Modified RTX 3080 20GB GPUs Hit China for $445

Modified RTX 3080 graphics cards with 20GB of video memory are appearing in significant numbers in the Chinese second-hand market. These unofficially modified units offer a practical entry point for users who need local AI computing power without paying premium prices for newer hardware. The trend highlights a growing demand for affordable VRAM capacity in the consumer AI segment.

Unofficial cards with doubled VRAM target local AI users

NVIDIA originally designed the RTX 3080 with 10GB or 12GB of memory, but these new units feature a modified 20GB VRAM capacity. The cards retain the original 8704 CUDA cores and a 320-bit memory bus width. This hardware configuration allows the cards to deliver a memory bandwidth of 760GB/s, which is significantly higher than the 288GB/s found in the similarly priced RTX 4060 Ti 16GB.

Specifications

• CUDA Cores: 8704
• Memory Bus Width: 320-bit
• Memory Bandwidth: 760GB/s
• Modified VRAM Capacity: 20GB
• Power Consumption: 320W

The modified cards operate at a power consumption of 320W. They are currently listed at approximately 3000 CNY (around $445), which converts to around $445. This price point provides a doubled memory capacity compared to standard 10GB models at a fraction of the cost of new generation cards. The high bandwidth and large VRAM buffer make these cards suitable for handling local AI large model inference and high-resolution generation tasks.

These modified units are produced by third-party workshops and lack official NVIDIA certification or warranty coverage. The source warns that the quality of memory chips and PCB soldering is unverified, which poses durability risks. Long-term performance under the 320W power load remains unconfirmed due to the lack of official testing. Buyers should be aware that these are unofficial modifications that may not meet standard reliability benchmarks.

The modified RTX 3080 20GB cards have gained popularity among local AI users in China due to their high cost-performance ratio. They serve as a viable alternative for users who need 20GB of VRAM for AI workloads but cannot afford newer hardware. The availability of these cards in the second-hand market provides a temporary solution for budget-conscious AI enthusiasts.