Nvidia RTX 2080 Ti graphics cards are receiving VRAM upgrades, doubling their memory capacity from 11GB to 22GB. This modification addresses the increasing VRAM demands of modern large language model (LLM) and diffusion workloads, giving older GPUs extended utility in AI applications.
The upgrade process involves disassembling the graphics card to access the PCB. The original 11x 1GB GDDR6 VRAM modules are replaced with 11x 2GB GDDR6 modules. Additionally, physical adjustments to the strap resistors on the PCB are necessary to support a new BIOS that recognizes the increased memory.
Specialized services are emerging to perform these complex modifications. GPU Solutions, based in the UAE, is one such vendor offering VRAM upgrades for both the RTX 2080 Ti and RTX 3070, serving customers globally. They have demonstrated the upgrade on an Asus Strix variant via their YouTube channel.
For users without an RTX 2080 Ti to modify, pre-modded cards are available. A Hong Kong-based seller on eBay is offering 22GB RTX 2080 Ti cards for $499. These listings typically feature blower-style cards, with the specific brand varying based on availability, including Gigabyte, MSI, ASUS, and Leadtek.
The increased VRAM capacity makes these older RTX 2080 Ti cards more viable for VRAM-intensive AI tasks. This provides a more cost-effective option for individuals and small operations seeking compute power for LLM and diffusion models, compared to investing in newer, more expensive GPUs.
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A Hong Kong-based seller is offering pre-modified Nvidia RTX 2080 Ti graphics cards with 22GB of VRAM on eBay for $499. This modification doubles the original memory, making the older GPUs more suitable for current large language model and diffusion workloads at a lower cost than newer alternatives.
GPU Solutions, a UAE-based service, is offering a VRAM upgrade for Nvidia RTX 2080 Ti graphics cards, increasing memory from 11GB to 22GB. This service involves replacing VRAM modules and physically adjusting PCB resistors to support a new BIOS, making a complex modification accessible to more users.