EVGA GeForce RTX 3070 Ti XC3 Ultra Gaming, 08G-P5-3785-KL, 8GB GDDR6X, iCX3 Cooling, ARGB LED, Metal Backplate

RTX 3070 Ti Review & Specifications

The RTX 3070 Tiis based on the Ampere architecture and manufactured using the 8 nm process node. It was launched approximately 4 years ago, originally priced at $599. It features 6144 cores, including 48 compute units (SMs), 192 texture mapping units (TMUs), and 96 render output units (ROPs). For ray tracing and AI-accelerated tasks, it also includes 48 dedicated RT cores and 192 Tensor cores, enabling advanced rendering and upscaling features where supported. It has a base clock of 1575 MHz and a boost clock reaching up to 1770 MHz. The RTX 3070 Ti comes equipped with 8 GB of GDDR6X memory across a 256-bit bus. Memory runs at 1188 MHz and delivers a total memory bandwidth of 608 GB/s.

This GPU has a moderate thermal design power (TDP) of 290 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 3070 Ti Performance

RTX 3070 Ti is a mid-range graphics card, scoring 42.46% in relative gaming performance. However, the limited 8 GB of VRAM may lead to severe memory bottlenecks at 4K, even with DLSS or FSR. It’s best suited for high FPS in 1080p or smooth 1440p performance, but not recommended for demanding 4K gaming.

The RTX 3070 Ti pairs a relatively powerful GPU core with a moderate VRAM size of 8 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.

With a 37.2% performance-per-price ratio, this GPU offers limited value. Its low VRAM and modest performance make it a poor long-term investment, especially with better alternatives available.