u/ShishRobot2000

Hi everyone, I recently bought a used Alienware x16 R2 and I’d like to know if the price was good.

Specs:

Alienware x16 R2

Intel Core Ultra 9 185H

NVIDIA RTX 4090 Laptop GPU, 16 GB VRAM

32 GB RAM

2 × 1 TB SSD, around 2 TB total

16" QHD+ 2560×1600 display, 240 Hz, G-SYNC

Original Dell 330W charger

US keyboard layout

No original box

Warranty expired

Some visible cosmetic marks on the lid

I paid 1800€ for the laptop, around 1860€ total including Wallapop buyer protection/shipping.

Before buying, I checked the Dell Service Tag, the original Dell configuration CSV, GPU-Z, 3DMark results, and a GPU-Z sensor log. Everything seems to match: RTX 4090 Laptop with 16 GB VRAM, QHD+ 240 Hz display, Core Ultra 9, 32 GB RAM, and 2 TB storage.

The main downsides are the expired warranty, cosmetic wear, and no original box. The laptop was originally bought in the US, but the US keyboard layout is not a downside for me. The charger is original; I may only need an EU power cable/adaptor.

Do you think 1800€ was a good price for this configuration, considering the condition and expired warranty? Anything specific I should test during the 48-hour buyer protection window?

Hello,

I’m looking for advice on building or buying a compact machine for AI projects, with gaming as a secondary use case.

My main priority is having as much VRAM as possible for local AI workloads, experiments with LLMs, model inference/fine-tuning where possible, and general machine learning projects. For this reason, I was considering a used RTX 3090, since 24 GB of VRAM seems much more useful for AI than a newer GPU with less memory.

Ideally, I would like something relatively easy to move or deploy, not necessarily a tiny mini-PC, but at least more compact and practical than a large full tower. I’m also open to the idea of a laptop if there is a realistic option with a high amount of VRAM, but from what I’ve seen, laptops usually seem worse in terms of VRAM, thermals, price/performance, and upgradeability.

My current idea is something like:

• Used RTX 3090 24 GB
• Compact case, possibly Mini-ITX or small mATX
• Strong enough CPU, but not necessarily overkill
• 32 GB RAM or more (getting 64 as soon price are gonna lower a bit)
• Good cooling and PSU, since the 3090 is power-hungry
• Linux-friendly setup, preferably for CUDA/PyTorch/TensorFlow work, I will get also windows only for gaming

The main questions I have are:

1. Is a used RTX 3090 still the best value choice if VRAM is the priority?
2. Is it realistic to build a compact system around a 3090 without major thermal/noise problems?
3. Are there any good prebuilt mini-PC/workstation options with high-VRAM GPUs?
4. Is there any laptop that would make sense for this use case, or should I avoid laptops entirely?
5. Would you recommend a different GPU instead, considering AI first and gaming second?

My budget is flexible, but I care a lot about value. I would rather spend money on VRAM and reliability than on unnecessary aesthetics or extreme CPU performance. The market is EU, not USA.

Any advice, example builds, case recommendations, or warnings about buying a used 3090 would be appreciated.