GoKawiilSRhonyra lists low-profile, bus-powered RTX 3060 12GB for $496 on Newegg
SRhonyra is selling a single-slot, low-profile RTX 3060 with 12GB of memory and dual monitor outputs that draws all its power from the PCIe slot rather than external connectors, priced at $495.59 on Newegg. The card, once seen for around $340 two months ago, reflects a broader surge in GPU pricing, and the vendor markets it specifically as suitable for running 7B to 13B parameter local LLMs.
GoKawiil's interpretation of the reporting above, not reported fact.
Its compact size and 70W power draw make it easy to install multiple units in one system without worrying about airflow, cabling, or a beefy power supply, appealing to hobbyists who want to pool VRAM across several cards for larger local AI models. The steep price jump also illustrates how demand and supply constraints are pushing even older, niche GPU variants well above their original cost.
- The RTX 3060 12GB low-profile card draws only 70W from the PCIe slot, needing no external power connectors.
- Its single-slot, compact design lets users install multiple cards in one system to combine VRAM for bigger LLMs.
- Pricing has risen sharply from about $340 to nearly $496 in just two months, mirroring wider GPU market inflation.
SRhonyra RTX 3060 12GB Low Profile — This is the exact card the article spotlights: a single-slot, low-profile RTX 3060 with 12 GB of VRAM that draws its power from the PCIe slot, so no extra cables or beefy PSU needed. That makes it an interesting pick for cramming into a small-form-factor box or stacking a few for entry-level local LLM experiments with 7B-13B models.
See SRhonyra RTX 3060 12GB Low Profile on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: tomshardware.com — Bruno Ferreira, 2026-09-08
Published there as: “One-slot, low-profile Nvidia RTX 3060 12 GB with two monitor outputs breaks cover at Newegg for $496 — bus-powered model looking for a use case in local LLM work”
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