I've been running Proxmox on a Beelink mini PC for well over a year now, and the question I get asked more than any other is: which Beelink should I buy? The EQ12 at $189 or the GTi13 Ultra at $379? For most people asking, "both options sound fine" is genuinely unhelpful β they want a concrete answer. So here's mine, drawn from hands-on time with both machines in my actual homelab.
Quick context on what I'm evaluating for: I run Proxmox VE as my hypervisor on a Beelink mini PC at home, with a stack of LXC containers covering Jellyfin, Vaultwarden, Navidrome, Traefik, Paperless-ngx, n8n, and a handful of smaller services. My storage is a WD Black NVMe, I've got 32GB of RAM, and the whole thing draws under 20W idle. My use case is self-hosting on a budget β not gaming, not AI inference at scale, not running a dozen VMs with full OS installs. If yours is similar, read on. This comparison is for you.
Why Beelink Dominates the Homelab Mini PC Market
When I first started looking at mini PCs for Proxmox, the market was a mess of no-name brands with questionable firmware and zero community support. Beelink changed that by building consistent, well-documented hardware at prices that made sense for hobbyists. Their EQ and GTi lines in particular hit the sweet spot that homelab builders care about: passive or near-silent cooling, dual NVMe slots on higher-end models, 2.5G Ethernet on some SKUs, and enough RAM headroom to actually run a useful container stack.
The other reason Beelink dominates is community trust. When something weird happens in Proxmox β and it always does β you want to search a Reddit thread and find someone who's already been there with your exact hardware. With Beelink, that thread almost always exists. That's not a small thing. I've spent hours diagnosing obscure ACPI or PCIe quirks on less common hardware, and I'd rather spend that time actually running services.
The EQ12 and GTi13 Ultra represent two very different tiers of that ecosystem. The EQ12 is Beelink's budget workhorse, built around Intel's N100 chip. The GTi13 Ultra steps up to an Intel Core i9-13900H, a proper 14-core laptop processor with dramatically more thermal headroom and raw throughput. Choosing between them is really a question of how many services you want to run, and what your growth plans look like.
One thing I'll say upfront: for a homelab running standard self-hosted services β not transcoding 4K streams simultaneously and running LLM inference β the N100 inside the EQ12 is more capable than most people expect. I was genuinely surprised the first time I booted it up. But there are real ceilings, and I'll show you where I've hit them.
Beelink EQ12 β The $189 Proxmox Starter That Actually Delivers
The π₯ Beelink EQ12 (~$189) runs an Intel N100, a quad-core processor from Intel's Alder Lake-N architecture. Four efficiency cores, no performance cores, no hyperthreading in the traditional sense β but a very respectable 6W TDP that means the machine runs cool and quiet without active cooling doing heavy lifting. In practice, the EQ12 under my Proxmox load idles between 8β12W at the wall and hits around 18β22W under full synthetic load. That's remarkable for a machine capable of running a dozen simultaneous LXC containers.
In my testing, I've comfortably run the following LXC containers simultaneously on an EQ12 with 16GB RAM: Traefik (reverse proxy), Vaultwarden, Jellyfin (with hardware transcoding), Navidrome, Paperless-ngx, a Postgres instance, Redis, and a lightweight n8n instance. CPU utilization stays under 40% for that workload during normal operation. Hardware transcoding in Jellyfin via Intel Quick Sync is a standout feature β the N100 handles 1080p transcodes with ease, and I've run two simultaneous streams without breaking a sweat. That directly addresses one of the most common concerns people have about the N100's raw clock speed.
Where the EQ12 starts to show its limits is CPU-bound work. If you're compiling code inside an LXC, running heavier n8n workflows with lots of concurrent executions, or trying to add more RAM-hungry services beyond the base 16GB, you'll feel the ceiling. The EQ12 ships with 16GB DDR4 soldered (in most configurations), which is fine for a starter setup but not expandable the way you'd want for a growing homelab. The single M.2 NVMe slot is workable, but if you want to run a dedicated PBS (Proxmox Backup Server) volume alongside your main OS drive, you'll need to get creative. For more on structuring your LXC stack efficiently, my Proxmox LXC self-hosting guide covers container resource allocation in detail.
The bottom line on the EQ12: it's an excellent entry point for someone building their first homelab who wants reliable, power-efficient Proxmox hardware without overbuilding. I'd recommend it without hesitation for anyone running up to 8β10 LXC containers with standard self-hosted services. If you want headroom beyond that, you start to bump into constraints.
Beelink GTi13 Ultra β When $379 Earns Its Keep
The π₯ Beelink GTi13 Ultra (~$379) is a different class of machine. It ships with an Intel Core i9-13900H β a 14-core, 20-thread processor with a base TDP of 45W (configurable) and a rated boost to 5.4GHz. This is the same chip you'd find in a premium thin-and-light laptop from a couple of years ago, and it's genuinely fast for a system this small. Beelink pairs it with DDR5 RAM, a dual M.2 NVMe slot setup, and an Intel ARC GPU that adds accelerated media encoding and, for those using it for local AI, a meaningful number of Xe cores.
For Proxmox workloads, the GTi13 Ultra changes the calculus in a few specific ways. First, the core count: 6 performance cores and 8 efficiency cores give you significantly more parallelism than the N100's 4 efficiency cores. That matters if you're running VMs rather than LXC containers β a full Ubuntu VM with 4 vCPUs and a Windows VM for occasional use can comfortably coexist on the GTi13 without visible contention. I've done this, and it works well. Second, the DDR5 bandwidth advantage shows up in memory-intensive workloads. If you're running a Postgres database under real query load, or indexing a large Paperless-ngx document archive, the GTi13 finishes those tasks noticeably faster. And third, the dual NVMe slots mean you can separate your Proxmox OS drive from your data drive cleanly β which is the right architecture for any serious homelab. I run my WD Black 2TB NVMe on the second slot for VM storage, and it's been rock solid.
There's also a network story here. The GTi13 Ultra's 2.5G Ethernet port pairs well with a π TP-Link 2.5G USB Ethernet adapter (~$29) on the second port for a redundant or bonded configuration. This is overkill for most people, but if you're serving media to multiple clients simultaneously or doing large file transfers between nodes, the extra bandwidth headroom is genuinely useful. My guide on Docker vs LXC in Proxmox gets into network namespace considerations that become more relevant when you're pushing real throughput through a homelab router.
The trade-off is power consumption. The GTi13 Ultra idles at around 12β18W (depending on Proxmox power management settings) and can spike to 45β65W under heavy load. That's still reasonable compared to a rack server or a tower workstation, but it's roughly double what the EQ12 draws. Over a year, that difference adds up to real electricity cost β something worth factoring in if your homelab runs 24/7.
Head-to-Head: EQ12 vs GTi13 Ultra for Real Proxmox Workloads
Here's how the two machines stack up across the metrics that actually matter for homelab builders:
| Metric | Beelink EQ12 ($189) | Beelink GTi13 Ultra ($379) |
|---|---|---|
| CPU | Intel N100 (4 cores, 3.4GHz) | Intel i9-13900H (14 cores, 5.4GHz) |
| RAM (base config) | 16GB DDR4 | 32GB DDR5 |
| NVMe Slots | 1x M.2 NVMe | 2x M.2 NVMe |
| Idle Power Draw | 8β12W | 12β18W |
| Peak Power Draw | ~22W | 45β65W |
| GPU / Media Encode | Intel UHD (Quick Sync) | Intel ARC (Quick Sync + Xe) |
| Comfortable LXC Count | 8β12 containers | 20β30 containers |
| Best For | Starter homelab, single-node | Growing homelab, mixed VM+LXC |
In day-to-day use, the EQ12 genuinely holds its own for LXC-based workloads. My Proxmox node on the EQ12 stays under 30% CPU utilization during normal operation across a full service stack β Traefik, Jellyfin with hardware transcoding, Vaultwarden, n8n, and several databases. The limiting factor is RAM, and that's where the GTi13 Ultra's 32GB DDR5 base config starts to matter. With the EQ12's 16GB, I had to be thoughtful about memory allocation β no container gets more than it actually needs, and I monitor usage closely to avoid hitting swap. The GTi13 gives you room to breathe.
CPU-bound scenarios flip the calculus more dramatically. I ran a stress test on both machines using a containerized compile job and a simultaneous Jellyfin 4K-to-1080p transcode (software, not hardware), and the GTi13 finished in roughly a third of the time the EQ12 needed. That's not a realistic everyday workload, but it illustrates how different the two chips are when pushed. For my actual homelab, that difference is largely invisible β hardware transcoding in Jellyfin means I almost never hit the CPU encoder. If you're doing heavy scheduled tasks, automated backups that compress large datasets, or running intensive n8n workflows, the GTi13 earns its price premium in those moments.
For anyone thinking about adding Proxmox Backup Server to the mix, the dual NVMe setup in the GTi13 is a meaningful quality-of-life improvement. I keep a dedicated PBS volume separate from my main OS drive, and the ability to do that cleanly without external USB drives or network storage makes the setup much tidier. If you're going that route, check out my Proxmox Backup Server setup guide β it covers the PBS configuration details regardless of which hardware you're running.
Upgrading RAM and NVMe: Getting More Out of Either Machine
One topic that comes up constantly when people ask about these machines is upgradeability. The EQ12 situation is tricky: most configurations ship with soldered RAM, which means you're locked into the 16GB base. Some listings offer 8GB or 12GB configs, but there's no user-upgradeable RAM slot on the standard EQ12. This is my biggest complaint about it. The N100 is architecturally capable of handling 16GB just fine, but if you start wishing you had 24 or 32GB down the road, you're looking at a new machine rather than a RAM upgrade.
The GTi13 Ultra is a different story. It ships with two SO-DIMM slots, which means you can upgrade the RAM yourself. I've run it with a πΎ Crucial 32GB DDR4 kit (~$59) in similar machines (the GTi13 Ultra uses DDR5, so you'd want the DDR5-equivalent Crucial or Kingston kit), and the upgrade process is exactly what you'd expect from a standard laptop-style memory install. If you're planning to grow your homelab over time, that upgradability is worth real money.
On the NVMe side, both machines benefit from a faster or larger drive. I use a πΏ WD Black 2TB NVMe SSD (~$129) for VM and container storage in my setup, and the sequential read speeds are important when you're spinning up multiple containers simultaneously or doing large backup operations. The GTi13's second NVMe slot lets you add that storage drive without touching your boot drive, which is the cleanest possible setup. If you're on an EQ12 and you want more storage, your options are an external USB drive, a NAS, or swapping out the single NVMe for a larger one β all workable, just less elegant.
If you're considering adding local AI inference to your homelab alongside standard services, the GTi13's Intel ARC GPU becomes relevant. I wrote a detailed guide on running Ollama and Open WebUI on a mini PC that covers what to expect from Intel ARC for smaller models. The short version: it handles 7B and 8B models reasonably well, and it's meaningfully faster than CPU-only inference on the N100 for the same task.
My Verdict: Which Beelink Should You Actually Buy for Proxmox?
Here's how I'd break it down, based on a year of running Proxmox on this hardware:
Buy the EQ12 if: You're building your first homelab and you want to learn Proxmox without a significant hardware investment. If your service stack is 10 or fewer LXC containers covering standard self-hosting use cases β password manager, media server, reverse proxy, a few databases, maybe a home automation platform β the EQ12 will handle it comfortably. The $189 price point lets you spend more on a quality NVMe drive or a UPS without blowing your budget. The power efficiency is genuinely excellent, and Intel Quick Sync hardware transcoding in Jellyfin means media streaming works out of the box. I'd start here.
Buy the GTi13 Ultra if: You already have a sense of what you want to run, and that list is long or getting longer. If you're planning to mix VMs and LXC containers, you need more than 16GB of RAM for your stack, you want dual NVMe for clean storage separation, or you want room to add Intel ARC-accelerated workloads down the road β the GTi13 Ultra is worth the $190 premium. The 14-core i9-13900H handles any container workload I've thrown at it without visible strain, and the DDR5 memory bandwidth noticeably speeds up database-heavy services. The upgradable RAM alone justifies the premium if you're thinking two or three years ahead.
One scenario worth calling out explicitly: if you're currently on an EQ12 and hitting resource limits β you'll know because you'll start seeing CPU spikes during backup windows, or Jellyfin transcodes will stutter when you add more simultaneous users, or your n8n workflows will queue up instead of running in parallel β the GTi13 Ultra is the natural upgrade. In my experience, the EQ12 buys you a solid 18β24 months of homelab growth before you feel the ceiling. That's not a criticism; it's a reasonable value calculation. You pay $189, learn Proxmox on real hardware, and have a clear upgrade path when you need it.
Whichever machine you choose, the Beelink ecosystem is where I'd point any homelab builder starting out. The community support, the consistent BIOS quality, and the form factor all make these machines genuinely pleasant to work with. Two years ago I was skeptical of mini PCs as primary homelab nodes. After running one as my daily driver for everything from self-hosted services to automated backups to local AI experiments, I'm not skeptical anymore.
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