ports and no OCuLink.

The memory is soldered and there are no M.2 slots, so memory and storage are fixed for the life of the machine, with 64 GB as the ceiling. There is no USB-A, no SD card reader, no VESA mount and no PCIe slot. macOS also limits hypervisor choice for homelab use. Apple does not state the memory speed, memory bandwidth, ECC support, HDMI version, TDP or how much of the memory can go to the graphics.

The Dell Pro Max Micro FCM2250 swaps the M5 Pro for an Intel Core Ultra 5 245, but its network is 1GbE rather than 2.5GbE with a 10GbE option, so it is the weaker choice for fast networking. The MINISFORUM AtomMan G1 Pro pairs an AMD Ryzen 9 8945HX with discrete graphics rather than integrated, which makes it the one to consider if a separate graphics chip matters to you. The Lenovo ThinkStation P3 Ultra SFF Gen 2 uses an Intel Core Ultra 5 235 and reaches 128 GB of memory rather than 64 GB, worth a look if you could outgrow the Mac's ceiling.