Best Mini PCs for Developers in 2025 — Tested and Ranked
Mini PCs have quietly become serious development machines. The latest AMD Ryzen 9 chips hit Cinebench scores that would have been flagship desktop territory two years ago — except now they’re running in a box the size of a paperback book, pulling under 35W at load. If you’re spending eight-plus hours in VS Code, Docker, or a terminal, the choice between a mini PC and a laptop deserves a harder look than most people give it.
We’ve tested seven mini PCs specifically for developer workloads: compiling code, running multi-container Docker environments, Proxmox with three VMs, and local LLM inference with Ollama. Here’s what we found.
Quick verdict: The Minisforum UM890 Pro is the best overall — fast, runs cool, handles everything a developer needs. The Beelink SER8 is the best runner-up at a lower price. If your budget is tight, the GMKtec NucBox G7 delivers solid performance without the premium.
Our Top Picks at a Glance
| Mini PC | CPU | RAM / Storage | Best For | Price |
|---|---|---|---|---|
| Minisforum UM890 Pro | Ryzen 9 8945HS | 32GB / 1TB | Best overall | ~£499 |
| Beelink SER8 | Ryzen 7 8745HS | 32GB / 1TB | Best runner-up | ~£399 |
| GMKtec NucBox G7 | Ryzen 9 7940HS | 32GB / 1TB | Best value | ~£329 |
| Minisforum UM790 Pro | Ryzen 9 7940HS | 32GB / 1TB | Budget developer pick | ~£299 |
| Beelink Mini S12 Pro | Intel N100 | 16GB / 500GB | Lightweight CI/CD runner | ~£149 |
Best Overall Mini PC for Developers — Minisforum UM890 Pro
The Ryzen 9 8945HS in the UM890 Pro is the current sweet spot for developer workloads. It’s a 8-core/16-thread chip with a Zen 4 architecture, an integrated RDNA 3 GPU, and an NPU — which matters if you’re experimenting with local AI inference alongside your dev work. In Cinebench R23 multi-core, we recorded 15,840 points, which is genuinely competitive with desktop chips from two years ago.
What sold us wasn’t the benchmark though. It was the thermal behaviour. After running a Docker Compose stack with eight containers for four hours straight — Redis, Postgres, three microservices, and an Nginx proxy — the UM890 Pro stabilised at 68°C and never throttled. The fan was audible (about 35dB) but not distracting. That kind of sustained load behaviour is what separates developer machines from gaming machines.
RAM is 32GB LPDDR5x at 6400MHz. Running VS Code, Chrome with 15 tabs, a Node backend, and Docker simultaneously left us with about 14GB free. You won’t hit limits unless you’re running multiple databases and heavy containers simultaneously. Storage is a 1TB NVMe Gen4 — sequential read speeds above 5,000MB/s, which makes large project directory scans noticeably snappier than slower Gen3 drives.
Connectivity is thorough: two USB4 ports (40Gbps, one supports DisplayPort), two USB-A 3.2, an HDMI 2.1, a 2.5G Ethernet port, and a microSD slot. You can run three external monitors. The 2.5G Ethernet is the standout for developers — transferring a 10GB Docker image over 2.5G LAN versus 1G makes a real difference in a home lab setup.
Pros and Cons
[rehub_pros_cons pros=”Ryzen 9 8945HS handles any developer workload without throttling|32GB LPDDR5x RAM — enough for Docker + IDE + browser simultaneously|USB4 x2 enables fast external storage and dual monitor|2.5G Ethernet — huge for home lab file transfers|NPU onboard for local AI inference experiments” cons=”More expensive than previous-gen equivalents|Fan noise is noticeable under sustained load|No internal GPU — not for GPU compute workloads”]Best Runner-Up — Beelink SER8
The SER8 uses the Ryzen 7 8745HS — one step down from the UM890 Pro’s chip, but the performance gap in developer workloads is smaller than you’d expect. In our compile tests (a 60,000-line TypeScript project), the SER8 was about 12% slower than the UM890 Pro. For most developers, that’s not a meaningful difference day-to-day. What is meaningful: the SER8 typically costs £70–100 less.
Thermals are slightly less impressive — we saw temperatures around 78°C under the same sustained Docker load that kept the UM890 Pro at 68°C. No throttling though. The fan spins faster to compensate, sitting around 38dB under load. Not a problem at a desk with headphones, potentially noticeable in a quiet home office without them.
It’s the better choice if you’re not running local AI models and don’t need the NPU, or if you’re deploying it as a home lab node where noise doesn’t matter. The SER8’s port selection is similar to the UM890 Pro with one fewer USB4 port (one instead of two).
Pros and Cons
[rehub_pros_cons pros=”£70–100 cheaper than UM890 Pro for similar performance|Still handles Docker, VS Code, and multi-VM Proxmox|Solid build quality typical of Beelink” cons=”No NPU — skip if local AI inference matters|Higher thermals under sustained load|One fewer USB4 port”]Best Value — GMKtec NucBox G7
The NucBox G7 runs the Ryzen 9 7940HS — last generation’s top chip, not this generation’s. In practice, the 7940HS is still extremely capable. It scored 13,100 in Cinebench R23 MT in our testing, handles Docker comfortably, and compiles code fast enough that you won’t feel like you’re waiting on the hardware. The Zen 4 cores in the 7940HS outperform the Zen 3 chips in older budget picks by a significant margin.
At around £329 for 32GB/1TB, it’s meaningfully cheaper than either Minisforum or Beelink option. For freelancers, students, or developers building out a home lab on a budget, the trade-offs — slightly older architecture, Gen3 NVMe instead of Gen4 — are easy to accept.
What Specs Actually Matter for Development?
CPU — The Most Important Factor
For development workloads, multi-core performance is what you’re optimising for. Compilation, bundling, test runners, and container builds all scale with core count and IPC. The AMD Ryzen 8000 and 7000 series (Zen 4 architecture) offer the best combination of performance and efficiency in the current mini PC market. Avoid Intel N-series chips (N95, N100) for serious development — they’re fine for light tasks but will bottleneck under any sustained load.
RAM — 32GB Is the New Minimum
16GB is survivable if you run a lean setup. It’s not comfortable. A typical developer environment with VS Code, a browser for docs, a terminal, and one or two Docker containers will use 10–12GB. Add a database container, a test runner, and a second browser profile, and 16GB becomes a bottleneck. 32GB removes that anxiety entirely and is worth the extra £30–50 on any machine you’ll use daily.
The key detail: almost every mini PC in this range allows RAM upgrades. The slot configuration (SO-DIMM vs. LPDDR soldered) varies by model — check before buying if upgrading later is your plan. The Minisforum UM890 Pro and Beelink SER8 use soldered LPDDR5x, meaning what you buy is what you get.
Storage — NVMe Speed Matters More Than Capacity
For development, storage speed affects everything from project directory scans (VS Code indexing) to Docker image pulls to compilation caching. A Gen4 NVMe drive reads at 5,000+ MB/s versus a Gen3’s 3,500 MB/s — and against an older SATA SSD’s 550 MB/s, the difference is dramatic. 1TB is the practical minimum for a primary development machine if you’re storing container images and multiple projects.
Which Mini PC Is Best for Running Docker?
Any of the Ryzen 8000 or 7000 series machines in this list will handle Docker comfortably. The practical differentiation comes down to RAM (32GB lets you run more containers) and network speed (2.5G Ethernet accelerates inter-container network traffic in complex setups). For detailed Docker-specific picks and container density benchmarks, see our full guide to the best mini PC for Docker.
Can You Run Proxmox on a Mini PC?
Yes, and it works well. Mini PCs with 32GB RAM can comfortably run three to four lightweight VMs simultaneously (an Ubuntu server, pfSense, a container LXC, and a Windows VM for testing). The UM890 Pro’s dual 2.5G Ethernet (one onboard, one via USB adapter) is particularly useful here. For a full breakdown of Proxmox performance and VM capacity by model, see the best mini PC for Proxmox.
Can You Run Local AI Models on a Developer Mini PC?
With the right chip, yes. The Minisforum UM890 Pro’s Ryzen 9 8945HS includes an NPU rated at 16 TOPS, which accelerates inference for smaller models. Using Ollama on the UM890 Pro, we ran Llama 3.1 8B at around 12 tokens per second — usable as a coding assistant, not fast enough for high-volume production use. For a step-by-step setup guide and model recommendations, see how to run a local LLM on a mini PC.
Mini PC vs MacBook for Development
The comparison that most developers actually care about. A MacBook Pro M3 is a legitimately excellent development machine — great performance, long battery life, unified memory architecture that handles large RAM allocations efficiently. The case for a mini PC isn’t that it beats an M3 Mac at every workload; it doesn’t. The case is cost and flexibility.
For £499, the UM890 Pro offers comparable multi-core performance to an M3 Pro MacBook (roughly equivalent Cinebench scores, though the Mac’s neural engine is significantly faster for ML). The MacBook costs £1,799+ for the M3 Pro. If you already have a monitor, keyboard, and mouse — and you don’t need to work away from your desk — the mini PC argument is straightforward. If portability matters, the Mac wins.
FAQ — Mini PCs for Developers
How much RAM do I need in a developer mini PC?
32GB is the current practical minimum for a comfortable developer setup running VS Code, Docker containers, and a browser simultaneously. 16GB works for lighter workloads but becomes a bottleneck once you’re running multiple containers or large language servers.
Can a mini PC replace a MacBook for development?
For desk-based development, yes — and at a fraction of the cost. You lose portability and Apple’s unified memory architecture for ML workloads. You gain flexibility, upgradeability, and the ability to run any OS natively. For developers who primarily work at a desk with a monitor, a mini PC is a compelling alternative.
What’s the best cheap mini PC for programming?
The GMKtec NucBox G7 at around £329 offers the best balance of performance and price for developers on a budget. It runs the Ryzen 9 7940HS with 32GB RAM and handles Docker, compilation, and multi-VM Proxmox without major bottlenecks.
Can I run Docker on a mini PC?
Yes. Any mini PC in this list with 32GB RAM and an AMD Ryzen 7000+ chip handles Docker well. Docker on Windows (via WSL2) or native Docker on Linux both work correctly. For container-heavy workflows, prioritise 2.5G Ethernet and 32GB RAM over CPU generation differences.
Is a mini PC good for a home lab?
Mini PCs are excellent home lab machines — low power draw (35–55W under load versus 200W+ for a tower), small footprint, and quiet enough to live in a home office. The Minisforum UM890 Pro and Beelink SER8 both run Proxmox reliably. See our dedicated guide to the best mini PC for Proxmox for specific VM capacity benchmarks.