ASUS NUC 14 Pro vs MINISFORUM MS-01

Everyday use and coding are well suited on both in their ready-to-run forms: the ASUS with the Core Ultra 7 155H and 16 GB, and the MINISFORUM with any of its 32 GB models. The MS-01 gives coders more room, with three M.2 slots for separate build and data volumes and two USB4 ports.

Gaming favours the ASUS. Its Intel Arc graphics make esports and older titles at 1080p workable, and ASUS notes the graphics need both SODIMM slots filled to reach full performance. The MS-01's Iris Xe graphics make it a poor fit for games as sold, though its PCIe 4.0 slot, physically x16 and wired with 8 lanes, can take a discrete card.

For a homelab the roles flip: the MS-01 is well suited, with two 10GbE SFP+ ports, two 2.5GbE ports and memory to 96 GB. The NUC is workable for a homelab, with a single 2.5GbE port. Add an interface for separate physical network links. VLAN routing over a single port is possible with a compatible managed switch and suitable network configuration.

Local AI depends on memory. The 16 GB ASUS is a poor fit, because only small quantised models fit as sold. 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. Neither maker states memory bandwidth, so you cannot judge generation speed in advance.

As a workstation, the MS-01 is well suited thanks to its 8-lane card slot, while the ASUS is a poor fit, with no card slot and no discrete graphics. The barebones kits of both are not assessed until built.

Neither machine solders its memory, and both use two SODIMM slots. The ASUS goes from 16 GB to a maximum of 48 GB. 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. The MS-01 starts at 32 GB in its built models and reaches 96 GB, which clears that 64 GB mark.

For storage, the ASUS has two M.2 slots, in 2280 and 2242 lengths, alongside its 512 GB NVMe drive. ASUS does not state their PCIe generation, so plan on adding an M.2 drive without knowing its speed. The MS-01 has three NVMe slots in 2280 and 22110 lengths, plus U.2, around its 1000 GB drive. Its first slot is PCIe 4 and its second PCIe 3, so a PCIe 4.0 drive in the second slot runs at PCIe 3.0 speed. There are no SATA bays.

The ASUS has one 2.5GbE port, Wi-Fi 6E with the wireless module included, and Bluetooth 5.3. It adds two Thunderbolt ports, three USB-C ports, three USB-A ports and two HDMI outputs, with no DisplayPort. ASUS does not state the maximum number of displays, so plan on two HDMI screens. It can also hang on a VESA mount.

The MS-01 has four network ports, two 10GbE SFP+ and two 2.5GbE, plus Wi-Fi 6 with the module included and Bluetooth 5.2. It has two USB4 ports, two USB-C ports, five USB-A ports and one HDMI output, and MINISFORUM states a maximum of three displays.

Neither maker states its HDMI version. For 4K above 60 Hz, you need HDMI 2.1 on the computer, the cable and the display.

The fair ready-to-run match is the ASUS with the Core Ultra 7 155H, 16 GB and 512 GB against the MS-01 with the Core i9-13900H, 32 GB and 1000 GB, both on Windows 11 Pro. The MS-01 arrives with more memory installed, which matters most for local AI.

If you prefer to build your own, compare the ASUS barebones kit with the Core Ultra 7 155H against the MS-01 kit with the Core i9-13900H. You can also pair the Core Ultra 5 125H kit with the Core i5-12600H kit. Every kit needs memory and storage added before it runs.

If both are more machine than you need, the Beelink EQ14 is the alternative to look at. It uses an Intel N150 rather than the Core Ultra 7 155H, and its memory tops out at 16 GB rather than 48 GB. Choose it only if your work stays light: that lower memory ceiling rules out the virtual machines and local models where the MS-01 earns its keep.