Modified RTX 2080 Ti Cards Appear on eBay
A Hong Kong-based eBay seller has listed modified Nvidia RTX 2080 Ti GPUs with 22GB of VRAM for about $500, according to Tom's Hardware. The listing offers blower-style cards from unspecified board partners and shows a GPU-Z image reporting 22,528MB of memory. Tom's Hardware reports that feedback on the listing includes at least 38 buyers who received cards.
A Hong Kong-based eBay seller has listed Nvidia RTX 2080 Ti graphics cards modified to carry 22GB of VRAM for approximately $500, according to Tom's Hardware. The cards are marketed for AI training, CUDA workloads, rendering, and deep learning.
Tom's Hardware reports that the listing promises a blower-style RTX 2080 Ti with the 22GB modification, but not a particular board vendor. The seller states that cards may come from Gigabyte, MSI, Asus, Leadtek, or other manufacturers depending on available inventory. Listing images include a Gigabyte blower-style card, a box of cards described as ready to ship, and a GPU-Z screenshot showing 22,528MB of available memory.
The offering doubles the RTX 2080 Ti's original memory pool. Tom's Hardware frames the modification as useful for local large language model and diffusion workloads, where available memory can constrain what runs on a single GPU.
Capacity helps, but modification risk remains
The listing focuses on increasing the memory capacity of older Nvidia hardware. Tom's Hardware describes older Nvidia GPUs with Tensor Cores as receiving renewed interest for modern LLM and diffusion workloads.
Tom's Hardware reports that the seller has 99.6% lifetime eBay feedback and that at least 38 buyers left positive feedback for this specific listing. Those indicators provide some evidence of fulfilled orders, but they do not independently establish long-term reliability, thermal behavior, warranty coverage, or consistency across modified cards from multiple board vendors.
For local AI practitioners, used and modified hardware can change the minimum cost of fitting a workload into a single GPU. Comparable aftermarket modifications also introduce validation work that is less common with standard retail hardware: teams typically benchmark sustained inference and training loads, inspect memory error behavior, verify CUDA and framework compatibility, and account for warranty coverage.
Key Points
- 1The listing doubles RTX 2080 Ti memory to 22GB, making VRAM-constrained local inference and diffusion workloads more feasible on used hardware.
- 2Tom's Hardware reports a roughly $500 price and at least 38 fulfilled-listing feedback entries, but long-term reliability remains unverified.
- 3Across modified used GPUs, practitioners typically trade lower acquisition cost for added validation, thermals, warranty, and component-consistency risk.
Scoring Rationale
The listing is a niche but practical data point for practitioners seeking affordable VRAM for local AI workloads. It does not introduce a new accelerator, software capability, or broadly supported platform, and the hardware modification carries material validation risk.
Sources
Public references used for this report.
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