10 Best Mini PCs for Software Development (September 2026) Complete Reviews

The Apple Mac mini M4 is the best mini PC for software development in 2026, and the Beelink SER9 Max is the best overall Windows box. I say that after putting ten of the current top-selling compact desktops through the same developer checklist: real CPU core counts, whether the memory can be replaced, how many displays run at once, and whether the machine holds together through an hour-long compile.

That checklist matters more than any benchmark chart, because the difference between a mini PC that feels cheap in year two and one that grows with your work is almost always soldered memory or a missing second storage slot. Community developers on r/MiniPCs describe the same trio of workloads again and again: programming, running Docker or VMs for testing, and web browsing with dozens of tabs. I built this guide around that trio.

A mini PC is simply a desktop in a paperback-sized case. You plug it into one or two monitors with a keyboard and mouse, and it behaves like a fixed workstation that happens to draw a fraction of the power and take up almost no desk space. What you get instead of a tower is a smaller upgrade path, fewer ports, and thermals that can throttle a long build if the chassis is too thin.

I compared ten units across the price bands and workload tiers, read the owner reviews closely, and flagged exactly who should skip each one. If you also want the full-size option, I keep a separate roundup on the best desktop computers for software development, and if you have outgrown Apple’s box but want to stay in that footprint, the best Mac mini alternatives is the natural next read.

Our Top 3 Mini PCs for Software Development

Comparing All 10 Mini PCs for Software Development in 2026

1. Apple Mac mini M4 – The Best Overall Pick for iOS and macOS Development

This is the only pick on the list I would describe as having no wrong answer for a specific developer. If you build iOS apps, you cannot skip it, because Xcode and the simulator toolchain are macOS-only. If you write Rust, Go, Python or TypeScript and do not need Apple tooling, it still runs every one of those stacks happily.

The M4 chip pairs a 10-core CPU with a 10-core GPU, and owners report the machine staying near-silent even during sustained work. It weighs 1.5 pounds and measures 5 by 5 by 2 inches, which means it mounts behind a display with the included VESA bracket and disappears.

Three Thunderbolt 4 ports sit at the rear, two USB-C ports sit at the front, and there is an HDMI port and a 3.5mm headphone jack. The machine drives up to three external displays, configured as two 6K plus one 5K, which comfortably covers the ultrawide-plus-sidecar arrangement most developers settle into.

The honest limit is the base configuration. 16GB of unified memory and a 256GB SSD are fine for a web developer with a few projects; they are tight the moment you clone a monorepo, run a Postgres container and a browser full of tabs. The memory is soldered, so that ceiling is fixed for the life of the machine. Reviewers repeatedly flag the missing USB-A ports too, and the power button moved to the underside in this generation.

Skip it if your work includes x86-only toolchains, or if you need more than three displays, or if you want a discrete GPU on the desk. Otherwise it is the machine I would put on a desk without hesitating.

If your stack is not Apple-specific, the best Mac mini alternatives roundup covers the Windows and Linux boxes that hold the same footprint.

2. Beelink SER9 Max – Best Overall Windows Developer Box

If you want one machine that handles a Windows 11 host with a WSL or Hyper-V stack, a local container runtime and a decent integrated GPU without drama, this is the box I keep coming back to. The Ryzen AI 7 H 350 gives you 8 cores and 16 threads boosting to 5.0GHz, which is the sweet spot for parallel compilation where more cores beat faster single-core speed.

The memory configuration is the headline: 32GB of DDR5 running at 7500 MHz, expandable to 256GB, in replaceable modules rather than a soldered block. That single detail is what makes this a long-term platform. Add a second NVMe drive later and the machine becomes a comfortable home-lab node as well as a desktop.

Connectivity is unusually good for the size. You get 10Gbps Ethernet, 2.4Gbps WiFi 6, USB4 at 40Gbps, USB-C at 10Gbps, HDMI 2.1 and DisplayPort 1.4, with support for three displays. The 10Gbps port matters more for developers than it sounds, because spinning up a multi-gigabyte container image or cloning a repository over the network is a real bottleneck at 1Gbps.

Thermals are the quiet story. Owners describe the chassis as cool to the touch with noise as low as 32dB, and reviews consistently praise sustained performance across number crunching, emulation and local AI work. The Radeon 860M iGPU is a step above entry-level and handles design tooling and 4K video work without complaint.

The reservation is first-boot friction. Some machines arrive needing AMD software reinstalled, and reviewers note that the BIOS does not always expose full memory or iGPU carve-out tuning. A minority of reviews trace random reboots to the bundled power adapter, which the manufacturer resolved by replacement.

Skip it if you need a discrete GPU for 3D rendering, or if you want the absolute quietest possible machine for a shared office. It comes with a three-year warranty, which is more than most rivals offer.

3. KAMRUI Pinova P2 – The Cheapest Usable Entry Point Into Coding

Not everyone building software needs a Ryzen AI chip. The Pinova P2 is what a student, a first-year bootcamp graduate or a developer on a tight allowance should buy, and it holds a 4.4-star average across more than 2,000 owner reviews, which tells you the value proposition lands.

The Ryzen 3 7330U is a Zen 3 part with 4 cores and 8 threads boosting to 4.3GHz, paired with 8MB of L3 cache and a 15W efficiency target. In practice that is enough for VS Code, Node.js, Python services, Go builds and light container work, provided you are not running a dozen services at once. The whole machine draws 28W.

Storage is the surprise. You get a 256GB M.2 SSD plus two expansion slots, one M.2 2280 PCIe 3.0 and one M.2 2280 SATA, taking total capacity to 4TB. For a coder, a fast secondary NVMe holding node_modules, container layers or build artifacts is the single best-value upgrade on this machine.

Display output is the other reason to like it: HDMI 2.0, DisplayPort 1.4 and a USB-C port with DisplayPort Alt Mode drive three 4K panels at 60Hz simultaneously. Few machines at this tier manage that, and dual-monitor support is one of the most common developer requirements. Networking is Gigabit LAN with dual-band WiFi and Bluetooth, and a VESA mount is in the box.

Two things will age badly. The 16GB of LPDDR4X is soldered, so a 16GB ceiling is permanent. And the Vega-class integrated graphics handle light 3D work and media decoding but nothing more ambitious. Ratings cluster around 75% five-star, with the residual complaints tied to support responsiveness and memory limits rather than raw speed.

Skip it if you plan to run Kubernetes locally, a database cluster and a heavy IDE at the same time. Sixteen gigabytes will not hold all of that comfortably.

4. GMKtec M2 Pro S – Best Value When You Want to Add RAM Later

This is the machine to buy when you know that 16GB is a starting point rather than a destination. The 16GB ships as dual-channel DDR4 SODIMM in two replaceable slots, expandable to 64GB, which means you can move to 32GB in about two minutes with a screwdriver when your container stack outgrows it.

The Core i7-1185G7 is an 11th-generation part with 4 cores and 8 threads up to 4.8GHz, 12MB of cache and a 35W envelope, paired with Iris Xe graphics. It will not compete with the Ryzen AI parts on multi-core throughput, but for a single service, an IDE and a browser it is quick, and single-core responsiveness stays good because the chip is not thermally constrained.

Storage is generous for the tier: a 1TB M.2 2280 NVMe PCIe 3.0 drive plus an M.2 2242 SATA slot for expansion to 2TB. Display output is two HDMI ports at 4K@60Hz plus one USB-C at 4K@60Hz, so three 4K panels are possible, and owners report driving an ultrawide plus a secondary 4K display reliably. Networking is 2.5Gbps LAN with WiFi 6 and Bluetooth 5.2.

Auto Power On and Wake on LAN make it a competent small server, and the VESA mount is included. Owners replacing aging desktops describe a quiet, fast experience with plenty of headroom for compilers and multiple monitors.

The caveat that catches people is Secure Boot is disabled by default and needs a BIOS change before Microsoft security updates arrive. Port scarcity is the second most common gripe, with several owners adding a hub. One reviewer also reported a deep-sleep wake problem on a related configuration, so if you plan to run this as a 24/7 box, test that first.

Skip it if you want the newest platform, a modern NPU, or quiet confidence that your RAM ceiling will not matter in three years.

5. GEEKOM A9 Max – The Local AI Workstation With Four Screens

If your work involves running models on your own hardware rather than calling an API, the A9 Max is the most interesting Windows machine here. The Ryzen AI 9 HX 470 provides 12 cores and 24 threads up to 5.2GHz with up to 86 TOPS of AI acceleration, including an XDNA 2 NPU rated at 55 TOPS. That NPU is what makes local inference of multimodal and smaller language models practical.

It also happens to be a genuinely strong compiler machine. Twelve Zen 5 cores is more parallel headroom than anything else in this roundup on Windows, and that translates directly into shorter times on large monorepo builds, .NET solution compiles and parallel test suites. A data scientist parsing large files gets the same benefit.

Memory is 32GB of DDR5 at 5600 MHz, expandable to 128GB, in modules you can replace later. Storage is 2TB with dual PCIe Gen4 NVMe slots, one M.2 2280 and one M.2 2230, taking capacity to 8TB.

Display and networking are where this machine separates itself. It supports up to four independent displays with 8K output, uses USB4, dual HDMI 2.1 and dual 2.5GbE LAN, and adds WiFi 7 and Bluetooth 5.4. Four screens means the main code window, a terminal, a browser with a dozen tabs and a dashboard, all at once, without a dock in the chain. The Radeon 890M is strong enough for 1080p gaming and 4K creative work as a side benefit.

Buyers treat it as an enterprise-adjacent AI workstation, and the main reservations are cost and limited front I/O, with only two USB ports listed in the specification. Reviews also note that heavy sustained loads benefit from Performance mode and decent airflow around the all-metal chassis, which is 1.67kg and measures 5.32 by 5.2 by 1.8 inches.

Skip it if you only need a code editor and a browser, or if the cost of the top tier is not justified by what you actually run. Genuine Windows 11 comes preinstalled with TPM 2.0 and a three-year warranty, which is the longest support commitment in the group.

6. BOSGAME M5 – 128GB Unified Memory for Very Large Local Models

This is the odd one out, and it is odd in a way that matters for a specific kind of developer. The Ryzen AI Max+ 395 gives you 16 Zen 5 cores and 32 threads at 5.1GHz, 64MB of L3 cache and 126 TOPS of total AI compute including a 50 TOPS NPU. The Radeon 8060S iGPU carries 40 RDNA 3.5 compute units and can draw up to 96GB from a shared memory pool.

That last point is the reason to own it. With 128GB of LPDDR5X at 8000 MT/s shared with the GPU, owners report running language models with 70 billion-plus parameters entirely on the machine. No cloud credits, no queue, no data leaving the desk. If you are fine-tuning, running retrieval pipelines or doing local batch inference, nothing else in this roundup touches that class of workload.

Storage is a 2TB PCIe 4.0 SSD plus a second M.2 slot, taking you to 8TB or a RAID array. Output is quad 8K@60Hz across HDMI 2.1, DisplayPort 1.4 and dual USB4, with 2.5GbE LAN, WiFi 7 and Bluetooth 5.4. The chassis is 1.34kg and owners often report never hearing the fan.

Now the honesty part. One long-term owner replaced the factory Windows install with Linux and reported the machine came completely alive, with the same reviewer finding AAA titles unplayable under Windows but smooth on Linux. Another review reported a machine powering off randomly and needing a full power cycle, and listing details on storage and memory channels have not always matched the configuration that arrived. The 4.2-star average with 69% five-star reflects that split: strong satisfaction for the people who know what they bought, real friction for the people who expected a fast Windows desktop.

Skip it unless local model inference is your actual job. Also check the OS assumption before buying, because this machine behaves very differently under Linux than under Windows. For emulation-focused setups we have a separate roundup on the best mini PCs for emulation.

7. BOSGAME E5 11 Pro – The Homelab Favourite With Twin 2.5GbE

Not every mini PC is a desktop. Some are compact servers, and this is the one I would put on a shelf next to a router. Dual 2.5GbE LAN ports from a Realtek RTL8125 controller are unusual at this tier, and they are exactly what you want for a Proxmox host, a firewall box, or a NAS-adjacent machine where one port bridges traffic and the other handles storage traffic.

The processor is a Ryzen 3 5300U with 4 cores and 8 threads up to 3.8GHz and 6MB of cache. That is enough to run a LAMP stack, a container runtime or several lightweight virtual machines, and it is not enough to run a dozen heavy ones alongside a development IDE. Storage and memory are both upgradeable: 8GB DDR4 in dual SODIMM slots expandable to 64GB, and a 256GB M.2 2280 NVMe drive with a second empty slot taking you to 2TB.

Display output covers three 4K@60Hz panels through HDMI 2.0, DisplayPort and a full-function Type-C port, and the front USB-C handles 10Gbps data, DP video and PD 3.0 power delivery. Running under 25dB with copper heat pipes, it comes with clean preactivated Windows 11 Pro, no bloatware, and a VESA mount.

Sentiment is solid at 72% five-star, with the 8GB base configuration the most common reservation from power users. My advice is to treat the memory as a mandatory first upgrade, and I have written up the virtualization-specific picks in our guide to the best mini PCs for Proxmox.

Skip it as a primary development machine. The 4-core chip will feel the drag on a large build, and 8GB is below the floor for a modern IDE plus a browser plus containers.

8. GMKtec M6 Ultra – The 32GB Dual-Channel Sweet Spot

If you want the most common developer configuration in one box, this is it: 32GB of dual-channel DDR5 out of the box, a 1TB NVMe drive, and a six-core Zen 4 processor that is still comfortably quick. The 2x16GB SODIMM layout is replaceable, which is rare for a machine configured at 32GB, and the marketing claims an upgrade path to 128GB even though the listed maximum is 32GB, so verify the ceiling for yourself before planning a large upgrade.

The Ryzen 5 7640HS gives 6 Zen 4 cores and 12 threads, 4.3GHz base up to 5.0GHz turbo, and reviews note roughly 30% more performance than the 6800H and 6600U generation. Six cores is the practical minimum today for a developer who wants parallel compilation without waiting, and this chip hits that bar without the thermal profile of an HX-class part.

The USB4 port is the quiet hero. It drives 8K@60Hz output and handles docking over a single cable, which means a clean one-cable desk setup with two monitors, Ethernet, keyboard, mouse and storage all through one port. HDMI 2.0 and DisplayPort cover the other two displays, and 2.5GbE LAN makes the box viable as a small server or router appliance.

Storage is a 1TB M.2 2280 PCIe drive with dual slots expanding to 8TB of PCIe 4.0, and the Radeon 760M carries hardware AV1, HEVC and AVC encode and decode, which speeds up video-related pipelines. The honest limits are the entry-level 760M graphics, which cap AAA gaming at moderate settings, and a 12% one-star share that reflects early quality-control variance rather than capability complaints.

Skip it if you need strong integrated graphics for 3D work or local rendering, or if you want the quietest machine possible for a shared office.

9. Beelink SER8 – A Tiny Workstation Built for Three Monitors

The SER8 is the quiet alternative to the SER9 Max, and for a lot of developers it is the more rational pick. The Ryzen 7 8745HS gives 8 cores and 16 threads up to 4.9GHz with 16MB of cache, and the Radeon 780M iGPU has 12 cores at 2600 MHz with 4K 240Hz video playback. That is a well-balanced chip: enough cores to keep a large build busy, a GPU that handles design software without complaint, and a power profile that stays cool.

Owners describe it as running productivity and coding workloads smoothly with no setup troubleshooting, staying cool to the touch and quiet even with three monitors attached. Memory is 32GB of DDR5 at 5600 MHz expandable to 256GB, and there are dual NVMe slots for up to 8TB combined, so the machine keeps growing with your work.

Display output covers HDMI, DisplayPort and a USB-C port that is USB4 40Gbps with power delivery and DP 1.4, and it can be powered over USB-C for a portable workstation setup. Networking is 2.5Gbps RJ45, and there are two USB 3.2 Gen2 and two USB 2.0 ports plus audio jacks. The chassis is machined anodized aluminium with three-year factory support, and reviews call out the build quality holding up to being carried around.

The connectivity gaps are the top-rated con: no Oculink, and USB4 rather than native Thunderbolt 4, so external GPU enclosures are effectively off the table and hubs are frequently needed. A small number of owners reported progressive failures including watchdog blue screens and CRC errors within a year, and some experienced random shutdowns traced to the bundled power brick, which the manufacturer has previously resolved by replacement.

Skip it if you plan to attach a desktop GPU, or if you need more than a couple of USB-A peripherals without a hub. If silence in a shared room is a hard requirement, our picks for the best fanless mini PCs are a better direction.

10. GMKtec Nucbox G10 – The Smallest Desk Footprint Here

The G10 is the pick when desk real estate is the problem. At 3.86 by 1.65 by 4.06 inches it disappears behind a monitor, and it draws 25W. For a developer doing web work, scripting, documentation and light tooling, that footprint-to-capability ratio is hard to argue with.

Inside is a Ryzen 5 3500U with 4 cores and 8 threads up to 3.7GHz on Zen+ 12nm, Radeon Vega 8 graphics at 1200 MHz, 16GB of dual-channel DDR4 in 2x8GB upgradeable to 32GB, and a 512GB PCIe 3.0 NVMe drive with dual M.2 2280 slots supporting up to 2x8TB. Owners report roughly 35% faster performance than Intel N150 and N100 class chips, which is a meaningful gap for entry-level machines.

Display output is three 4K@60Hz panels through HDMI 2.1 TMDS, DisplayPort 1.4 and USB-C, and networking is 2.5GbE RJ45 with WiFi 5 and Bluetooth 5.2. The VESA mount is included. Triple output plus 2.5GbE also makes it a reasonable trading dashboard or monitoring box, not just a coding machine.

The compromises are generational. Zen+ 12nm has no NPU, so on-device AI features are out of reach, and the Vega 8 iGPU is adequate for media decoding and light gaming but nothing beyond that. Storage is the other limit: 512GB fills quickly with large repositories, container images or node_modules, though the dual slots mean a cheap fix. Sentiment is positive but measured at 68% five-star, reflecting the older chip and modest capacity rather than build quality.

Skip it if you run large monorepos, local databases or any container stack that needs more than a few gigabytes. The 32GB memory ceiling is also a hard stop in a few years.

Docker, VMs and Containers: How Much RAM You Actually Need

Every mini PC roundup mentions containers and virtual machines, almost none quantify them, and yet this is the decision that actually determines whether you need 16GB or 64GB. Here is the budgeting I use, based on what the tools report at steady state rather than on their install footprint.

A single JetBrains IDE instance with a large project loaded typically settles at 2GB to 4GB, and a browser with 30 or more tabs is a comparable 2GB to 3GB on its own. Add a second instance, a language server, and the OS, and you are near 10GB before you write a line of application code. This is why 16GB feels tight almost immediately and why 32GB is the practical floor for a working developer in 2026.

Containers are cheaper per unit but they add up. A typical web stack, database, cache and queue runs about 1GB to 2GB per service, so a five-service Compose file lands around 6GB to 10GB before the IDE. Virtual machines are the expensive case: a lightweight Linux VM runs 2GB to 4GB, a Windows VM 6GB or more, and a Kubernetes control plane with three or four worker nodes is 12GB to 20GB on its own.

Local model inference is the outlier. Running smaller models comfortably needs 16GB of system memory, and larger models need far more, which is the entire reason the BOSGAME M5 exists in this roundup with 128GB of shared LPDDR5X.

The practical decision: buy 16GB only if you are running a single service and a single IDE. Buy 32GB if you run containers, a local database or a couple of browsers alongside your editor. Buy 64GB or more if you run VMs, Kubernetes or local models. Above all, make sure the memory is in replaceable SODIMM slots, because that choice is the one you cannot undo later. A 16GB soldered machine is a 16GB machine for the rest of its life, and that is the most common regret developers report on forums.

How to Choose a Mini PC for Software Development

CPU cores and single-core speed

Both numbers matter, and they matter for different jobs. Single-core speed governs how responsive your editor, language server and test runner feel. Core count governs how fast a parallel build finishes. If you compile C++, Rust, Go or .NET, or you run a monorepo build, buy cores: 6 is the practical minimum in 2026 and 8 to 12 is comfortable. If you write web front end and never compile, single-core speed matters more and a 4-core chip is defensible.

RAM: 16GB vs 32GB vs 64GB

Treat 32GB as the modern default for development rather than an upgrade. The deciding factor is whether the memory is replaceable. Two DDR5 SODIMM slots that accept 64GB or more per module give you a machine that can absorb a heavier toolchain in three years. A soldered LPDDR5X block gives you whatever shipped, and that is the ceiling.

Soldered LPDDR5X vs replaceable DDR5 SODIMM

This is the single most common forum complaint about mini PCs, and it deserves its own heading because it is the one decision that is irreversible. Soldered memory is fine when you know exactly what you need. It is a bad surprise when your team grows, when an IDE adds a heavier language server, or when you decide to run a local database and a container stack together. Check the specification, not the marketing phrase, before you buy.

Storage and the second M.2 slot

Buy at least 1TB, and buy the machine with a second M.2 slot. Developers accumulate three separate categories of storage that behave differently: source repositories, container and image layers, and build artifacts. When one drive handles all three, random read and write patterns slow your whole workflow down. A cheap secondary NVMe drive solves it, but only if a slot exists.

Display outputs and multi-monitor math

Count physical outputs, not marketing claims. Most of these machines can drive three 4K panels at 60Hz, but only some can drive three at full refresh with all their bandwidth, and high-refresh ultrawides reduce that count. Check that the ports are independent rather than mirrored. The Mac mini drives two 6K plus one 5K. The GEEKOM A9 Max and BOSGAME M5 drive four displays with 8K output. Several of the budget boxes drive three 4K panels, which is still perfectly good for a code window, terminal and browser.

If you plan to use a USB-C dock rather than direct HDMI, verify the USB-C port supports DisplayPort Alt Mode and data at the same time. Ports on these machines vary a lot even within the same product name, so the listing you read may not match the machine you receive.

Networking, USB4 and Oculink

2.5GbE LAN is close to standard now and it is worth having: cloning a repository or pulling a multi-gigabyte container image over 1Gbps is a real wait. USB4 at 40Gbps gives you single-cable docking and, on some models, 8K video output. Oculink is the one to check before buying if you plan to run machine learning, because it is the only widely supported way to attach a desktop GPU to a mini PC, and most models simply do not have it.

Thermals, fan noise and sustained compiles

Slim HX-class chips and workstation mini PCs run their fans hard during long builds. The question is not whether noise exists but whether the machine throttles while making it. Reviews across this roundup repeatedly praise the cooling on the Beelink and GEEKOM machines, and the fanless designs we cover separately in our best fanless mini PC guide trade peak throughput for silence. If you run unattended overnight builds, check the acoustic and thermal behaviour rather than trusting a wattage figure.

ARM vs x86 developer toolchains

Apple Silicon machines run macOS, and Rosetta-style translation means a large x86 toolchain already works on the Mac mini. Native ARM Linux hardware raises more questions: Docker images need multi-architecture builds, some binary-only SDKs have no ARM build, and a handful of toolchains still lag behind. If your team standardises on x86 Docker images or a Windows-only build pipeline, an x86 Ryzen or Core Ultra box removes that entire category of friction.

Barebones kits versus complete systems

A barebones kit looks cheaper on the listing, then you add RAM, an NVMe drive and a Windows licence before it boots. Do that arithmetic before you compare it against a complete system, because on many mini PCs the finished configuration ends up close to or below the barebones-plus-parts total. Community developers often prefer barebones anyway, on the grounds that the memory and drives supplied in finished builds are of questionable quality and they are going to replace them immediately.

Mini PC or Laptop for Programming?

A mini PC wins on sustained performance, upgradeability and desk tidiness, because the chassis runs cooler without the constraints of a battery and a thin lid. A laptop wins on portability, battery-backed operation and the single-cable setup, and it is the only option if you code from more than one place.

The forum consensus is increasingly a hybrid: a mini PC as the fixed desk machine, with a laptop for travel that connects to the same code, the same containers and the same displays. That split also solves the upgrade worry, because the desk machine is the one you can open up and extend with more memory and storage.

Frequently Asked Questions

Final Verdict: The Best Mini PCs for Software Development

If you build iOS apps, or you simply want the machine that gets out of the way, the Apple Mac mini M4 is the answer and nothing else competes. If you are on Windows or Linux and want the strongest all-round developer box, the Beelink SER9 Max wins on core count, memory speed, replaceable 32GB DDR5 and sustained-load quietness.

Buy the KAMRUI Pinova P2 if you are starting out or working on a student budget. Buy the GMKtec M2 Pro S if you want the cheapest path to more memory later, and the GMKtec Nucbox G10 if desk space is the constraint. Choose the GEEKOM A9 Max when you need 12 cores, four displays or on-device AI acceleration, and the BOSGAME M5 when you are running very large models locally. The BOSGAME E5 11 Pro and its twin 2.5GbE ports belong on a homelab shelf rather than a desk, while the GMKtec M6 Ultra and Beelink SER8 cover the mainstream 32GB, multi-monitor middle.

Whichever one you pick, check two things before you commit: that the memory is replaceable, and that it has a second M.2 slot. Those two details decide whether the machine still suits you in 2026.