Used RTX 3060 12 GB buying checklist
What to check on a second-hand RTX 3060 12 GB before it goes into a local-AI box, from the listing to the first half hour under load.
A used RTX 3060 is the low-cost way to get 12 GB of VRAM on CUDA, but it may have spent years in a mining rig. The checks below catch the failures you can see before and right after you pay. They don’t prove a card will last. Nothing can.
Know what you are buying
- 12 GB, not 8 GB. NVIDIA sold the RTX 3060 in two memory configurations: 12 GB of GDDR6 on a 192-bit bus, and 8 GB on a 128-bit bus. Both carry the same name. For local AI you want the 12 GB card; check the listing, the box and, once it runs, the memory total (step 1 below).
- The reference numbers. NVIDIA lists the RTX 3060 at 170 W of graphics card power, a 550 W system power requirement and a 93 °C maximum GPU temperature. NVIDIA notes that specifications vary by add-in-card maker, so check the exact model on its maker’s page.
- Partner cards differ. NVIDIA’s spec page gives no length or slot width for the RTX 3060; the cards you will find are partner designs. Length, slot width and power connectors vary by model. For example, ASUS lists its Dual RTX 3060 V2 OC at 200 mm long, two slots wide, with one 8-pin connector. Check the model against your case and PSU.
Ask the seller
- Was it mined on, for how long, and at what settings? PCWorld suggests asking how long the card was mined, whether it was underclocked, whether it ran stable, and what temperatures it saw. Evasive answers are an answer.
- Is it the 12 GB card? Ask for a photo of the label or box showing the memory size, or a screenshot of
nvidia-smi. - Has it been opened? New pads or paste are fine when done well, so ask what was replaced and with what.
- Can you see it running? A short video of the card in a working system under a stress test beats any photo.
- Can you return it? Buy where a return is possible after you have tested the card. The tests below are only worth running if a failed card can go back.
Inspect the card
- Fans first. PCWorld warns that constant mining wears fans. Spin each one by hand: it should turn freely, without grinding or wobble.
- Look for dust and damage. Thick dust, scratches on the shroud or backplate, or other signs it was jammed into a tight rig say how the card was kept. Check the PCIe fingers and the power connector for scorch marks or melted plastic.
Test it under load
These steps run on a Linux box with the NVIDIA driver installed.
- Check what the system sees.
nvidia-smi -qlists the card, its power limits and the PCIe link. Under FB Memory Usage, Total should read about 12 GB (12288 MiB); about 8 GB means the 8 GB model. - Run a compute burn.
gpu-burnis a multi-GPU CUDA stress test. The RTX 3060 is compute capability 8.6, so build it withmake COMPUTE=86(the default targets 7.5), then rungpu_burn -m 90% 1800for half an hour on 90 % of the VRAM. At the end it prints OK or FAULTY per GPU. FAULTY means the card goes back. - Watch temperatures and clock events. In a second terminal, run
nvidia-smi -q -d TEMPERATURE,PERFORMANCE -l 60to print a report every 60 seconds. The temperature section shows the current GPU temperature next to the slowdown and shutdown thresholds. The performance section lists clock event reasons. A card that keeps hitting HW Thermal Slowdown in a cool room needs new paste or a clean. - Watch for artifacts and shutdowns. PCWorld notes that a stress test is what exposes screen artifacts and sudden shutdowns. Either one is a fail.
Settle it in the box
- Cap the power if you need to.
nvidia-smi -plsets the maximum power limit in watts (it needs root).nvidia-smi -qshows the card’s Default Power Limit. With two or more cards on one PSU, a limit below that default keeps the total in check.
Parts in this guide
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| Part | Buy US | Buy DE | Buy UK |
|---|---|---|---|
| NVIDIA GeForce RTX 3060 12 GB (ASUS Dual V2 OC) |
Related
Sources
- https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3060-3060ti/
- https://www.asus.com/motherboards-components/graphics-cards/dual/dual-rtx3060-o12g-v2/techspec/
- https://www.pcworld.com/article/3633610/should-you-buy-a-used-mining-gpu.html
- https://docs.nvidia.com/deploy/nvidia-smi/index.html
- https://github.com/wilicc/gpu-burn
- https://developer.nvidia.com/cuda-gpus
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