RTX 4070 SUPER

RTX 4070 SUPER Review & Specifications

The RTX 4070 SUPER is based on the Ada Lovelace architecture and manufactured using the 5 nm nm process node. It was launched approximately 2 years, 6 months ago, originally priced at $599. It features 7168 cores, including 24 compute units (SMs), 224 texture mapping units (TMUs), and 80 render output units (ROPs). For ray tracing and AI-accelerated tasks, it also includes 56 dedicated RT cores and 224 Tensor cores, enabling advanced rendering and upscaling features where supported. It has a base clock of 1980 MHz and a boost clock reaching up to 2475 MHz. The RTX 4070 SUPER comes equipped with 12 GB of GDDR6X memory across a 192-bit bus. Memory runs at 1313 MHz and delivers a total memory bandwidth of 504 GB/s.

This GPU has a moderate thermal design power (TDP) of 220 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 4070 SUPER Performance

RTX 4070 SUPER is a mid-range graphics card, scoring 57.54% in relative gaming performance. Thanks to 12 GB of VRAM, it offers excellent 1440p performance and can handle 4K gaming with optimized settings or the help of DLSS, FSR, and frame generation. Great for users targeting 100+ FPS at 1440p or playable 4K in lighter titles.

The RTX 4070 SUPER pairs a relatively powerful GPU core with a moderate VRAM size of 12 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 like DLSS can mitigate some of the performance loss at higher resolutions, although this may come at the cost of visual fidelity. Content creators will find it suitable for HD and QHD editing, small-scale 3D work, and digital painting. Importantly, NVIDIA’s support for CUDA, cuDNN, and TensorRT gives this GPU a distinct edge in AI and ML workloads. It can handle inference, fine-tuning, and training of small to intermediate models with good efficiency, provided batch sizes and precision are tuned for memory constraints. An ideal starting point for AI learners and developers.

RTX 4070 SUPER achieves a solid performance-per-price ratio of 58.3%. 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.