RTX 2080 Ti

RTX 2080 Ti Specifications

The RTX 2080 Ti is based on the Turing architecture and manufactured using the 12 nm process node. It was launched approximately 6 years, 8 months ago, originally priced at $999. It features 4352 cores, including 40 compute units (SMs), 272 texture mapping units (TMUs), and 88 render output units (ROPs). For ray tracing and AI-accelerated tasks, it also includes 68 dedicated RT cores and 544 Tensor cores, enabling advanced rendering and upscaling features where supported. It has a base clock of 1350 MHz and a boost clock reaching up to 1545 MHz. The RTX 2080 Ti comes equipped with 11 GB of GDDR6 memory across a 352-bit bus. Memory runs at 1750 MHz and delivers a total memory bandwidth of 616 GB/s.

This GPU has a moderate thermal design power (TDP) of 250 W. A PC case with good airflow and a quality power supply are required for stable operation. Due to the moderate TDP, this GPU is suitable for small form factor builds with somewhat limited airflow.

RTX 2080 Ti Performance Review

RTX 2080 Ti is an entry-level graphics card with a relative gaming performance score of 38.77%. It performs well at 1080p and can handle 1440p with optimized settings or features like DLSS and FSR, though it's not suitable for 4K. Intended for for casual gamers or users who play occasionally on general-purpose PCs.

The RTX 2080 Ti pairs a relatively powerful GPU core with a moderate VRAM size of 11 GB — a configuration that's becoming increasingly common. However, this pairing has sparked significant discussion in the gaming and tech review communities. Many modern GPUs with strong processing capabilities are equipped with insufficient VRAM (often less than 16 GB), which prevents them from realizing their full potential. As a result, GPUs like this one often deliver excellent performance in 1080p gaming at ultra settings, and perform well at 1440p in many titles. However, as modern games demand more VRAM — particularly due to high-resolution textures, ray tracing, and expansive open worlds — this limited memory becomes a bottleneck. In 4K gaming, performance can drop significantly due to VRAM exhaustion, leading to underutilization of the GPU core itself. Technologies such as DLSS or FSR can mitigate some of the performance loss at higher resolutions, but this often comes with a tradeoff in visual fidelity. This GPU configuration still handles basic to intermediate content creation tasks well — such as 1080p/1440p video editing, lightweight 3D modeling, and digital art workflows. For AI and machine learning applications, the GPU is capable of running small to mid-sized models and performing inference tasks. However, limited VRAM restricts its ability to handle larger models, which may require downsampling, reduced batch sizes, or precision reduction to run effectively.

RTX 2080 Ti achieves a solid performance-per-price ratio of 57.9%. It is suitable for current 1080p and 1440p gaming. However, due to the limited VRAM, it may struggle with future games or long-term use.